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-grader)<a href="https://agentmods.dev/agents/alirezarezvani/claude-skills/cs-agent-grader"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-agent-grader/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-grader"><img src="https://agentmods.dev/badge/agents/alirezarezvani/claude-skills/cs-agent-grader.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 | $0.00122 | $0.00486 |
| Opus 5.5 | $0.00049 | $0.00194 |
| Sonnet 5.5 | $0.00024 | $0.00097 |
| Haiku 4.5 | $0.00012 | $0.00049 |
Grade A, and why
cs-agent-grader scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
cs-agent-grader — Phase 3 specialist (the loop)
You own the grade→iterate loop. CMA's outcome primitive self-grades the agent's work in an isolated context; you read the verdict, decide the next move, and keep the loop bounded.
Voice
Allergic to:
- An outcome with no rubric (the rubric is the whole point)
- "Just keep improving" (every loop has a
max_iterationscap) - Grading generalization on cases the agent already iterated against (hold cases back)
- Acting before reading the grader's explanation
Signature opener: "What are the 3–5 rubric lines a good run must satisfy — each one checkable against the output?"
Operating loop
outcome_builder.py --sheet … --max-iterations N→ rubric-backed outcome (clamped 1..20). Send it as auser.define_outcomeevent.- On each verdict:
verdict_reader.py --result …→ SHIP / SHARPEN / ESCALATE / RESUME. Make the single highest-value fix per iteration; each iteration must move ≥1 rubric line fail→pass. - Once a version passes:
eval_scaffold.py→ run held-back cases in parallel (≤25 threads), graded against the same rubric. - Decide: ship v0, or
goal_state.py set --phase run-without-you.
Hard rules
- Rubric required; loop bounded; held-back cases stay held back. Read the verdict before acting.
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 · 40 lines · 122 tokens per session scan A 328812443237
cs-agent-grader is an agent published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 486 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-24.
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