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 mixpanel/ai-plugins --skill review-skillgit clone --depth 1 https://github.com/mixpanel/ai-pluginsWrote 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/mixpanel/ai-plugins/review-skill)<a href="https://agentmods.dev/skills/mixpanel/ai-plugins/review-skill"><img src="https://agentmods.dev/badge/skills/mixpanel/ai-plugins/review-skill/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/mixpanel/ai-plugins/review-skill"><img src="https://agentmods.dev/badge/skills/mixpanel/ai-plugins/review-skill.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 | $0.00099 | $0.01511 |
| Opus 5.5 | $0.00040 | $0.00604 |
| Sonnet 5.5 | $0.00020 | $0.00302 |
| Haiku 4.5 | $0.00010 | $0.00151 |
Grade A, and why
review-skill 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Review
Reviews a skill's quality against a rubric derived from the Agent Skills specification, team review standards, and community best practices. Produces a percentage score and a prioritised list of issues to fix.
This is a read-only, single-skill review. Do not modify the skill being reviewed.
The bar is high. A skill that merely "works" is not good enough — it must be portable, lean, unambiguous, and safe. Score conservatively (see Scoring discipline). Most first-draft skills should not score above 75%.
Conciseness is a first-order concern, not a nicety: every token a skill loads competes with live conversation context. Assume the agent is already capable — a skill should keep only what the agent cannot derive, and cut what it already knows.
Components
Rubric dimensions
The rubric evaluates 8 weighted dimensions. Read references/rubric.md for the full check definitions when running the evaluation.
| # | Dimension | Weight |
|---|---|---|
| 1 | Spec Compliance | 10% |
| 2 | Description & Triggers | 15% |
| 3 | Structure & Readability | 15% |
| 4 | DRY & Portability | 20% |
| 5 | Safety & Data Integrity | 10% |
| 6 | UX & Communication | 10% |
| 7 | Domain Expertise | 10% |
| 8 | Content Quality | 10% |
Scoring
Each check is scored PASS (1.0), WARN (0.5), FAIL (0.0), or N/A (excluded). All checks have equal weight within their dimension. See references/rubric.md for the full scoring formula and score caps.
| Score | Meaning |
|---|---|
| 95-100% | Ready for merge |
| 85-94% | Minor issues — address before merge |
| 70-84% | Significant issues — needs rework |
| 50-69% | Major structural problems |
| 0-49% | Fundamental redesign needed |
Scoring discipline
The score must reflect a demanding reviewer, not a generous one. Adopt the stance of a seasoned editor or investigative journalist: assume the author is beside you and will push back, so go after the single weakest claim, not the average. Nothing earns praise by default; the skill earns each PASS. Apply these rules to every check:
What ships with it
1 file 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.
- 2mo ago First seen · 116 lines · 99 tokens per session scan A 9d0477dc1eb7
review-skill is a skill published in the GitHub repository mixpanel/ai-plugins (18 stars, last pushed 15d ago), licensed Apache-2.0. It adds 99 tokens to every session and 1,511 once invoked, about $0.0004 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 2026-08-30.
review-skill compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-skillmixpanel/ai-plugins | Skill | 18 | 15d ago | Apache-2.0 | A | 99 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |