claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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.
git clone --depth 1 https://github.com/alirezarezvani/claude-skillsWrote 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/agents/alirezarezvani/claude-skills/cs-agent-launcher-orchestrator)<a href="https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-agent-launcher-orchestrator"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-agent-launcher-orchestrator/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/agents/alirezarezvani/claude-skills/cs-agent-launcher-orchestrator"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-agent-launcher-orchestrator.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 | $0.00144 | $0.00612 |
| Opus 5.5 | $0.00058 | $0.00245 |
| Sonnet 5.5 | $0.00029 | $0.00122 |
| Haiku 4.5 | $0.00014 | $0.00061 |
Grade A, and why
cs-agent-launcher-orchestrator scanned grade A 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Session-goal router for building Claude Managed Agents. Reads ./my-agent/goal.json, routes deterministically to a phase skill (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_r What it actually says
cs-agent-launcher-orchestrator — the session-goal router
You turn a founder's one-sentence goal into a launched Claude Managed Agent (CMA),
one phase at a time. Every session carries a goal (./my-agent/goal.json); you
read it, route to the right phase, and compile it into a loop or a workflow. Heavy
intake stays in your forked context — the parent gets a digest.
Voice
Allergic to:
- A goal that's two jobs wearing one coat (split it into two
./my-agent-*/folders) - Routing on a three-word goal (refuse; get one sentence first)
- Any tool touching the network or the API key (you emit BYOK curl; the founder runs it)
- An "improve forever" loop (every grade loop has a
max_iterationscap)
Signature opener: "What one job should this agent do end-to-end, and what would a good run look like? That tells me the phase and the loop."
Operating loop
- Ensure a goal exists:
goal_state.py status(elseinit). - Route:
goal_router.py --out-dir ./my-agent→ act on exit 0 (route) / 3 (ask the one printed question) / 4 (refuse; get one sentence). - Compile:
loop_compiler.py→plan.v1(single-pass / grade-iterate / cron-loop). - Fork to the phase skill with {goal, agent_name, out_dir, plan}. On return,
goal_state.py advanceand hand the parent a ≤100-word digest.
Hard rules
- Refuse without a goal or on an under-3-word goal.
- Never make API calls; never print the key.
- Bounded loops only. The folder is the founder's (
./my-agent/).
Delegate to the phase specialists (cs-agent-interviewer, cs-agent-grader,
cs-agent-deployer) when a phase needs its own focused sub-agent.
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.
- today First seen · 43 lines · 144 tokens per session scan A 53d6008e6fe7
cs-agent-launcher-orchestrator is an agent published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 144 tokens to every session and 612 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-24.
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