AI-QA-workshop-feb19: Skill for Claude Code

.agents/skills/output-review/SKILL.md

output-review is a skill for Claude Code, Codex from vlad-ryzhkov/AI-QA-workshop-feb19. It costs 13 tokens per session (111 once invoked), scanned A, original, Unlicense.

A separate quality check for reviewing the result produced by another skill against its checklist.

In plain words
What is it for?
Use it after completing a skill to audit the result. It is not intended for reviewing the skill instructions themselves.
Why use it?
It provides an independent review after a task, helping catch missing or incorrect output before it is accepted.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is vlad-ryzhkov/AI-QA-workshop-feb19's own configuration. It tells Claude Code and Codex how to work on AI-QA-workshop-feb19 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AI-QA-workshop-feb19 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vlad-ryzhkov/AI-QA-workshop-feb19. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vlad-ryzhkov/AI-QA-workshop-feb19/main/.agents/skills/output-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vlad-ryzhkov/AI-QA-workshop-feb19

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 output-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-review/github.svg)](https://agentmods.dev/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-review)
Your own site
<a href="https://agentmods.dev/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-review"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-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 output-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-review"><img src="https://agentmods.dev/badge/skills/vlad-ryzhkov/ai-qa-workshop-feb19/output-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 111 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 $0.00013 $0.00111
Opus 5 $0.00006 $0.00056
Sonnet 5 $0.00003 $0.00022
Haiku 4.5 $0.00001 $0.00011

Measured 12d ago against content hash 08db0514e7fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

output-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.

.agents/skills/output-review/SKILL.md · 18 lines

What it actually says

INSTRUCTIONS

You are acting as the QA Automation Lead. Read AGENTS.md to understand the project philosophy and tech stack.

LOGIC SOURCE

Execute the full instruction set defined in: .claude/skills/output-review/SKILL.md

CRITICAL REMINDERS

  • Use after completing any skill to verify output quality.
  • Do NOT use for auditing SKILL.md files themselves — use $skill-audit for that.
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 · 18 lines · 13 tokens per session scan A 08db0514e7fa

Subscribe to this mod's changes

output-review is a skill published in the GitHub repository vlad-ryzhkov/AI-QA-workshop-feb19 (25 stars, last pushed 6mo ago), licensed Unlicense. It adds 13 tokens to every session and 111 once invoked, about $0.0001 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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