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 petrkindlmann/qa-skills --skill testing-in-productiongit clone --depth 1 https://github.com/petrkindlmann/qa-skillsWrote 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/petrkindlmann/qa-skills/testing-in-production)<a href="https://agentmods.dev/skills/petrkindlmann/qa-skills/testing-in-production"><img src="https://agentmods.dev/badge/skills/petrkindlmann/qa-skills/testing-in-production/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/petrkindlmann/qa-skills/testing-in-production"><img src="https://agentmods.dev/badge/skills/petrkindlmann/qa-skills/testing-in-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 298 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00125 | $0.04610 |
| Opus 5 | $0.00063 | $0.02305 |
| Sonnet 5 | $0.00025 | $0.00922 |
| Haiku 4.5 | $0.00013 | $0.00461 |
Grade A, and why
testing-in-production 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 12d 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Route
| Situation | Go to |
|---|---|
| Shipping a feature behind a flag | Feature Flag Testing |
| Ramping traffic 1% → 100% with gates | Progressive Rollout + references/rollout-policy.md |
| Need post-deploy checks on every release | Production Smoke Tests + references/patterns.md |
| Deciding what numbers gate the rollout | Guardrail Metrics |
| New code path with no user-visible change yet | Dark Launches |
| Proving the rollback actually works | Verification |
Discovery Questions
Check .agents/qa-project-context.md first. If it exists, use it as context and skip questions already answered there.
Feature flag system:
- Do you have a feature flag platform? (LaunchDarkly, Statsig — now part of OpenAI, GrowthBook, Unleash, Flagsmith, Harness FME — formerly Split, custom, none)
- How are flags managed? (Dashboard, config file, environment variables)
- Can flags target specific users, percentages, or segments?
- How many active flags exist today? Is there a cleanup process?
Rollout capability:
- Can you deploy to a subset of traffic? (Canary infrastructure, weighted routing, feature flags)
- How long does a deployment take? How long does a rollback take?
- Do you have blue-green or rolling deployments?
- Can you route traffic by region, user cohort, or percentage?
Monitoring maturity:
- What observability is in place? (APM, logging, error tracking, metrics)
- Do you have dashboards for error rate, latency, and business metrics?
- Are alerts configured with appropriate thresholds?
- Can you compare metrics between canary and baseline in real time?
What ships with it
2 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.
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.
- 12d ago First seen · 327 lines · 125 tokens per session scan A e173cf70cbdd
testing-in-production is a skill published in the GitHub repository petrkindlmann/qa-skills (120 stars, last pushed 3mo ago), licensed MIT. It adds 125 tokens to every session and 4,610 once invoked, about $0.0006 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 2026-08-30.
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