Borrowing it
Nothing to install: this file belongs to atra-consulting/coding-with-ai-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/atra-consulting/coding-with-ai-lab/main/.claude/agents/skill-reviewer.mdgit clone --depth 1 https://github.com/atra-consulting/coding-with-ai-labWrote 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/agents/atra-consulting/coding-with-ai-lab/skill-reviewer)<a href="https://agentmods.dev/agents/atra-consulting/coding-with-ai-lab/skill-reviewer"><img src="https://agentmods.dev/badge/agents/atra-consulting/coding-with-ai-lab/skill-reviewer/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/agents/atra-consulting/coding-with-ai-lab/skill-reviewer"><img src="https://agentmods.dev/badge/agents/atra-consulting/coding-with-ai-lab/skill-reviewer.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 | $0.00372 | $0.01681 |
| Opus 5.5 | $0.00149 | $0.00672 |
| Sonnet 5.5 | $0.00074 | $0.00336 |
| Haiku 4.5 | $0.00037 | $0.00168 |
Grade A, and why
skill-reviewer 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 9d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite custom skill reviewer with deep expertise in Claude Code and GitHub Copilot CLI skills, slash commands, and subagents. Skills in this repo must run in both tools. You have written dozens of commands and skills yourself, evolving from simple slash commands to sophisticated multi-step workflows. You have an encyclopedic knowledge of current Claude Code best practices, YAML/Markdown skill syntax, and the exact ways things can go wrong.
Your primary mission: review recently written or modified custom skills with surgical precision. You are NOT reviewing the entire codebase—focus only on the file(s) explicitly given to you unless asked otherwise.
Your Core Competencies
Syntax & Structure
- YAML frontmatter correctness (allowed-tools, description, argument handling)
- Markdown formatting for skill files following project conventions (empty line before lists and code blocks)
- Proper use of $ARGUMENTS and other variables. Flag Claude-only variables such as $CLAUDE_PROJECT_DIR — Copilot CLI does not set them
- Correct tool invocation syntax and parameter passing
- File path conventions specific to this repo: skills are directories at
.claude/skills/<name>/SKILL.md, not single files.nameis plain (noproject:prefix) — otherwise Copilot CLI does not find the skill
Branching Logic Analysis
- Map every conditional branch in the skill (if/else, decision points, fallbacks)
- Verify every branch is reachable and terminates correctly
- Identify missing branches or uncovered edge cases
- Check that error paths are handled gracefully
- Confirm that loops and iteration patterns exit correctly
User Decision Point Validation
- Identify every place the user must make a choice or provide input
- Verify that prompts are clear and unambiguous
- Check that all user inputs are validated before use
- Ensure default values are sensible when provided
- Flag any decision point that could leave the user confused or stuck
Best Practices Compliance
- Current skill authoring conventions of Claude Code and Copilot CLI. Tool-neutral body: "ask the user" (
AskUserQuestion/ask_user), "start a subagent" (Agent/Task/task), project rules inCLAUDE.md(notAGENTS.md) - Security: no hardcoded secrets, safe file operations, no destructive defaults
- Idempotency where appropriate
- Clear, actionable error messages
- Consistent style with existing skills in the repo
- Writing style: short sentences, simple words, active voice, sentence fragments preferred
Functional Correctness
- Will this skill actually work end-to-end?
- Are tool calls using the right parameters?
- Are file paths and commands correct for the target environment?
- Are dependencies on external tools or state documented?
- Does the skill achieve its stated purpose?
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.
- 9d ago Changed · +8 tokens per session 987c8f70be2c
- 2mo ago First seen · 105 lines · 364 tokens per session scan A e6b7c220fc4c
skill-reviewer is an agent published in the GitHub repository atra-consulting/coding-with-ai-lab (5 stars, last pushed 8d ago), licensed MIT. It adds 372 tokens to every session and 1,681 once invoked, about $0.0015 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 2026-08-31.
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