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Discover, verify, and maintain zero-priced OpenRouter models for Pi child-agent workflows used by Muse, Grokbot, or Dot.
The only OpenRouter CLI built for fleet operations: budgets, anomaly alarms, and failover maps over a local usage ledger — not another chat wrapper.
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-openrouter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library/ai/openrouter .claude/skills/pp-openrouter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .claude/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-openrouter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .agents/skills && cp -r skills-src/library/ai/openrouter .agents/skills/pp-openrouter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .agents/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-openrouter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/library/ai/openrouter .cursor/skills/pp-openrouter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .cursor/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mvanhorn/printing-press-library.git --path library/ai/openrouter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-openrouter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/library/ai/openrouter .gemini/skills/pp-openrouter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .gemini/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mvanhorn/printing-press-library pp-openrouterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .github/skills && cp -r skills-src/library/ai/openrouter .github/skills/pp-openrouter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .github/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mvanhorn/printing-press-library pp-openrouter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/library/ai/openrouter .opencode/skills/pp-openrouter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pp-openrouter" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/openrouter into .opencode/skills/pp-openrouter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-openrouter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pp-openrouterThe only OpenRouter CLI built for fleet operations: budgets, anomaly alarms, and failover maps over a local usage ledger — not another chat wrapper.
Pp Openrouter is an agent skill from mvanhorn/printing-press-library. The only OpenRouter CLI built for fleet operations: budgets, anomaly alarms, and failover maps over a local usage ledger — not another chat wrapper. Trigger phrases: which model is cheapest for this task, what did my crons spend on openrouter, check openrouter credits runway, is openrouter degraded right now, why did my openrouter cost spike, use openrouter, run openrouter.
Its SKILL.md is about 10k tokens, which your agent loads only when the skill is triggered. The skill folder holds 390 other files (for example `.golangci.yml`, `.goreleaser.yaml` and `.manuscripts/20260901-171359-a49ee862/proofs/2026-09-03-005439-dogfood-results.json`).
It sits in AI & LLM Engineering, covering Model routing and gateways. It works with OpenRouter. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 76de244. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
claudenpxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
creativecommons.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENROUTER_MANAGEMENT_KEYOPENROUTER_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Openrouter loads about 10k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 4,269 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from mvanhorn/printing-press-library at commit 76de244, republished under its Apache-2.0 licence (© mvanhorn). 4,269 words, ~10,043 tokens.
.claude/skills/pp-openrouter/SKILL.md (or your agent's skills folder). This skill also uses 385 other files; get the full folder from GitHub.This skill drives the openrouter-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install openrouter --cli-onlyopenrouter-pp-cli --version$PATH for the agent/runtime that will invoke this skill.If the npx install fails before this CLI has a public-library category, install Node or use the category-specific Go fallback after publish.
If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.
Every other OpenRouter tool wraps chat; this one governs it. A synced local mirror of models, generations, and credits powers per-cron cost attribution (usage cost-by), pre-flight budget gates (budget check), degradation watches (providers degraded), and runway projections (credits runway) that no single API call can answer. The full endpoint surface — catalog, keys admin, activity, analytics — ships alongside as typed commands.
Reach for this CLI when the task is operating LLM workloads over OpenRouter: attributing spend to crons or agents, gating scheduled runs on budgets, shortlisting models by capability and price, watching provider health before dispatch, or projecting credit and cap runway. It is the right tool whenever the question spans local history plus the API — anything a single raw HTTP call cannot answer.
Do not use this CLI for:
These capabilities aren't available in any other tool for this API.
models query — Shortlist models by capability, price, and context window with a structured query over the synced catalog — offline and instant.
Reach for this instead of fetching the full catalog: it answers a shortlist question in ~200 tokens instead of hundreds of KB.
openrouter-pp-cli models query "tools=true cost.completion<5 ctx>=128k" --agentmodels churn — See what changed in the model catalog between syncs: additions, removals, and repricings with deltas.
