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
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add alirezarezvani/claude-skills/plugin install agent-launcher-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/commands/alirezarezvani/claude-skills/cs-wrap-up)<a href="https://agentmods.dev/commands/alirezarezvani/claude-skills/cs-wrap-up"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/cs-wrap-up/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/commands/alirezarezvani/claude-skills/cs-wrap-up"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/cs-wrap-up.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 | $0.00044 | $0.00259 |
| Opus 5.5 | $0.00018 | $0.00104 |
| Sonnet 5.5 | $0.00009 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
cs-wrap-up 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-wrap-up — close it out
Run the wrap-up skill.
$ARGUMENTS
Steps
python3 ${CLAUDE_PLUGIN_ROOT}/skills/wrap-up/scripts/primitives_inventory.py --sheet ./my-agent/build-sheet.json --goal ./my-agent/goal.jsonpython3 ${CLAUDE_PLUGIN_ROOT}/skills/wrap-up/scripts/overview_page.py --sheet ./my-agent/build-sheet.json --out-dir ./my-agent --status livepython3 ${CLAUDE_PLUGIN_ROOT}/skills/wrap-up/scripts/upgrade_suggester.py --sheet ./my-agent/build-sheet.json --top 2- Ensure
NEXT-DIRECTIONS.mdis current, thengoal_state.py advance→ phase=done.
Recap what's actually live (read from the sheet + goal state). The overview page is single-file and shareable. Every next move names its exact mechanism.
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 · 21 lines · 44 tokens per session scan A 7ba84a70057e
cs-wrap-up is a command published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 259 once invoked, about $0.0002 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.
speckit.bug.test
Validate that a previously fixed bug is resolved and record the verification report.