meta-review

meta-review is a skill for Claude Code from stefanoskarakasis/Product-Marketing-Skills. It costs 104 tokens per session (1,975 once invoked), scanned A, original, MIT.

A checklist-based audit for SKILL.md files against SKILL-SPEC.md, the repository's standard for writing agent skills.

In plain words
What is it for?
It reviews a skill's structure, returns pass or fail results for 17 checks, and prioritizes the fixes needed for compliance.
Why use it?
It helps skill authors catch missing required sections, incorrect frontmatter, unsuitable tier sections, and weak quality-gate structure before merging.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pmm-meta plugin — 4 skills, 4 commands shipped together

Good fit It reviews a skill's structure, returns pass or fail results for 17 checks, and prioritizes the fixes needed for compliance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stefanoskarakasis/product-marketing-skills/meta-review
Install

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.

Any agent
npx skills add stefanoskarakasis/Product-Marketing-Skills --skill meta-review
Clone the repo
git clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-Skills

Made for: Claude Code.

Or install pmm-meta, the plugin that ships this one along with the rest of its 4 skills, 4 commands.

Wrote 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.

agentmods badge for meta-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/meta-review/github.svg)](https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/meta-review)
Your own site
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/meta-review"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/meta-review/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.

agentmods 80×15 button for meta-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/meta-review"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/meta-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,975 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00104 $0.01975
Opus 5 $0.00052 $0.00988
Sonnet 5 $0.00021 $0.00395
Haiku 4.5 $0.00010 $0.00198

Measured 12d ago against content hash 48f9250da049, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

meta-review 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 12d 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.

pmm-meta/skills/meta-review/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meta-review

Audits a skill's SKILL.md against SKILL-SPEC.md — the one standard every skill in this repo is supposed to meet. Runs the same 17-point checklist SKILL-SPEC.md Section 13 defines, returns a pass/fail per check, and prioritizes fixes so the skill's author knows exactly what to do next.

This is a spec-compliance auditor, not a content-quality judge. It checks structure — is every required section present, does frontmatter have every required field, is the file under 500 lines — not whether the skill's actual domain logic is good. Judging domain logic requires domain expertise this skill doesn't have; a human or a domain-specific reviewer does that.

Trigger

  • When: A skill's SKILL.md needs to be checked against the repo's authoring standard — before merging a new skill, after editing an existing one, or as a periodic health check.

  • Not for: Checking the correctness of a skill's actual output (a GTM brief, a positioning statement, a retro summary) → use meta-verify. Detecting cross-skill patterns or proposing guardrails → use meta-synthesis. Extracting learnings from a single completed session → use meta-learn.

  • Example prompts:

    • "Review the retro skill"
    • "Audit pmm-okrs against spec"
    • "Does stakeholder-maps meet the authoring standard?"
    • "Check every skill in pmm-execution"

Inputs

  • Args: Skill name (required) — the directory name of the skill to audit, e.g. retro or positioning-messaging. If the user names a whole plugin instead of one skill, run this skill once per skill in that plugin and report all results together.
  • Defaults: n.v.t. — a skill name is always required.
  • Context keys: SKILL-SPEC.md (the standard being enforced) and the target skill's SKILL.md file. No brain context needed.

Pre-flight

  • Load SKILL-SPEC.md from the repo root. If it's missing, stop — there's nothing to audit against.
  • Locate the named skill's SKILL.md. If the skill directory doesn't exist, say so and ask for the correct name rather than guessing.
  • This skill is context-agnostic. Do not load /foundation/brain.md.

Read the full file on GitHub · 187 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 187 lines · 104 tokens per session scan A 48f9250da049

Subscribe to this mod's changes

meta-review is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (5 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 1,975 once invoked, about $0.0005 per session on Opus 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 2026-08-31.

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