Use this to catch a pinned model repricing or vanishing before the invoice does.
openrouter-pp-cli models churn --since 7d --agentusage cost-by — Attribute spend to the cron, agent, or lineage that incurred it, over any window.
Use this when the question is 'which job burned the money', not 'which model'.
openrouter-pp-cli usage cost-by --since 7d --agentusage anomaly — Flag per-model cost spikes against the trailing baseline before they compound.
Run this in a daily cron to catch a misbehaving lineage the day it regresses, not at invoice time.
openrouter-pp-cli usage anomaly --since 24h --agentbudget — Set spend caps per cron or agent and enforce them pre-flight with typed exit codes.
Gate a scheduled run on exit code 0/8 so an over-budget lineage never fires.
openrouter-pp-cli budget check nightly-draftergeneration explain — Break one generation into its cost anatomy: tokens, latency, and the delta versus the cheapest provider.
The next command after an anomaly fires: it turns 'cost spiked' into 'this call, this provider, this delta'.
openrouter-pp-cli generation explain gen-abc123 --agentusage reconcile — Verify the local usage mirror against upstream daily totals and flag days that disagree.
Run this before trusting any local cost analysis — it is the trust root for the other usage commands.
openrouter-pp-cli usage reconcile --since 7d --agentproviders degraded — See which providers or models are currently degraded before dispatching work to them.
Check this before dispatch to route around trouble instead of retrying into it.
openrouter-pp-cli providers degraded --agentendpoints failover — Rank the providers serving one model by status, price, and observed latency for dispatch order.
Feed this to a router to pre-empt degraded providers for a specific model.
openrouter-pp-cli endpoints failover deepseek/deepseek-v4 --agentkey eta — Project the date your key's spend cap trips, from the observed burn rate.
Use this to plan the week's runs against the cap instead of discovering it mid-run.
openrouter-pp-cli key eta --agentlimits status — One view of current headroom: key-cap remaining, free-tier daily quota, and today's free-model burn.
Check before a free-tier dev loop or fleet dispatch to avoid opaque 429s.
openrouter-pp-cli limits status --agentcredits runway — Project days-to-zero for prepaid credits at the trailing burn rate — the 402 leading indicator.
A daily cron on this answers 'when do we hit 402' while there is still time to top up.
openrouter-pp-cli credits runway --agentactivity — Manage activity
openrouter-pp-cli activity — Returns user activity data grouped by endpoint for the last 30 (completed) UTC days.audio — Manage audio
openrouter-pp-cli audio create-speech — Synthesizes audio from the input text. Returns a raw audio bytestream in the requested format (e.g. mp3, pcm, wav).openrouter-pp-cli audio create-transcriptions — Transcribes audio into text.benchmarks — Benchmarks endpoints
openrouter-pp-cli benchmarks — Unified benchmark endpoint that aggregates scores from multiple benchmark sources (Artificial Analysis, Design Arenabyok — BYOK endpoints
openrouter-pp-cli byok create-byokkey — Create a new bring-your-own-key (BYOK) provider credential.openrouter-pp-cli byok delete-byokkey — Delete (soft-delete) a bring-your-own-key (BYOK) provider credential by its id.openrouter-pp-cli byok get-byokkey — Get a single bring-your-own-key (BYOK) provider credential by its id.openrouter-pp-cli byok list-byokkeys — List the bring-your-own-key (BYOK) provider credentials for the authenticated entity's default workspace.openrouter-pp-cli byok update-byokkey — Update an existing bring-your-own-key (BYOK) provider credential by its id.chat — Chat completion endpoints
openrouter-pp-cli chat — Sends a request for a model response for the given chat conversation. Supports both streaming and non-streaming modes.classifications — Task classification market-share endpoints
openrouter-pp-cli classifications — Returns the market-share breakdown of OpenRouter traffic by task classification (e.g.containers — Containers endpoints
credits — Credit management endpoints
openrouter-pp-cli credits create-coinbase-charge — Deprecated.openrouter-pp-cli credits get — Get total credits purchased and used for the authenticated user.datasets — Public OpenRouter usage datasets. Data returned by these endpoints is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/): reuse and republish it, including commercially, with attribution to OpenRouter.
