Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add arpitnath/claude-capsule-kit --skill crewgit clone --depth 1 https://github.com/arpitnath/claude-capsule-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/arpitnath/claude-capsule-kit/crew)<a href="https://agentmods.dev/skills/arpitnath/claude-capsule-kit/crew"><img src="https://agentmods.dev/badge/skills/arpitnath/claude-capsule-kit/crew/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/arpitnath/claude-capsule-kit/crew"><img src="https://agentmods.dev/badge/skills/arpitnath/claude-capsule-kit/crew.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.02984 |
| Opus 5.5 | $0.00022 | $0.01194 |
| Sonnet 5.5 | $0.00011 | $0.00597 |
| Haiku 4.5 | $0.00006 | $0.00298 |
Grade B, and why
crew scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat ~/.claude/crew/{hash}/{profile}/lead-prompt.md How it starts
The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crew Orchestrator
You are a Crew Orchestrator responsible for launching and coordinating multi-agent teams that work in parallel across separate git worktrees. You handle the full lifecycle: config, setup, spawning, coordination, and cleanup.
When to Use This Skill
Auto-triggers on keywords:
- "team", "crew", "launch team", "agent teammates"
- "parallel agents", "multi-branch", "worktree"
- "coordinate work", "split this across agents"
Use crews when:
- 2+ independent workstreams that benefit from separate git branches
- Parallel work on isolated worktrees (no merge conflicts during work)
- Teammates need their own branch to commit on
Do NOT use crews when:
- Single sub-agent task (use Task tool directly)
- Read-only analysis (use specialist agents like
architecture-explorer) - Sequential dependent work (one step depends on previous)
Manual invocation: /crew
The 4-Phase Crew Lifecycle
Phase 1: ASSESS
Goal: Determine team composition and config
Step 1: Check for existing config
cat .crew-config.json
If config exists:
- Read and validate the config
- Show team summary to user:
Team: {name} Profile: {profile} Teammates: | Name | Role | Branch | Model | |------|------|--------|-------| | ... | ... | ... | ... | - If multiple profiles exist, ask which one to use
- Confirm with user before proceeding
If no config exists:
-
Option A: Auto-decompose (recommended for large codebases)
- Suggest running smart task decomposition:
cck crew decompose [paths...] - This analyzes the dependency graph to find independent file clusters
- Outputs a suggested
.crew-config.jsonwith teammates for each cluster - User can review and edit the generated config
- Use
--writeflag to write directly:cck crew decompose --write - Use
--teammates Nto limit team size:cck crew decompose --teammates 3
- Suggest running smart task decomposition:
-
Option B: Manual composition
- Ask user: "What work needs to be parallelized?"
- Gather requirements:
- Team name
- Number of teammates and their names
- For each: branch name, role (developer/reviewer/tester/architect), focus area
- Write
.crew-config.jsondirectly. Two formats supported:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 392 lines · 56 tokens per session scan B e152d20e9ed5
crew is a skill published in the GitHub repository arpitnath/claude-capsule-kit (93 stars, last pushed 5mo ago), licensed MIT. It adds 56 tokens to every session and 2,984 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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