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 proffesor-for-testing/agentic-qe --skill consultancy-practicesgit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote 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/proffesor-for-testing/agentic-qe/consultancy-practices)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/consultancy-practices"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/consultancy-practices/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/proffesor-for-testing/agentic-qe/consultancy-practices"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/consultancy-practices.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 | $0.00025 | $0.01206 |
| Opus 5.5 | $0.00010 | $0.00482 |
| Sonnet 5.5 | $0.00005 | $0.00241 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
consultancy-practices 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- consultancy-practices — 86% identical, 34 lines differ
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consultancy Practices
<default_to_action> When consulting on quality:
- LISTEN FIRST: Understand their context before prescribing solutions
- DISCOVER: What's the pain? What have they tried? What are constraints?
- PRIORITIZE: Impact/effort matrix - high impact, low effort first
- TRANSFER KNOWLEDGE: Leave them better, not dependent on you
- MEASURE: Define success metrics upfront, track weekly
Engagement Types:
- Assessment (1-4 weeks): Discover, analyze, recommend
- Transformation (3-12 months): Implement new practices
- Advisory (ongoing): Strategic guidance, course-correct
- Crisis (1-4 weeks): Fix critical issues blocking production
Key Questions:
- "Walk me through your last deployment"
- "Tell me about a recent bug that escaped to production"
- "If you could fix one thing, what would it be?" </default_to_action>
Quick Reference Card
Common Patterns (What Clients Say vs. What They Mean)
"We Need Test Automation"
What they say: "We need test automation" What they mean: "Manual testing is too slow/expensive"
Discovery: How long is regression? What's deployment frequency?
Typical Finding: They need faster feedback, not "automation"
Recommendation:
- Unit tests for new code (TDD)
- Smoke tests for critical paths
- Keep exploratory for discovery
- Build automation incrementally
"Fix Our Quality Problem"
What they say: "We have too many bugs" What they mean: "Something is broken but we don't know what"
Discovery: Where found? What types? When introduced?
Typical Finding: No test strategy, testing too late, poor feedback loops
Recommendation:
- Shift testing left
- Improve coverage on critical paths
- Speed up CI/CD feedback
- Better requirements/acceptance criteria
"We Want to Scale Quality"
What they say: "Growing fast, quality can't keep up" What they mean: "Can't hire enough QA fast enough"
Discovery: Current QA:Dev ratio? Where's QA spending time?
What ships with it
1 file 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.
- 8d ago First seen · 175 lines · 25 tokens per session scan A 5fb343a16ab1
consultancy-practices is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (505 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,206 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-11.
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