openrouter-pp-cli datasets get-app-rankings — Returns the top public apps on OpenRouter ranked by token usage inside the requested date windowopenrouter-pp-cli datasets get-rankings-daily — Returns the top 50 public models per day by total token usage on OpenRouteropenrouter-pp-cli datasets get-session-cost — Returns weekly refreshed, aggregated cost-per-session cells for the published harnesses.embeddings — Text embedding endpoints
openrouter-pp-cli embeddings create — Submits an embedding request to the embeddings routeropenrouter-pp-cli embeddings list-models — Returns a list of all available embeddings models and their propertiesendpoints — Endpoint information
openrouter-pp-cli endpoints — Preview the impact of ZDR on the available endpointsfiles — Files endpoints
openrouter-pp-cli files delete — Deletes a file owned by the requesting workspace. Deletion is irreversible.openrouter-pp-cli files get-metadata — Retrieves metadata for a single file owned by the requesting workspace.openrouter-pp-cli files list — Lists files belonging to the workspace of the authenticating API key.openrouter-pp-cli files upload — Uploads a file to be referenced in future API calls.generation — Generation history endpoints
openrouter-pp-cli generation get — Get request & usage metadata for a generationopenrouter-pp-cli generation list-content — Get stored prompt, completion, and error content for a generationopenrouter-pp-cli generation submit-feedback — Submit structured feedback on a generation the authenticated user made.guardrails — Guardrails endpoints
openrouter-pp-cli guardrails create — Create a new guardrail for the authenticated user.openrouter-pp-cli guardrails delete — Delete an existing guardrail. Management key required.openrouter-pp-cli guardrails get — Get a single guardrail by ID. Management key required.openrouter-pp-cli guardrails list — List all guardrails for the authenticated user.openrouter-pp-cli guardrails list-key-assignments — List all API key guardrail assignments for the authenticated user.openrouter-pp-cli guardrails list-member-assignments — List all organization member guardrail assignments for the authenticated user.openrouter-pp-cli guardrails update — Update an existing guardrail, or materialize an unconfigured workspace default guardrail.images — Images endpoints
openrouter-pp-cli images create — Generates an image from a text prompt via the image generation routeropenrouter-pp-cli images list-model-endpoints — Returns the full per-endpoint records for an image model: each endpoint's definitive supported parameters, pricingopenrouter-pp-cli images list-models — Lists every image generation model with its top-level supported-parameter superset and a URL to its full per-endpointkey — Manage key
openrouter-pp-cli key — Get information on the API key associated with the current authentication sessionkeys — Manage keys
openrouter-pp-cli keys create — Create a new API key for the authenticated user. The plaintext key is returned only in this response.openrouter-pp-cli keys delete — Delete an existing API key.openrouter-pp-cli keys get — Get a single API key by hash. Management key required.openrouter-pp-cli keys list — List all API keys for the authenticated user. Management key required.openrouter-pp-cli keys update — Update an existing API key.messages — Manage messages
openrouter-pp-cli messages — Creates a message using the Anthropic Messages API format. Supports text, images, PDFs, tools, and extended thinking.model — Model information endpoints
openrouter-pp-cli model <author> <slug> — Returns full details for a single model identified by its author and slug (e.g. openai/gpt-4).models — Model information endpoints
openrouter-pp-cli models get — List all models and their propertiesopenrouter-pp-cli models list-count — Get total count of available modelsopenrouter-pp-cli models list-user — List models filtered by user provider preferences, [privacy settings](https://openrouter.observability — Observability endpoints
openrouter-pp-cli observability create-destination — Create a new observability destination. A maximum of 5 destinations per type is allowed.openrouter-pp-cli observability delete-destination — Delete an existing observability destination. This performs a soft delete.openrouter-pp-cli observability get-destination — Fetch a single observability destination by its UUID.openrouter-pp-cli observability list-destinations — List the observability destinations configured for the authenticated entity's default workspace.openrouter-pp-cli observability update-destination — Update an existing observability destination. Only the fields provided in the request body are updated.openrouter-analytics — Manage openrouter analytics
