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/skills/prd/SKILL.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/skills/rorrorojas3/awesome-claude-copilot/prd)<a href="https://agentmods.dev/skills/rorrorojas3/awesome-claude-copilot/prd"><img src="https://agentmods.dev/badge/skills/rorrorojas3/awesome-claude-copilot/prd/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/rorrorojas3/awesome-claude-copilot/prd"><img src="https://agentmods.dev/badge/skills/rorrorojas3/awesome-claude-copilot/prd.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 | $0.00063 | $0.00916 |
| Opus 5 | $0.00032 | $0.00458 |
| Sonnet 5 | $0.00013 | $0.00183 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
prd 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 7d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Requirements Document (PRD)
Overview
Produce production-grade PRDs that bridge business vision and technical execution: a clear problem statement, measurable success criteria, and a feature broken down into epics and user stories a team can actually pick up.
When to use
- Starting a new product or feature development cycle
- Translating a vague idea into a concrete, testable specification
- Breaking a feature into epics and user stories with acceptance criteria
- Building a backlog or creating GitHub issues from requirements
- Stakeholders need a unified "source of truth" for project scope
Not for implementation plans. A PRD says what to build and why. How to build it — file-level steps, architecture choices, task sequencing — belongs to the planning flow (plan mode, Planner Expert), which should reference the PRD's story IDs.
Workflow
1. Discover
Identify what you don't know before writing anything. The seven gaps that matter:
- Problem & why now — what pain, and what makes it urgent?
- Users — who is this for; which roles or personas?
- Scope boundary — what is explicitly in and out?
- Success metrics — how will anyone know it worked?
- Constraints — stack, budget, deadline, compliance?
- Auth model — are there protected resources; who can do what?
- Existing code touchpoints — what does this integrate with or replace?
Close the gaps per your operating mode: an interactive session asks the user directly (3–5 questions, bulleted, conversational); an autonomous agent returns the questions to its caller or proceeds and records each guess in the PRD's Assumptions & open questions section. Never silently invent an answer.
2. Analyze
Ground the PRD in the real codebase before drafting. Find the current architecture, similar existing features, the auth mechanism, and telemetry conventions — the Technical considerations and Epics & user stories sections must name real integration points, not hypothetical ones.
What ships with it
3 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.
- 7d ago First seen · 79 lines · 63 tokens per session scan A 35f75e04c551
prd is a skill published in the GitHub repository RorroRojas3/awesome-claude-copilot (0 stars, last pushed 12d ago), licensed MIT. It adds 63 tokens to every session and 916 once invoked, about $0.0003 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 2026-09-01.
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