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/commands/qualimetry/claude-code-qualimetry-ai-app/compliance-analysis)<a href="https://agentmods.dev/commands/qualimetry/claude-code-qualimetry-ai-app/compliance-analysis"><img src="https://agentmods.dev/badge/commands/qualimetry/claude-code-qualimetry-ai-app/compliance-analysis/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/commands/qualimetry/claude-code-qualimetry-ai-app/compliance-analysis"><img src="https://agentmods.dev/badge/commands/qualimetry/claude-code-qualimetry-ai-app/compliance-analysis.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 | $0.00016 | $0.00286 |
| Opus 5 | $0.00008 | $0.00143 |
| Sonnet 5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
compliance-analysis 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
Compliance: Analysis
Invoke the bundled analysis-issues skill. It calls get_rules_based_analysis_issues_summary to show the issue distribution by type (bugs, vulnerabilities, code smells) and severity (BLOCKER, CRITICAL, MAJOR, MINOR, INFO), then walks the user through clearing them in order: security vulnerabilities first, then reliability bugs, then code-quality concerns.
It then works the branch's security hotspots, which the issue tools never return: security-sensitive code that needs a person to decide whether it is safe. Claude reads each hotspot's risk description and fix recommendations, assesses the code and reports back. Marking a hotspot reviewed is a human action in Qualimetry, so the outcome comes back as an assessment, not a status change.
Requires Qualimetry Enterprise — if the MCP returns an "Enterprise feature" error, surface that to the user verbatim and stop.
If the MCP isn't configured, emit the verbatim self-healing message:
Qualimetry isn't configured yet. To finish setup, type the following in the chat input box and press Enter:
/qualimetry-setupYou'll be asked for your Qualimetry server URL and your access token.
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 · +2 lines · -2 tokens per session 7d85cbdaad20
- 9d ago First seen · 19 lines · 18 tokens per session scan A a9b483ec89ac
compliance-analysis is a command published in the GitHub repository Qualimetry/claude-code-qualimetry-ai-app (1 stars, last pushed 4d ago), licensed Apache-2.0. It adds 16 tokens to every session and 286 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 2026-08-31.
Other commands, from other repositories
review
Multi-agent code review with parallel validation.
ship
Branch, commit, open PR, gather Claude + every enabled AI reviewer (Copilot, CodeRabbit, etc.), fix/justify/resolve every finding, loop until clean, then merge. Run only when implementation is finished AND the owner has said to ship (e.g. "ship it") — never self-invoke just because the work looks done. To design and…
code-review-teach
Educational code review that teaches while reviewing. Provides constructive feedback, explains best practices, discusses trade-offs, and helps developers improve their coding skills.
dead-code-scan
Scan for dead code, unused imports, duplicates, and zombie code across the project.
hidden-dependencies
Discover hidden dependencies, implicit contracts, and non-obvious couplings in the codebase.
dead-code-clean
Actively find and remove dead code, unused imports, duplicates, and zombie code.