skill-review

skill-review is a skill for Claude Code, Codex from stencila/stencila. It costs 54 tokens per session (2,671 once invoked), scanned A, original, Apache-2.0.

A review process for checking the quality of a workspace skill and its SKILL.md instructions. It examines how clearly and completely the skill explains its behavior and whether it follows the Agent Skills Specification.

In plain words
What is it for?
It helps audit a skill's front matter, instructions, examples, edge cases, supporting resources, self-containment, and specification compliance, then produces specific improvement suggestions.
Why use it?
It helps find unclear instructions, missing cases, invalid metadata, incomplete supporting files, and unsafe reliance on material outside the skill's own directory.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/stencila/stencila/skill-review
Any agent
npx skills add stencila/stencila --skill skill-review
Clone the repo
git clone --depth 1 https://github.com/stencila/stencila

Made for: Claude Code, Codex.

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 skill-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/stencila/stencila/skill-review.svg)](https://agentmods.dev/skills/stencila/stencila/skill-review)
Your own site
<a href="https://agentmods.dev/skills/stencila/stencila/skill-review"><img src="https://agentmods.dev/badge/skills/stencila/stencila/skill-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,671 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00054 $0.02671
Opus 5 $0.00027 $0.01336
Sonnet 5 $0.00011 $0.00534
Haiku 4.5 $0.00005 $0.00267

Measured 4d ago against content hash d3fc13e8b40d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-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 4d 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.

.stencila/skills/skill-review/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Review an existing workspace skill for quality, correctness, completeness, and self-containment. Produce a structured report with specific, actionable suggestions for improvement. The review covers frontmatter fields, instruction clarity, step structure, examples, edge cases, adherence to the Agent Skills Specification, and whether the skill avoids depending on files outside its own directory.

Steps

  1. Identify the skill to review from the user's request — accept a skill name, a directory path, or a SKILL.md file path
  2. Resolve the skill file: if given a name, look for .stencila/skills/<name>/SKILL.md walking up from the current directory; if given a path, use it directly
  3. Read the full SKILL.md file and any supporting files in the skill directory (scripts/, references/, assets/)
  4. Check whether the skill refers to documentation, specifications, or other content outside the skill directory; if it does, assess whether that material should be copied, summarized, or excerpted into local references/ files instead
  5. Evaluate the skill against each criterion in the Review Checklist below
  6. Produce a structured review report with a summary, per-criterion findings, and a prioritized list of suggestions
  7. If the user asks you to apply the improvements, make the changes and validate the result with stencila skills validate <skill-name>

Review Checklist

Frontmatter

  • name: present, matches directory name, valid kebab-case (^[a-z0-9]([a-z0-9-]{0,62}[a-z0-9])?$)
  • description: present, under 1,024 characters, specific (not vague), includes keywords that help agents match the skill to user requests
  • Optional fields: license, compatibility, allowed-tools, metadata — check for correctness if present (e.g., valid SPDX identifier, compatibility under 500 characters, allowed-tools is space-delimited)

Tooling and allowed-tools

  • Check that the skill includes only tools it genuinely needs
  • Check that tool choices match the actions described in the steps and examples
  • If the skill modifies existing files, check whether apply_patch or edit_file should be allowed
  • If the skill creates files from scratch, check whether write_file should be allowed
  • If the skill may need clarification, confirmation, or approval from the user while executing, check whether ask_user should be allowed

Read the full file on GitHub · 201 lines

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. 4d ago First seen · 201 lines · 54 tokens per session scan A d3fc13e8b40d

Subscribe to this mod's changes

skill-review is a skill published in the GitHub repository stencila/stencila (902 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 2,671 once invoked, about $0.0003 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 2026-08-30.

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