edgartools-mcp: Agent for Claude Code

.claude/agents/product-manager.md

product-manager is an agent for Claude Code from sareegpt/edgartools-mcp. It costs 0 tokens per session (2,935 once invoked), scanned A, a copy of product-manager, MIT.

An expert agent for making product decisions about EdgarTools, a project for working with U.S. Securities and Exchange Commission filings. It evaluates proposed features, priorities, trade-offs, and user experience against the project's goals.

In plain words
What is it for?
Use it to assess feature proposals, rank requests, plan a roadmap, review user-facing API choices, and evaluate changes that affect product direction.
Why use it?
It helps teams decide which ideas are worth pursuing and how urgent they are. It also highlights effects on simplicity, beginner-friendliness, and the experience of using the project.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is sareegpt/edgartools-mcp's own configuration. It tells Claude Code how to work on edgartools-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything edgartools-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/sareegpt/edgartools-mcp/main/.claude/agents/product-manager.md
Clone the repo
git clone --depth 1 https://github.com/sareegpt/edgartools-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for product-manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/sareegpt/edgartools-mcp/product-manager.svg)](https://agentmods.dev/agents/sareegpt/edgartools-mcp/product-manager)
Your own site
<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>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,935 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash 6a86b2c0db1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

Origin

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.

.claude/agents/product-manager.md · 269 lines

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 workflow
  • docs-internal/planning/ESTIMATION-GUIDE.md - AI-calibrated estimation methodology
  • docs-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 (bd command) - Fast, scalable issue tracking for active work
  • Use bd list --status open to view current work queue
  • Use bd create to create new tracked issues
  • Use bd update to 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 open to see all active issues
  • Create new issues: bd create --title "Issue title" --status open --priority P1
  • Update progress: bd update ISSUE_ID --status in_progress or --status done
  • Link to GitHub: bd create --external-ref 'gh:XXX' for GitHub issue tracking
  • Add labels: bd update ISSUE_ID --labels bug,xbrl-parsing for categorization
  • Use Beads for ALL active work items, bugs, and in-flight features

Read the full file on GitHub · 269 lines

Changes

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.

  1. 8d ago First seen · 269 lines · 0 tokens per session scan A 6a86b2c0db1a

Subscribe to this mod's changes

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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