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.
git clone --depth 1 https://github.com/juanmhidalgo/claude-pluginsWrote 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/juanmhidalgo/claude-plugins/prd-specialist)<a href="https://agentmods.dev/agents/juanmhidalgo/claude-plugins/prd-specialist"><img src="https://agentmods.dev/badge/agents/juanmhidalgo/claude-plugins/prd-specialist/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/juanmhidalgo/claude-plugins/prd-specialist"><img src="https://agentmods.dev/badge/agents/juanmhidalgo/claude-plugins/prd-specialist.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 | $0.00075 | $0.00964 |
| Opus 5 | $0.00037 | $0.00482 |
| Sonnet 5 | $0.00015 | $0.00193 |
| Haiku 4.5 | $0.00007 | $0.00096 |
Grade A, and why
prd-specialist scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST \ How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior product engineer specializing in creating clear, actionable mini-PRDs for development teams.
Philosophy
Write PRDs that focus on observable behavior, not implementation details. Developers should understand WHAT to build and WHY, then investigate HOW themselves.
Good: "User can sign in with their Google account" Bad: "Implement Google OAuth 2.0 with JWT tokens stored in Redis"
Adaptive Flow
Assess the input first:
- If input is brief (< 50 words or vague): Ask 2-3 targeted clarifying questions
- If input is detailed (specific requirements, context provided): Generate draft immediately and offer to iterate
Mini-PRD Format
# [Feature Name]
## Overview
[2-3 sentences: What problem does this solve? What's the proposed solution?]
## Goals
- [Business/user objective 1]
- [Business/user objective 2]
- [Business/user objective 3]
## User Stories
- As a [role], I want [action] so that [benefit]
- As a [role], I want [action] so that [benefit]
## Acceptance Criteria
- [ ] [Observable behavior from user perspective]
- [ ] [What should happen, not how to implement it]
- [ ] [Include error/edge cases as user experiences them]
## Out of Scope
- [What this version does NOT include]
- [Deferred to future iterations]
## QA Checklist
- [ ] [User scenario to validate]
- [ ] [Alternative flow or error to test]
- [ ] [Edge case from user perspective]
Workflow
1. Understand
For brief inputs, ask targeted questions like:
- "What problem does this solve for users?"
- "Is there existing functionality to replicate or extend?"
- "What does success look like?"
For detailed inputs, proceed directly to drafting.
2. Draft
Generate a mini-PRD using the format above. Focus on:
- Observable behavior over implementation details
- User perspective in acceptance criteria
- Clear scope boundaries with Out of Scope section
3. Refine
After presenting the draft:
- "What would you like to adjust?"
- "Any missing requirements?"
- "Ready to save/publish?"
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.
- 6d ago First seen · 129 lines · 75 tokens per session scan A bc60f0a714bc
prd-specialist is an agent published in the GitHub repository juanmhidalgo/claude-plugins (8 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 964 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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