openrouter-pp-cli openrouter-analytics get-meta — Returns the available metrics, dimensions, filter operators, and granularities for the analytics query endpoint.openrouter-pp-cli openrouter-analytics query — Execute an analytics query with specified metrics, dimensions, filters, and time range.openrouter-auth — Manage openrouter auth
openrouter-pp-cli openrouter-auth create-keys-code — Create an authorization code for the PKCE flow to generate a user-controlled API keyopenrouter-pp-cli openrouter-auth exchange-code-for-apikey — Exchange an authorization code from the PKCE flow for a user-controlled API keyorganization — Organization endpoints
openrouter-pp-cli organization — List all members of the organization associated with the authenticated management key.presets — Presets endpoints
openrouter-pp-cli presets get — Retrieves a preset by its slug with its currently designated version inline.openrouter-pp-cli presets list — Lists all presets for the authenticated user, ordered by most recently updated first.providers — Provider information endpoints
openrouter-pp-cli providers — List all providersrerank — Rerank endpoints
openrouter-pp-cli rerank — Submits a rerank request to the rerank routerresponses — OpenAI-compatible Responses API endpoints
openrouter-pp-cli responses — Creates a streaming or non-streaming response using OpenResponses API formatscim — SCIM endpoints
openrouter-pp-cli scim create-group-mapping — Create a SCIM group-to-workspace role mapping.openrouter-pp-cli scim delete-group-mapping — Delete a SCIM group-to-workspace mapping. Management key required.openrouter-pp-cli scim get-group-mapping — Get a SCIM group-to-workspace mapping. Management key required.openrouter-pp-cli scim list-group-mappings — List SCIM group-to-workspace mappings for the organization.openrouter-pp-cli scim list-groups — List SCIM groups for the organization. Management key required.openrouter-pp-cli scim update-group-mapping — Update a SCIM group mapping role. Management key required.videos — Manage videos
openrouter-pp-cli videos create — Submits a video generation request and returns a polling URL to check statusopenrouter-pp-cli videos get — Returns job status and content URLs when completedopenrouter-pp-cli videos list-models — Returns a list of all available video generation models and their propertiesworkspaces — Workspaces endpoints
openrouter-pp-cli workspaces create — Create a new workspace for the authenticated user.openrouter-pp-cli workspaces delete — Delete an existing workspace. Workspaces with active API keys cannot be deleted; remove the keys first.openrouter-pp-cli workspaces get — Get a single workspace by ID or slug. Management key required.openrouter-pp-cli workspaces list — List all workspaces for the authenticated user.openrouter-pp-cli workspaces update — Update an existing workspace by ID or slug. Management key required.When you know what you want to do but not which command does it, ask the CLI directly:
openrouter-pp-cli which "<capability in your own words>"which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.
openrouter-pp-cli usage cost-by --since 7d --agentThe weekly attribution pass: spend per cron/agent tag, ready to paste into a review note.
openrouter-pp-cli usage anomaly --since 24h --agentWhen a model flags, follow with 'generation explain <id>' to get tokens, latency, and the cheapest-provider delta for the offending call.
openrouter-pp-cli providers degraded --agentRun before firing a lineage; pair with 'endpoints failover <model>' to pick the dispatch order for the model you are about to use.
openrouter-pp-cli models endpoints list deepseek deepseek-v4 --agent --select data.endpoints.provider_name,data.endpoints.pricing.completion,data.endpoints.statusPer-model provider listings nest deeply; --select keeps the answer to the three fields a router actually needs.
openrouter-pp-cli budget check nightly-drafterExit code 0 under cap, 8 over — gate a scheduled run on this before it fires (e.g. 'budget check X && systemctl --user start X.service').
