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mean-qa

mean-qa is a skill for Claude Code, Codex from CassioRoos/godfly-skills. It costs 137 tokens per session (1,937 once invoked), scanned A, original, MIT.

An adversarial quality-assurance guide for finding defects that normal, happy-path testing can miss. It records what was tested and leaves behind cases that others can run again.

In plain words
What is it for?
Use it to test features, plans, browser flows, staging changes, or verification work and report findings with reusable test cases.
Why use it?
It reduces the chance of declaring a change safe because only the expected path worked, while keeping evidence of the checks performed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

not rated 1repo changed yesterday A scan 137 tokens original MIT

Good fit Use it to test features, plans, browser flows, staging changes, or verification work and report findings with reusable test cases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cassioroos/godfly-skills/mean-qa
View source ↗ CassioRoos/godfly-skills
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 CassioRoos/godfly-skills --skill mean-qa
Clone the repo
git clone --depth 1 https://github.com/CassioRoos/godfly-skills

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 mean-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/cassioroos/godfly-skills/mean-qa/github.svg)](https://agentmods.dev/skills/cassioroos/godfly-skills/mean-qa)
Your own site
<a href="https://agentmods.dev/skills/cassioroos/godfly-skills/mean-qa"><img src="https://agentmods.dev/badge/skills/cassioroos/godfly-skills/mean-qa/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 mean-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/cassioroos/godfly-skills/mean-qa"><img src="https://agentmods.dev/badge/skills/cassioroos/godfly-skills/mean-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,937 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 $0.00137 $0.01937
Opus 5.5 $0.00055 $0.00775
Sonnet 5.5 $0.00027 $0.00387
Haiku 4.5 $0.00014 $0.00194

Measured yesterday against content hash dfb353b90e19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mean-qa 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 yesterday.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/acceptance.sh, scripts/pr-body.py, scripts/start-proof.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/mean-qa/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MeanQA

MeanQA has two jobs.

  1. Find the gaps a senior QA finds: in the development (what the change forgot) and in the running system (what breaks under attack).
  2. Prove what happens and how, with evidence a reviewer can re-run, on the pull request and on disk.

Evidence is the deliverable. A claim with no captured artifact is not reported as a result.

The flow

Do the steps in this order. Each step names its reference file. Read the four references before the first case; they are short.

  1. Start the proof. Create the run directory and PROOF.md before any probe:

    sh <skill-dir>/scripts/start-proof.sh <project-root> <slug> <environment> <head-sha>

    The project root is the root of the app or service under test (its package.json, go.mod, pyproject.toml or .git). A path the user names wins. The script prints the PROOF.md path. Read it back.

  2. Pin the target. Name the PR or commit, the head SHA, the environment and the build that serves it. Prove the running build is that SHA. See capture.md.

  3. Review the change for gaps. Read the diff, the ticket and its acceptance criteria. Map each criterion to a case. List the gaps. See gaps.md.

  4. Design the cases. Work the four questions, then the cheap probes, ranked by blast radius. See attack.md.

  5. Run and capture. One case at a time. After each case, write its row, its evidence block and its cases/<id>/ files, then start the next case. See capture.md.

  6. Publish. Close the verdict. Put the report in the PR body, with overflow in numbered comments. Read the PR back. See publish.md.

A planning-only request stops after step 4. Its verdict is DESIGNED — NOT RUN, and every case says not run.

The four questions

Ask these before the happy path. They find what nothing else finds.

  1. What does each dependency return when it cannot answer, and what does the code do with that value? A call with no error return yields "", false, 0 or an empty list. A gate that looks for a match then finds none and lets everything through. "Nothing found" and "could not check" must never be the same value.
  2. What is the harm in both directions? Wrongful action and wrongful denial are both harm.
  3. What must always be true, and what sequence breaks it? Value conserved, one intent one effect, legal transitions only, actors touch only what they own.
  4. What is irreversible? A charge, a sent message, a disclosure, a deletion. These get the harshest cases.

Read the full file on GitHub · 102 lines

Files

What ships with it

7 files 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. yesterday Changed · -16 lines · +75 tokens per session dfb353b90e19
  2. 1mo ago Changed · -163 lines · -16 tokens per session 1f479129eb4b
  3. 2mo ago Changed · -3 lines 0b2e2196a232
  4. 2mo ago First seen · 284 lines · 78 tokens per session scan A e7d3d293e3e1

Subscribe to this mod's changes

mean-qa is a skill published in the GitHub repository CassioRoos/godfly-skills (1 stars, last pushed yesterday), licensed MIT. It adds 137 tokens to every session and 1,937 once invoked, about $0.0005 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.

Browser automationClaude CodeCode reviewMarketing and SEOTestingadversarial-reviewagent-skillsclaude-skillscodex-cli
Related

mean-qa compared with skills from other repositories

mean-qa next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mean-qaCassioRoos/godfly-skillsSkill1yesterdayMITA137Claude Code, Codex
auto-test-codehuangwb8/skillsSkill506d agoMITA56Claude Code, Codex
git-pr-reviewhuangwb8/skillsSkill506d agoMITA76Claude Code, Codex
challenge-resolveBorda/AI-RigSkill31yesterdayApache-2.0A74Claude Code, Codex
code-reviewBorda/AI-RigSkill31yesterdayApache-2.0A41Claude Code, Codex
assessBorda/AI-RigSkill31yesterdayApache-2.0A19Claude Code, Codex
code-remediateBorda/AI-RigSkill31yesterdayApache-2.0A39Claude Code, Codex