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 agentmods add skills/fmind/dot/quality-assurancenpx skills add fmind/dot --skill quality-assurancegit clone --depth 1 https://github.com/fmind/dotWrote 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/fmind/dot/quality-assurance)<a href="https://agentmods.dev/skills/fmind/dot/quality-assurance"><img src="https://agentmods.dev/badge/skills/fmind/dot/quality-assurance.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.01122 |
| Opus 5 | $0.00024 | $0.00561 |
| Sonnet 5 | $0.00010 | $0.00224 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
quality-assurance 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Assurance
Test the risks that matter with real behavior and report what stays unproved; test-driven-development owns implementation, diff-review owns one change, and production-readiness owns the launch gate.
Workflow
- Resolve the candidate: Record the requirement or spec, base and head or working-tree identity, environment, versions, and existing proof.
- Build the risk matrix: Start from requirements, changed behavior, user journeys, and known failure modes; rank by impact, likelihood, detectability, reversibility, and change exposure, and cover the highest risk first.
- Choose the lightest layer: Unit tests for logic, property or fuzz tests for wide input spaces, contract tests for interfaces, integration tests for owned boundaries, end-to-end tests for critical journeys.
- Prepare controlled state: Create isolated data with explicit setup and teardown; confirm the test cannot mutate user or external state beyond the authorized scope.
- Run changed behavior first: Exercise the success path, unhappy paths, boundaries, permissions, cancellation, retries, concurrency, and recovery the requirements promise.
- Test real presentation: Prefer direct HTTP or API evidence; use a browser only for rendering, interaction, session state, or accessibility, driving it with playwright through roles and labels and verifying state after every action.
- Test non-functional risk: Measure latency, load, resource use, resilience, security boundaries, and observability only where the matrix or spec requires; set the baseline and threshold first with benchmark.
- Run regression proof: Execute the relevant package or subsystem suite before the full gate.
- Gate the candidate: Run the full gate (
mise run all); if the tree carries unrelated changes and the gate write-formats, run it in a temporarygit worktreeor fall back tomise run checkandmise run test(see mise). - Retest fixes narrowly: Reproduce the original failure, verify the fix, then rerun impacted journeys and the gate; avoid open-ended visual polishing loops.
- Report the matrix: Record per case the risk and requirement, layer and environment, preconditions, steps or command, expected result, actual evidence, status (pass, fail, blocked, or not run), and cleanup with residual risk.
- Summarize: Lead with blockers, then failures, passes, and untested boundaries with the authority or capability needed to test them; report the highest proven rung of the proof ladder.
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.
- 2d ago First seen · 42 lines · 48 tokens per session scan A d5bc4796195a
quality-assurance is a skill published in the GitHub repository fmind/dot (4 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 1,122 once invoked, about $0.0002 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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