Agent skill

Run Bitrouter Benchmark

by bitrouter in bitrouter/bitrouter

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…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Run Bitrouter Benchmark

skills CLI
$ npx skills add bitrouter/bitrouter --skill run-bitrouter-benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bitrouter/bitrouter run-bitrouter-benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
run-bitrouter-benchmark
GitHub stars
235
Token cost
~2.2k tokens
SKILL.md length
1,159 words
Files
6 (incl. references)
Skills in repo
2
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 6 steps: Identify the run → Inspect before asking again → Confirm one resolved plan → …
  • A user wants to run
  • SKILL.md covers Core rule, 1. Identify the run, 2. Inspect before asking again and 3. Confirm one resolved plan, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • A user wants to run
  • Submit a Harbor benchmark through BitRouter
  • Including choosing a Harbor dataset and agent
  • Confirming routed providers and models

Example prompts

  • “/run-bitrouter-benchmark”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Identify the run
  2. Inspect before asking again
  3. Confirm one resolved plan
  4. Prepare the route
  5. Run Harbor
  6. Report or publish

What it can do on your machine

Read from SKILL.md and the folder at commit d6dfc24. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from bitrouter/bitrouter at commit d6dfc24, republished under its Apache-2.0 licence (© bitrouter). 1,159 words, ~2,248 tokens.

Download SKILL.mdSave it as .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.
name
run-bitrouter-benchmark
description
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

Core rule

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.

1. Identify the run

Before discovery, ask for every missing choice together in one short message and stop. Do not infer an unspecified choice from local state:

  1. Harbor dataset with version, local path, repository, or job config.
  2. Agent: Codex, Claude Code, Terminus 2, or another installed Harbor agent.
  3. Routing config: matching official OSS template (default), existing user config, or a new custom config.
  4. Endpoint: existing/managed BitRouter, or BitRouter OSS to operate on AWS.
  5. Intent: private score, routing comparison, or official publication.

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.

2. Inspect before asking again

Inspect without external mutation:

  • how Harbor is launched (PATH command, absolute executable, environment launcher, or container), then its version, run help, agents, environments, and the selected dataset or benchmark-owned job config;
  • how BitRouter is accessed and managed: endpoint, executable or service / container identity, config path or mount, and source/release provenance;
  • current benchmark run and submission rules;
  • BitRouter endpoint provenance and health metadata where available;
  • selected config source and every provider/model/fallback reachable from its entry route, plus broader exposure from inherited defaults or credentials;
  • AWS profile or assume-role name only if BitRouter AWS deployment or a Harbor AWS/EC2 environment was selected.

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:

  • Official unchanged — exact template.
  • Official-derived deployment patch — only listen/auth/database/path changes; preserve and review the diff.
  • Derived from official — provider, model, fallback, preset, tier, or policy changed; preserve the diff.
  • Custom — user-owned or built from scratch.

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.

3. Confirm one resolved plan

Present one compact plan containing:

  • benchmark identity/revision and official-submission status;
  • Harbor agent, environment, attempts, benchmark-owned settings, and explicit concurrency or the effective Harbor default;
  • endpoint provenance and config classification/ref/path;
  • Harbor model string, BitRouter entry preset/model, every reachable downstream provider/model/fallback, and credential source names (never values), plus any broader inherited catalog or credential exposure as a separate disclosure;
  • bounded agent-specific smoke payload, maximum requests, expected cost, the whole benchmark's provider-spend estimate or ceiling, and retained artifacts;
  • installs, service/config/secret-store changes, plus AWS account/principal, region, resources, cost, and—when Harbor uses EC2—the resolved controller-to- sandbox address/SSH path, bootstrap egress, proposed temporary rule specifications and stopping condition, and cleanup only when applicable;
  • output path and upload destination, visibility, and data sensitivity.

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.

Show full SKILL.md (408 more words)Show less

4. Prepare the route

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.

5. Run Harbor

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.

6. Report or publish

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.

Hard boundaries

  • Do not treat discovered providers, models, credentials, or AWS profiles as authorization.
  • Do not silently substitute a template, agent, model, fallback, benchmark setting, or concurrency value.
  • Do not put raw secrets in chat, command arguments, persistent configs, or uploadable artifacts when documented secret injection is available.
  • Do not override an official job config unless its rules allow the change.
  • Stop when benchmark policy forbids the routed endpoint. Run a private adaptation only when policy permits it and the user confirms the deviation.
  • Do not call an upload an official submission or infer per-route economics from an aggregate Harbor score.

References

ReadWhen
agents.mdConfigure or smoke Codex, Claude Code, Terminus 2, or another Harbor agent
aws.mdOperate BitRouter OSS or a Harbor EC2 environment on AWS, or select IAM boundaries
harbor.mdDiscover/run/resume Harbor jobs and set attempts or concurrency
publishing.mdPreserve 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

Files

SKILL.md and 5 other files (references) in skills/run-bitrouter-benchmark of bitrouter/bitrouter.

  • SKILL.md
  • agents/openai.yaml
  • references/agents.md
  • references/aws.md
  • references/harbor.md
  • references/publishing.md

Open the folder on GitHubat commit d6dfc24

Compare with similar skills

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.

Run Bitrouter Benchmark compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Run Bitrouter Benchmark this skillbitrouter/bitrouter235—~2.2kAutomated safety check: PassApache-2.0
Agent Squad Python Guide2FastLabs/agent-squad7.8k—~4.7kAutomated safety check: PassApache-2.0
Using Ccproxy Inspectorstarbaser/ccproxy350—~2.7kAutomated safety check: PassCustom licence
Caching Architecturemajiayu000/litellm-rs117—~2kAutomated safety check: PassMIT
Config Architecturemajiayu000/litellm-rs117—~3.2kAutomated safety check: PassMIT
Cognee Integrations Setuptopoteretes/cognee32k—~1kAutomated safety check: NotesApache-2.0

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Questions about Run Bitrouter Benchmark

What does Run Bitrouter Benchmark do?

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.

When should I use Run Bitrouter Benchmark?

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.

How do I install Run Bitrouter Benchmark in Claude Code?

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.

How do I install Run Bitrouter Benchmark in Codex?

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.

Can I use Run Bitrouter Benchmark in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Run Bitrouter Benchmark need to run?

SKILL.md names no scripts, command-line tools or credentials: Run Bitrouter Benchmark is instructions for the agent only.

Does Run Bitrouter Benchmark access the network?

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.

Is Run Bitrouter Benchmark safe to install?

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.

What licence does Run Bitrouter Benchmark use?

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.

How many tokens does Run Bitrouter Benchmark use?

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.

What are the alternatives to Run Bitrouter Benchmark?

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.

Who maintains Run Bitrouter Benchmark?

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.