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.
npx skills add AndreVianna/aid-methodology --skill aid-test-data-qualitygit clone --depth 1 https://github.com/AndreVianna/aid-methodologyWrote 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/skills/andrevianna/aid-methodology/aid-test-data-quality)<a href="https://agentmods.dev/skills/andrevianna/aid-methodology/aid-test-data-quality"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-test-data-quality/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/skills/andrevianna/aid-methodology/aid-test-data-quality"><img src="https://agentmods.dev/badge/skills/andrevianna/aid-methodology/aid-test-data-quality.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 | $0.00072 | $0.00325 |
| Opus 5 | $0.00036 | $0.00162 |
| Sonnet 5 | $0.00014 | $0.00065 |
| Haiku 4.5 | $0.00007 | $0.00032 |
Grade A, and why
aid-test-data-quality 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 8d 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
Test Data Quality (data-quality kind-sibling of /aid-test)
/aid-test-data-quality is a thin kind-sibling of /aid-test
(.claude/skills/aid-test/SKILL.md) -- not an alias: its own catalog row
(alias_of: null, {verb: test, artifact: data-quality}), repurpose: true
(hand-authored). It carries no logic of its own.
Execute .claude/skills/aid-test/SKILL.md exactly as written, with the verification
kind bound to data-quality (capture the dataset/pipeline, which checks -- schema /
freshness / completeness / uniqueness -- and the pass/fail threshold per check). Report
per-check pass/fail with thresholds. Substitute only the invocation name
(/aid-test-data-quality) in any printed usage example. Findings route to /aid-fix.
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.
- 8d ago First seen · 24 lines · 72 tokens per session scan A a191220308b4
aid-test-data-quality is a skill published in the GitHub repository AndreVianna/aid-methodology (5 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 325 once invoked, about $0.0004 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 2026-09-03.
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