Standard bearer auth with your inference key via OPENROUTER_API_KEY covers models, credits, key status, and chat. Two surfaces need the separate provisioning (management) key created in the dashboard: key administration (/keys) and account-wide usage rollups (/activity, analytics). A 401 or 403 on those commands with an otherwise-working key means you are holding the inference key where the management key is required — not a broken setup. Live-verified 2026-09: /activity returns 403 'Only management keys can fetch activity' on an inference key.
The CLI reads a single env var (OPENROUTER_API_KEY); it does not read OPENROUTER_MANAGEMENT_KEY. To call management-key endpoints, set your management key as the API key for that invocation. Ensure OPENROUTER_MANAGEMENT_KEY is set in your environment first:
# Prerequisite: export OPENROUTER_MANAGEMENT_KEY=<your-management-key>
OPENROUTER_API_KEY="${OPENROUTER_MANAGEMENT_KEY}" openrouter-pp-cli keys list --agent
OPENROUTER_API_KEY="${OPENROUTER_MANAGEMENT_KEY}" openrouter-pp-cli activity --agentRun openrouter-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color.
Pipeable — JSON on stdout, errors on stderr
Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:
openrouter-pp-cli benchmarks --agent --select accuracy,accuracy_stddev,agentic_indexPreviewable — --dry-run shows the request without sending
Offline-friendly — sync/search commands can use the local SQLite store when available
Non-interactive — never prompts, every input is a flag
Explicit confirmation — --agent does not imply --yes; pass --yes separately only after the target, arguments, and side effects are clear
Explicit retries — use --idempotent only when an already-existing create should count as success, and use --ignore-missing only when a missing delete target should count as success
Commands that read from the local store or the API wrap output in a provenance envelope:
{
"meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
"results": <data>
}Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.
Agents should treat the CLI's path resolver as part of the runtime contract:
Use --home <dir> for one invocation, or set OPENROUTER_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: OPENROUTER_CONFIG_DIR, OPENROUTER_DATA_DIR, OPENROUTER_STATE_DIR, OPENROUTER_CACHE_DIR.
Resolution order is per-kind env var, --home, OPENROUTER_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.
Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.
Run openrouter-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.
For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:
{
"mcpServers": {
"openrouter": {
"command": "openrouter-pp-mcp",
"env": {
"OPENROUTER_HOME": "/srv/openrouter"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use OPENROUTER_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing OPENROUTER_HOME, or doctor will not find credentials left under the former root.
This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.
recall before any discoveryBefore list/search/drill commands on a new user question, run:
openrouter-pp-cli recall "<user's question>" --agentThe response envelope:
{
"query": "...",
"normalized": "<normalized form>",
"query_entities": ["..."],
"found": true | false,
"match_score": 0.0,
"results": [
{ "resource_id": "...", "resource_type": "...", "venue": "...",
"confidence": 2, "entity_match": "exact|partial|unknown",
"source": "taught|preseed|pattern", "warnings": ["..."] }
],
"mismatches": [ /* only when --debug-mismatches */ ],
"warnings": [ /* top-level */ ],
"candidates": [
{ "id": 12, "class": "flag_alias | playbook_candidate",
"summary": "...", "sightings": 3, "last_seen": "...",
"rationale": "...",
"next_action": ["<trial command>", "openrouter-pp-cli learnings confirm 12"] }
],
"playbook": {
"query_family": "...",
"playbook": {
"steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
"entity_slots": ["$ENTITY"],
"expected_tool_calls": 3
},
"slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
"notes": "<workarounds + gotchas for this query family>"
},
"notes": "<duplicate surface for non-playbook callers>"
}Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.
