Agent Squad Python Guide
2FastLabs/agent-squad
Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
A skill your agent uses when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed…
$ npx skills add bitrouter/bitrouter --skill run-bitrouter-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --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/bitrouter/bitrouter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/run-bitrouter-benchmark .claude/skills/run-bitrouter-benchmark && 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 "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .claude/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmarkType 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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitrouter/bitrouter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/run-bitrouter-benchmark .agents/skills/run-bitrouter-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .agents/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitrouter/bitrouter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/run-bitrouter-benchmark .cursor/skills/run-bitrouter-benchmark && 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 "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .cursor/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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/bitrouter/bitrouter.git --path skills/run-bitrouter-benchmark--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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitrouter/bitrouter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/run-bitrouter-benchmark .gemini/skills/run-bitrouter-benchmark && 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 "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .gemini/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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 bitrouter/bitrouter run-bitrouter-benchmarkInstalls 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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bitrouter/bitrouter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/run-bitrouter-benchmark .github/skills/run-bitrouter-benchmark && 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 "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .github/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bitrouter/bitrouter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/run-bitrouter-benchmark .opencode/skills/run-bitrouter-benchmark && 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 "run-bitrouter-benchmark" agent skill from https://github.com/bitrouter/bitrouter/tree/main/skills/run-bitrouter-benchmark into .opencode/skills/run-bitrouter-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-bitrouter-benchmark", 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.
run-bitrouter-benchmarkA skill your agent uses when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed…
Run Bitrouter Benchmark is an agent skill from bitrouter/bitrouter. Use when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed providers and models, or optionally operating BitRouter OSS on AWS.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/agents.md` and `references/aws.md`).
It sits in AI & LLM Engineering, covering Model routing and gateways. It works with Amazon Web Services, Model Context Protocol, OpenAI and Rust. The repository describes itself as: The minimal interpretable model router that learns & adapts to your agent workflows. 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 d6dfc24. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Run Bitrouter Benchmark loads about 2.2k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 1,159 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 found no risky patterns in SKILL.md.
Automated 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 bitrouter/bitrouter at commit d6dfc24, republished under its Apache-2.0 licence (© bitrouter). 1,159 words, ~2,248 tokens.
.claude/skills/run-bitrouter-benchmark/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Let Harbor own tasks, trials, environments, concurrency, scoring, artifacts, and resume. BitRouter is the model endpoint. Ask only for choices that cannot be discovered, then obtain one explicit confirmation of the resolved run before paid or mutating actions. Detected config and credentials are never permission. Treat every path, command, port, profile, region, service, package manager, and repository layout as specific to the current user's environment; discover or ask for it instead of inheriting assumptions from the skill author's machine.
Before discovery, ask for every missing choice together in one short message and stop. Do not infer an unspecified choice from local state:
If the user chooses a new custom config, ask one follow-up for the entry
preset/model, reachable provider/model targets, fallback, and credential source
names. Do not require a baseline when the user only wants one routed score. Do
not ask AWS questions when neither BitRouter AWS deployment nor a Harbor
AWS/EC2 environment is selected. Treat any as permission for that named
choice only; never default a different missing choice. Ask all remaining Stage
1 choices together.
Inspect without external mutation:
Use read-only host discovery first. A command absent from PATH is unresolved,
not proof that the software is uninstalled. After discovery, batch all access
methods or paths that remain genuinely unresolved into one conditional prompt.
If installation or repair is needed and no preference was supplied, propose a
pinned method appropriate to the confirmed host/runtime in the Stage 2 plan;
do not add a separate preference round. Never assume this repository is checked
out.
Use the official template from the same stable release/tag/commit as the
selected BitRouter binary. If AWS deployment has no preselected binary, propose
the latest stable OSS release and its matching template as the default. Use
main, a development branch, or another worktree only when the user selects
its exact repository, ref, and path. If binary or endpoint provenance is
unavailable, say unverified; never invent a template match. If the selected
release has no compatible template, ask for an existing or custom config
instead of silently using starter output.
Classify the result:
Load the bitrouter skill when available for current BitRouter CLI, config,
provider, and harness facts. Otherwise inspect the selected binary and source;
do not copy stale details from this benchmark skill.
Present one compact plan containing:
Require one explicit confirmation before installation, service start, secret-store write, paid provider request, AWS mutation, benchmark launch, or upload. Reconfirm provider/model targets even when they came from existing config. Read agents.md for agent protocol and smoke checks; read aws.md when operating BitRouter or a Harbor EC2 environment on AWS.
Validate the selected BitRouter config through the selected binary. A remote OSS endpoint must use private reachability or TLS, inbound authentication, and restricted network sources; never expose a loopback/unauthenticated starter unchanged. Keep upstream credentials at the router or its authorized secret service. Give Harbor only the BitRouter endpoint and inbound credential.
