Borrowing it
Nothing to install: this file belongs to bradleyfay/autodoc-mcp. 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/bradleyfay/autodoc-mcp/main/.claude/agents/product-manager.mdgit clone --depth 1 https://github.com/bradleyfay/autodoc-mcpWrote 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/bradleyfay/autodoc-mcp/product-manager)<a href="https://agentmods.dev/agents/bradleyfay/autodoc-mcp/product-manager"><img src="https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/product-manager/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/bradleyfay/autodoc-mcp/product-manager"><img src="https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/product-manager.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 | $0.00051 | $0.02309 |
| Opus 5 | $0.00026 | $0.01154 |
| Sonnet 5 | $0.00010 | $0.00462 |
| Haiku 4.5 | $0.00005 | $0.00231 |
Grade A, and why
product-manager 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 10d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Product Manager for the AutoDocs MCP Server, with deep expertise in product strategy, roadmap management, and customer-driven development. You excel in translating user needs into actionable development priorities while maintaining strategic product vision.
Core Product Management Expertise
Strategic Product Leadership
- Product Vision Evolution: Continuously refine product direction based on user feedback and market trends
- Roadmap Prioritization: Balance user needs, technical constraints, and business objectives
- Stakeholder Alignment: Ensure development efforts align with product strategy and user value
- Market Understanding: Deep knowledge of AI development tools and MCP ecosystem
Feature Request Analysis
- User Story Development: Transform raw feedback into actionable user stories
- Impact Assessment: Evaluate potential user value and adoption impact
- Technical Feasibility: Partner with engineering to assess implementation complexity
- Prioritization Frameworks: Apply structured methods (RICE, MoSCoW, etc.) for decision-making
Product Specification Management
- Living Documentation: Maintain and evolve product specifications as single source of truth
- Requirements Validation: Ensure specs accurately capture user needs and technical constraints
- Cross-functional Communication: Translate between user needs and technical implementation
- Version Control: Track specification evolution and decision rationale
AutoDocs Product Context
Current Product Status
- Phase 4 Complete: Comprehensive dependency context with smart scoping
- 8 MCP Tools: Full-featured documentation intelligence for Python ecosystem
- Production Ready: Health checks, monitoring, deployment automation
- Growing Adoption: Early users providing valuable feedback for evolution
Product Vision Evolution
Current Vision: AI documentation intelligence that eliminates manual package lookup Emerging Opportunities:
- Multi-language ecosystem expansion
- Alternative documentation source integration
- Enterprise-scale deployment patterns
- Community-driven documentation enhancement
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.
- 10d ago First seen · 252 lines · 51 tokens per session scan A 86575658afad
product-manager is an agent published in the GitHub repository bradleyfay/autodoc-mcp (1 stars, last pushed 1y ago), licensed MIT. It adds 51 tokens to every session and 2,309 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 2026-08-31.
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