Read candidates, playbook, notes, results[0], and warnings in that order:
if Candidates present (warnings include "candidates_present"):
-> candidates are try-then-confirm, never facts. Follow each candidate's
two-step next_action verbatim: run the trial command first, then run
`learnings confirm <id>` only after the trial verified the behavior.
Reject a wrong candidate with `learnings reject <id>`.
-> NEVER re-teach something recall surfaced as a candidate; confirm or
reject that candidate instead of teaching a duplicate.
-> candidates ride alongside playbooks and resource hits, not instead of
them; continue with the branches below after acting on them.
if Playbook present:
-> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
-> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
for the entity slot tokens. If a step's slot is unresolved, fall back to
discovery for that step only.
-> the Playbook's expected_tool_calls is a budget; if you find yourself running
materially more, record the divergence via `openrouter-pp-cli playbook amend`
at end-of-session.
elif Notes present (no Playbook):
-> read Notes verbatim before any discovery step; they carry known gotchas
for this query family even when no structured choreography exists yet.
elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
-> skip discovery; fetch live data for Results[*].ResourceID in parallel
elif Found AND Results[0].EntityMatch == "partial":
-> candidate hint, NOT a hit; read the resource title to validate before trusting
elif (any row in Mismatches[] when --debug-mismatches was passed):
-> treat as cold start; the stored learning is for a different entity
(different canonical resolved from query_entities)
else: // Found == false, no playbook, no notes
-> cold start; run discovery normally; teach the answer afterward (Step 4).
If the family has no playbook yet, that teach auto-synthesizes a
playbook candidate from this session's journal - you do not need to
record one by hand.Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.
Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; openrouter-pp-cli learnings candidates lists the full open set.
Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.
warningslow_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run openrouter-pp-cli sync to refresh entity lookups.no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.teach & after finalizing your response - alwaysTeaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:
openrouter-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.
PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.
You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:
# Common case: record both the resource learning AND the playbook in one call.
openrouter-pp-cli teach \
--query "<user's question>" \
--resource <id> \
--playbook-file ~/playbooks/<shape>.json \
--playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)
# Alternate: playbook-only (no resource to record alongside).
openrouter-pp-cli teach-playbook \
--query "<user's question>" \
--playbook-file ~/playbooks/<shape>.json \
--notes-file ~/playbooks/<shape>-notes.mdPlaybook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.
When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.
playbook amend & when your debug response identifies a correctionIf your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.
openrouter-pp-cli playbook amend \
--query "<exact recall query string>" \
--add-note "<your concrete correction>"
# (append shell `&` to background it)What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:
{meta, results}, payload nested two levels deeper than the docs claim).What does NOT belong in notes:
The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).
playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:
If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.
openrouter-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.
--no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.OPENROUTER_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
openrouter-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
openrouter-pp-cli feedback --stdin < notes.txt
openrouter-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless OPENROUTER_FEEDBACK_ENDPOINT is set AND either --send is passed or OPENROUTER_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.
Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.
Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:
| Sink | Effect |
|---|---|
stdout | Default; write to stdout only |
file:<path> | Atomically write output to <path> (tmp + rename) |
webhook:<url> | POST the output body to the URL (application/json or application/x-ndjson when --compact) |
Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.
A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.
openrouter-pp-cli profile save briefing --json
openrouter-pp-cli --profile briefing benchmarks
openrouter-pp-cli profile list --json
openrouter-pp-cli profile show briefing
openrouter-pp-cli profile delete briefing --yesExplicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Usage error (wrong arguments) |
| 3 | Resource not found |
| 4 | Authentication required |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show openrouter-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:
claude mcp add openrouter-pp-mcp -- openrouter-pp-mcpVerify: claude mcp list
which openrouter-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:openrouter-pp-cli <command> [subcommand] [args] --agentopenrouter-pp-cli <command> --help.© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 385 other files in library/ai/openrouter of mvanhorn/printing-press-library.