Run the confirmed bounded smoke through the selected Harbor agent protocol. Protocol success for one agent does not validate another. Stop on wrong endpoint, model, fallback, auth, or route behavior.
Read harbor.md. Prefer the benchmark's pinned job config
for official runs. Otherwise derive the command from the installed
harbor run --help using the selected dataset/path/repo, agent, model, attempts,
and environment. Set --n-concurrent only when the benchmark or user chose a
value; otherwise leave it unset and record Harbor's effective default.
Do not create slots, controllers, schedulers, or retry ledgers. Use
harbor job resume for an incomplete compatible job. For a requested
comparison, run separate Harbor jobs with the same frozen benchmark, agent,
attempts, environment, and allowed concurrency settings.
Preserve the Harbor job directory, redacted effective config, invocation, version, results, failures, logs, trajectories, and artifacts. Report exactly the attempted dataset/tasks and score denominator. Inspect artifacts for credentials and sensitive content before any upload.
Read publishing.md. A Harbor Hub job is shareable evidence, not automatic leaderboard acceptance. Claim an official result only after satisfying the benchmark's versioned checklist. Harbor evidence proves benchmark outcomes; downstream route/model/cost claims additionally require job-isolated BitRouter evidence and an explicit join.
| Read | When |
|---|---|
| agents.md | Configure or smoke Codex, Claude Code, Terminus 2, or another Harbor agent |
| aws.md | Operate BitRouter OSS or a Harbor EC2 environment on AWS, or select IAM boundaries |
| harbor.md | Discover/run/resume Harbor jobs and set attempts or concurrency |
| publishing.md | Preserve evidence, upload to Hub, submit officially, or make route claims |
© bitrouter, 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 5 other files (references) in skills/run-bitrouter-benchmark of bitrouter/bitrouter.
Open the folder on GitHubat commit d6dfc24
Run Bitrouter Benchmark 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 |
|---|---|---|---|---|---|---|
| Run Bitrouter Benchmark this skillbitrouter/bitrouter | 235 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Using Ccproxy Inspectorstarbaser/ccproxy | 350 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Caching Architecturemajiayu000/litellm-rs | 117 | — | ~2k | Automated safety check: Pass | MIT | |
| Config Architecturemajiayu000/litellm-rs | 117 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Cognee Integrations Setuptopoteretes/cognee | 32k | — | ~1k | Automated safety check: Notes | Apache-2.0 |
2FastLabs/agent-squad
Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
starbaser/ccproxy
Operates the ccproxy inspector MITM system for intercepting, inspecting, and transforming LLM API traffic.
majiayu000/litellm-rs
LiteLLM-RS response caching architecture. An agent skill from majiayu000/litellm-rs.
majiayu000/litellm-rs
LiteLLM-RS Configuration Architecture. An agent skill from majiayu000/litellm-rs.
topoteretes/cognee
Switches cognee's LLM, embedding, relational, vector and graph backends through environment variables, with the extras to install and the traps to avoid.
majiayu000/litellm-rs
LiteLLM-RS Streaming Architecture. An agent skill from majiayu000/litellm-rs.
bitrouter/bitrouter
A skill your agent uses when evaluating BitRouter route decisions or Eval Exchange subjects with task-native verifiers, human reviewers, private enterprise evaluators, agentic judges, or genuinely…
Categories
A skill your agent uses when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed…. Run Bitrouter Benchmark is an agent skill from bitrouter/bitrouter. Use when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed providers and models, or optionally operating BitRouter OSS on AWS.
Run Bitrouter Benchmark fits situations like: A user wants to run; submit a Harbor benchmark through BitRouter; including choosing a Harbor dataset and agent; confirming routed providers and models.
Run `npx skills add bitrouter/bitrouter --skill run-bitrouter-benchmark -a claude-code`. Or copy the skill folder (skills/run-bitrouter-benchmark in bitrouter/bitrouter) into .claude/skills/run-bitrouter-benchmark in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bitrouter/bitrouter --skill run-bitrouter-benchmark -a codex`. Or copy the skill folder (skills/run-bitrouter-benchmark in bitrouter/bitrouter) into .agents/skills/run-bitrouter-benchmark 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 bitrouter/bitrouter --skill run-bitrouter-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-bitrouter-benchmark, .gemini/skills/run-bitrouter-benchmark, .github/skills/run-bitrouter-benchmark and .opencode/skills/run-bitrouter-benchmark in your project.
SKILL.md names no scripts, command-line tools or credentials: Run Bitrouter Benchmark is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Run Bitrouter Benchmark is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Run Bitrouter Benchmark: Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars), Using Ccproxy Inspector (starbaser/ccproxy, 350 stars), Caching Architecture (majiayu000/litellm-rs, 117 stars) and Config Architecture (majiayu000/litellm-rs, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bitrouter (a GitHub organization) maintains it in bitrouter/bitrouter, which has 235 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 7, 2026.
Source: bitrouter/bitrouter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.