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 jaktestowac/awesome-copilot-for-testers --skill prd-generatorgit clone --depth 1 https://github.com/jaktestowac/awesome-copilot-for-testersWrote 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/jaktestowac/awesome-copilot-for-testers/prd-generator)<a href="https://agentmods.dev/skills/jaktestowac/awesome-copilot-for-testers/prd-generator"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/prd-generator/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/jaktestowac/awesome-copilot-for-testers/prd-generator"><img src="https://agentmods.dev/badge/skills/jaktestowac/awesome-copilot-for-testers/prd-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01072 |
| Opus 5.5 | $0.00028 | $0.00429 |
| Sonnet 5.5 | $0.00014 | $0.00214 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
prd-generator 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 1mo 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Requirements Document (PRD) Generator
This skill produces high-quality, professional PRDs that serve as a single source of truth for product, design, engineering, QA, and leadership teams.
The PRD balances business goals, user needs, and technical execution, and supports both traditional software systems and AI-driven products.
Adapted from the prd skill in github/awesome-copilot (MIT).
What This Skill Does
When invoked, this skill:
- Elicits missing context through structured discovery
- Translates ambiguous ideas into clear, actionable requirements
- Produces a complete, testable, and measurable PRD
- Makes assumptions and risks explicit
- Adapts depth and rigor to product maturity and risk
- Treats the PRD as a living, versioned artifact
When to Use
Use this skill when the user wants to:
- "Write a PRD", "define requirements", or "plan a feature"
- Turn a vague idea into an implementation-ready specification
- Align multiple stakeholders before development
- Document requirements for AI / ML-enabled systems
- Create a reference document that evolves with the product
Operational Workflow
A PRD must never be generated immediately from a single prompt. Reduce uncertainty and align expectations first.
Phase 0: PRD Strategy Selection
Before discovery, classify the PRD to adapt structure and rigor:
- Product Stage: MVP / Growth / Scale
- Risk Level: Low / Medium / High
- AI Criticality: None / Supporting / Core
- Primary Audience: Engineering / Product / Exec / External
The chosen strategy determines depth, level of detail, and validation rigor.
Phase 1: Discovery - Structured Elicitation
Ask clarifying questions before drafting, using a structured approach (Who / What / Why / When / How):
- Problem & Context - what problem are we solving, and why now?
- Users & Value - who are the primary users, and what outcome do they care about?
- Success & Measurement - how will success be measured; what does "good" look like?
- Constraints - deadlines, budget, tech stack, compliance?
- Stakeholders - who needs alignment or approval?
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.
- 1mo ago First seen · 126 lines · 70 tokens per session scan A 9c675c51f239
prd-generator is a skill published in the GitHub repository jaktestowac/awesome-copilot-for-testers (118 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 1,072 once invoked, about $0.0003 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 2026-08-30.
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