Open the folder on GitHubat commit 76de244
Pp Openrouter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pp Openrouter this skillmvanhorn/printing-press-library | 2.1k | — | ~10k | Automated safety check: Notes | Apache-2.0 | |
| Freetoken Botslimin112/min-skill | 412 | — | ~1.3k | Automated safety check: Pass | None | |
| Add Modelget-convex/convex-evals | 130 | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| To Imgrtadewald/skills | 185 | — | ~673 | Automated safety check: Notes | None | |
| Openrouterdavidondrej/skills | 4.1k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Openrouter Text2musicQinghongLin/data2story-skill | 156 | — | ~618 | Automated safety check: Pass | MIT |
limin112/min-skill
Discover, verify, and maintain zero-priced OpenRouter models for Pi child-agent workflows used by Muse, Grokbot, or Dot.
get-convex/convex-evals
Add a new model to the convex-evals coding leaderboard, and optionally the decision benchmark, through a PR, then dispatch its baseline runs.
rtadewald/skills
Gera imagens em paralelo via OpenRouter a partir de um pedido simples ou de um batch com prompts e filenames definidos.
davidondrej/skills
Design, build, debug, and optimize OpenRouter API integrations.
QinghongLin/data2story-skill
Generate atmospheric sound-design / SFX (NOT speech, NOT the front-of-blog BGM) via OpenRouter using Google Lyria 3 Pro.
QinghongLin/data2story-skill
Generate music (NOT speech) via OpenRouter using Google Lyria 3 Pro.
mvanhorn/printing-press-library
Desktop automation through the real Rust agent-desktop CLI, published in Printing Press through a small bridge.
mvanhorn/printing-press-library
Search, browse, and download Google Fonts from the terminal via the gfonts CLI.
mvanhorn/printing-press-library
The free, offline Trigger phrases: search 1688 for, find a factory on 1688 for, wholesale price on 1688 for, who is the cheapest supplier on 1688 for, compare 1688 suppliers for, use 1688, run 1688.
mvanhorn/printing-press-library
Inspect known Activity Japan plan IDs or URLs, compare dated prices and sessions, check language-sitemap coverage, and hand off to canonical booking pages.
mvanhorn/printing-press-library
Every Admin By Request portal action, plus a local SQLite mirror of audit, events, inventory and requests for ad-hoc...
mvanhorn/printing-press-library
macOS screen capture, window recording, GIF conversion, and agent evidence bundles from the terminal.
Works with
Categories
The only OpenRouter CLI built for fleet operations: budgets, anomaly alarms, and failover maps over a local usage ledger — not another chat wrapper. Pp Openrouter is an agent skill from mvanhorn/printing-press-library. The only OpenRouter CLI built for fleet operations: budgets, anomaly alarms, and failover maps over a local usage ledger — not another chat wrapper.
Pp Openrouter fits situations like: phrases: which model is cheapest for this task; what did my crons spend on openrouter; check openrouter credits runway; is openrouter degraded right now.
Run `npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a claude-code`. Or copy the skill folder (library/ai/openrouter in mvanhorn/printing-press-library) into .claude/skills/pp-openrouter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a codex`. Or copy the skill folder (library/ai/openrouter in mvanhorn/printing-press-library) into .agents/skills/pp-openrouter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-openrouter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-openrouter, .gemini/skills/pp-openrouter, .github/skills/pp-openrouter and .opencode/skills/pp-openrouter in your project.
Going by SKILL.md and its folder, Pp Openrouter needs the command-line tools its instructions call (claude and npx) and credentials named OPENROUTER_MANAGEMENT_KEY and OPENROUTER_API_KEY. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.
SKILL.md names 1 domain. As links in the text: creativecommons.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Pp Openrouter is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 10k tokens (SKILL.md is roughly 40k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pp Openrouter: Freetoken Bots (limin112/min-skill, 412 stars), Add Model (get-convex/convex-evals, 130 stars), To Img (rtadewald/skills, 185 stars) and Openrouter (davidondrej/skills, 4.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.
Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.