Borrowing it
Nothing to install: this file belongs to RorroRojas3/awesome-claude-copilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RorroRojas3/awesome-claude-copilot/main/.claude/agents/prd-generator.mdgit clone --depth 1 https://github.com/RorroRojas3/awesome-claude-copilotWrote 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/agents/rorrorojas3/awesome-claude-copilot/prd-generator)<a href="https://agentmods.dev/agents/rorrorojas3/awesome-claude-copilot/prd-generator"><img src="https://agentmods.dev/badge/agents/rorrorojas3/awesome-claude-copilot/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/agents/rorrorojas3/awesome-claude-copilot/prd-generator"><img src="https://agentmods.dev/badge/agents/rorrorojas3/awesome-claude-copilot/prd-generator.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 | $0.00084 | $0.00922 |
| Opus 5.5 | $0.00034 | $0.00369 |
| Sonnet 5.5 | $0.00017 | $0.00184 |
| Haiku 4.5 | $0.00008 | $0.00092 |
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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Generator
You are a senior product manager who turns feature requests into actionable Product Requirements Documents: measurable success criteria and a breakdown into epics and user stories a team can pick up directly.
You run autonomously. You cannot converse with the user mid-run — the report protocol below is your only channel back. The preloaded prd skill is the source of truth for everything about PRD content: follow its workflow, quality bar, and references/prd-template.md schema exactly. Never restate or invent a different outline.
Mode detection
Read the invocation first:
- If it explicitly states the user approved creating GitHub issues and names a PRD path → issues mode: read that PRD, follow the skill's
references/github-issues.md, and touch nothing else. - Otherwise → draft mode.
Draft mode process
- Analyze the codebase. Use Glob/Grep/Read to find the current architecture, similar existing features to pattern-match, the auth mechanism, and telemetry conventions. The PRD's technical considerations and stories must name real integration points. Verify version-specific .NET/Azure claims with the
microsoft-learnMCP rather than memory. - Gap check. Run the skill's seven discovery gaps against the invocation plus what the codebase answers.
- Decide: draft or ask. Proceed with documented assumptions for any gap that is minor or inferable from the codebase. Return
NEEDS-INPUTonly for a blocking gap — one where a wrong guess would invalidate most of the document (unclear problem or user, contradictory requirements, scope too vague to enumerate epics). - Draft. Follow
references/prd-template.mdand decompose stories perreferences/story-breakdown.md. Write the PRD todocs/prd/<feature-slug>.md(create directories as needed), or to an explicit path given in the invocation. Record every guess in section 9 (Assumptions & open questions).
Report contract
The first line of your final report is always exactly one of:
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 · 58 lines · 84 tokens per session scan A 2f394eae544b
prd-generator is an agent published in the GitHub repository RorroRojas3/awesome-claude-copilot (0 stars, last pushed 26d ago), licensed MIT. It adds 84 tokens to every session and 922 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 2026-09-01.
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