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 majiang213/OpenClaw-MAS --skill skill-stocktakegit clone --depth 1 https://github.com/majiang213/OpenClaw-MASWrote 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/majiang213/openclaw-mas/skill-stocktake)<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/skill-stocktake"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/skill-stocktake/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/majiang213/openclaw-mas/skill-stocktake"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/skill-stocktake.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 | $0.00030 | $0.01910 |
| Opus 5 | $0.00015 | $0.00955 |
| Sonnet 5 | $0.00006 | $0.00382 |
| Haiku 4.5 | $0.00003 | $0.00191 |
Grade A, and why
skill-stocktake scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Enumerates other installed skillslowAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
(Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
This is a copy
97% identical to skill-stocktake — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-stocktake
Slash command (/skill-stocktake) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.
Scope
The command targets the following paths relative to the directory where it is invoked:
| Path | Description |
|---|---|
~/.claude/skills/ |
Global skills (all projects) |
{cwd}/.claude/skills/ |
Project-level skills (if the directory exists) |
At the start of Phase 1, the command explicitly lists which paths were found and scanned.
Targeting a specific project
To include project-level skills, run from that project's root directory:
cd ~/path/to/my-project
/skill-stocktake
If the project has no .claude/skills/ directory, only global skills and commands are evaluated.
Modes
| Mode | Trigger | Duration |
|---|---|---|
| Quick Scan | results.json exists (default) |
5–10 min |
| Full Stocktake | results.json absent, or /skill-stocktake full |
20–30 min |
Results cache: ~/.claude/skills/skill-stocktake/results.json
Quick Scan Flow
Re-evaluate only skills that have changed since the last run (5–10 min).
- Read
~/.claude/skills/skill-stocktake/results.json - Run:
bash ~/.claude/skills/skill-stocktake/scripts/quick-diff.sh \ ~/.claude/skills/skill-stocktake/results.json(Project dir is auto-detected from$PWD/.claude/skills; pass it explicitly only if needed) - If output is
[]: report "No changes since last run." and stop - Re-evaluate only those changed files using the same Phase 2 criteria
- Carry forward unchanged skills from previous results
- Output only the diff
- Run:
bash ~/.claude/skills/skill-stocktake/scripts/save-results.sh \ ~/.claude/skills/skill-stocktake/results.json <<< "$EVAL_RESULTS"
Full Stocktake Flow
Phase 1 — Inventory
Run: bash ~/.claude/skills/skill-stocktake/scripts/scan.sh
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 194 lines · 30 tokens per session scan A c03bfae29e91
skill-stocktake is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 1,910 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (enumerates other installed skills). It is 97% identical to skill-stocktake, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
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architecture-anti-patterns
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architecture-patterns-catalog
Reference catalog of proven architecture patterns. Know when to apply each pattern, tradeoffs, and examples. Use as reference when designing systems.
system-audit
Conduct comprehensive system architecture evaluation. Assess design quality, technical debt, operational readiness, scalability. Use when auditing existing systems.
storage-selection
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architecture-review-facilitation
Lead effective architecture reviews. Manage discussions, surface disagreements, build consensus, document decisions. Use when conducting reviews or running architecture forums.