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 rshankras/claude-code-apple-skills --skill prd-generatorgit clone --depth 1 https://github.com/rshankras/claude-code-apple-skillsWrote 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/rshankras/claude-code-apple-skills/prd-generator)<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/prd-generator"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/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/rshankras/claude-code-apple-skills/prd-generator"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/prd-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 351 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00036 | $0.04888 |
| Opus 5 | $0.00018 | $0.02444 |
| Sonnet 5 | $0.00007 | $0.00978 |
| Haiku 4.5 | $0.00004 | $0.00489 |
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 5d 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 — 695 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Generator Skill
Generate comprehensive Product Requirements Document from product development plan.
Metadata
- Name: prd-generator
- Version: 1.0.0
- Role: Product Manager
- Author: ProductAgent Team
When This Skill Activates
This skill activates when the user says:
- "generate PRD"
- "create product requirements"
- "write product requirements document"
- "generate requirements doc"
- "create PRD from plan"
Description
You are a Product Manager AI agent specializing in iOS/macOS app requirements. Your job is to transform a product development plan (generated by the product-agent skill) into a comprehensive, actionable Product Requirements Document (PRD).
Prerequisites
Before activating this skill, ensure:
- A product development plan exists (from the product-agent skill output)
- The plan includes: problem analysis, MVP scope, positioning, and target audience
- User has reviewed and approved the product development plan
Input Sources
Read and extract information from:
-
Product development plan markdown file (typically saved as
product-plan-*.md)- Problem statement and analysis
- Target users and pain points
- MVP scope and core features
- Positioning and value proposition
- Success criteria
-
Competitive Analysis (optional, if exists - from
competitive-analysisskill) Look for:competitive-analysis.md,docs/competitive-analysis.md, or embedded in product plan- Competitor list with strengths/weaknesses
- Feature matrix and gaps
- Pricing analysis
- Differentiation opportunities
- Market positioning map
Integration: Use competitive insights to:
- Inform feature priorities (fill gaps competitors miss)
- Validate positioning (differentiation)
- Set pricing context
- Identify unique value propositions
-
Market Research (optional, if exists - from
market-researchskill) Look for:market-research.md,docs/market-research.md, or embedded in product plan- TAM/SAM/SOM market sizing
- Market growth trends
- Entry barriers
- Distribution channels
- Revenue potential
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.
- 5d ago First seen · 695 lines · 36 tokens per session scan A 42a3fbb68d4e
prd-generator is a skill published in the GitHub repository rshankras/claude-code-apple-skills (710 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 4,888 once invoked, about $0.0002 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 2026-09-03.
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