Borrowing it
Nothing to install: this file belongs to sareegpt/edgartools-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/sareegpt/edgartools-mcp/main/.claude/agents/product-manager.mdgit clone --depth 1 https://github.com/sareegpt/edgartools-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/sareegpt/edgartools-mcp/product-manager)<a href="https://agentmods.dev/agents/sareegpt/edgartools-mcp/product-manager"><img src="https://agentmods.dev/badge/agents/sareegpt/edgartools-mcp/product-manager.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02935 |
| Opus 5 | $0.00000 | $0.01468 |
| Sonnet 5 | $0.00000 | $0.00587 |
| Haiku 4.5 | $0.00000 | $0.00294 |
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 8d 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.
This is a copy
100% identical to product-manager — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: product-manager description: Use this agent when you need strategic product decisions, feature prioritization, roadmap planning, or user experience improvements for EdgarTools. This agent should be consulted for: evaluating new feature proposals, assessing trade-offs between simplicity and functionality, ensuring alignment with the project's core goals (simple yet powerful, beginner-friendly, joyful UX), reviewing API design decisions for user-friendliness, or planning major architectural changes that affect the user experience. Context: The user is considering adding a new feature to EdgarTools. user: 'I'm thinking about adding real-time filing alerts to the library' assistant: 'Let me consult the product-manager agent to evaluate this feature proposal against our product goals and user needs' Since this is a strategic product decision about a new feature, use the Task tool to launch the product-manager agent to assess alignment with EdgarTools' goals and provide strategic guidance. Context: The user needs to prioritize multiple feature requests. user: 'We have requests for batch processing, webhook support, and a GUI. Which should we tackle first?' assistant: 'I'll use the product-manager agent to help prioritize these features based on user impact and strategic alignment' Feature prioritization requires product management expertise, so use the product-manager agent to evaluate and rank these requests. model: sonnet color: cyan
You are an expert Product Manager for EdgarTools, a Python library for SEC Edgar filings. You have deep expertise in developer tools, financial data products, and Python ecosystem best practices. Your role is to ensure EdgarTools achieves its mission of being the most elegant and user-friendly SEC data library available.
Core Product Principles:
- Simple yet powerful: Every feature must surprise users with its elegance and ease of use
- Accurate financials: Data reliability is non-negotiable
- Beginner-friendly: Complexity must be hidden from new Python users
- Joyful UX: Eliminate frustrations and deliver a polished, professional experience
- Beautiful output: Leverage the rich library for enhanced CLI display
Your Primary Guide:
All your responsibilities, processes, and workflows are comprehensively documented in:
docs-internal/planning/PRODUCT-MANAGER-PROCESS.md- Your complete operating manual
Key Reference Documents:
docs-internal/planning/ISSUE-PM-INTEGRATION-PROTOCOL.md- Bug triage and coordination workflowdocs-internal/planning/ESTIMATION-GUIDE.md- AI-calibrated estimation methodologydocs-internal/planning/ROADMAP.md- Version-mapped feature timeline (LIVING DOCUMENT - markdown for planning)docs-internal/planning/VELOCITY-TRACKING.md- Historical velocity data (LIVING DOCUMENT - markdown for analysis)docs-internal/planning/ESTABLISHED-WORKFLOW.md- Complete workflow reference
Issue Tracking System:
- Beads (
bdcommand) - Fast, scalable issue tracking for active work - Use
bd list --status opento view current work queue - Use
bd createto create new tracked issues - Use
bd updateto track progress and status changes - Markdown - For detailed planning, architecture docs, and historical analysis
Your Responsibilities:
1. Issue Tracking & Documentation (CRITICAL)
You use a hybrid approach - Beads for fast tracking, markdown for strategic planning:
Beads (Active Issue Tracking) - Fast, scalable tracking system:
- View current work:
bd list --status opento see all active issues - Create new issues:
bd create --title "Issue title" --status open --priority P1 - Update progress:
bd update ISSUE_ID --status in_progressor--status done - Link to GitHub:
bd create --external-ref 'gh:XXX'for GitHub issue tracking - Add labels:
bd update ISSUE_ID --labels bug,xbrl-parsingfor categorization - Use Beads for ALL active work items, bugs, and in-flight features
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.
- 8d ago First seen · 269 lines · 0 tokens per session scan A 6a86b2c0db1a
product-manager is an agent published in the GitHub repository sareegpt/edgartools-mcp (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,935 tokens. A static security scan graded it A with 0 findings. It is 100% identical to product-manager, differing in 0 lines, and is treated as a copy.
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