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.
git clone --depth 1 https://github.com/Qualimetry/claude-code-qualimetry-ai-appWrote 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/plugins/qualimetry/claude-code-qualimetry-ai-app/qualimetry-ai-app)<a href="https://agentmods.dev/plugins/qualimetry/claude-code-qualimetry-ai-app/qualimetry-ai-app"><img src="https://agentmods.dev/badge/plugins/qualimetry/claude-code-qualimetry-ai-app/qualimetry-ai-app/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/plugins/qualimetry/claude-code-qualimetry-ai-app/qualimetry-ai-app"><img src="https://agentmods.dev/badge/plugins/qualimetry/claude-code-qualimetry-ai-app/qualimetry-ai-app.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
qualimetry-ai-app 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.
What it actually says
{
"name": "qualimetry-ai-app",
"version": "1.3.0",
"description": "Enforces Qualimetry coding standards, principles, policies, and surfaces AI review + rules-based analysis findings.",
"author": {
"name": "Qualimetry",
"email": "[email protected]"
},
"homepage": "https://qualimetry.ai",
"repository": "https://github.com/Qualimetry/claude-code-qualimetry-ai-app",
"license": "Apache-2.0",
"keywords": ["qualimetry", "code-review", "compliance", "mcp"]
}
What it installs
The manifest is a name and a version. 5 skills, 6 commands, 1 agent, 1 hook travel with it, and installing the plugin installs all of them — 597 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill analysis-issues A 63 tokens
- Skill dependency-check A 99 tokens
- Skill review-check A 85 tokens
- Skill blitzy-rules A 96 tokens
- Skill coding-standards A 87 tokens
- Command qualimetry-setup A 17 tokens
- Command compliance-analysis A 16 tokens
- Command compliance-deps A 18 tokens
- Command compliance-check A 16 tokens
- Command compliance-fix A 17 tokens
- Command compliance-pull A 18 tokens
- Agent compliance-reviewer A 65 tokens
- Hook PostToolUse A not measured
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.
- 4d ago Changed 45e6800e8d38
- 9d ago First seen · 14 lines scan A 9371af3ab580
qualimetry-ai-app is a plugin published in the GitHub repository Qualimetry/claude-code-qualimetry-ai-app (1 stars, last pushed 5d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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