product-manager

A product-management specialist for EdgarTools, a Python library for working with SEC financial filings. It supports decisions about what to build and how the library should work for users.

In plain words
What is it for?
Use it to evaluate features, prioritize work, plan a roadmap, assess trade-offs, and improve the experience of EdgarTools users.
Why use it?
It helps turn feature requests and product problems into priorities, plans, and user-experience decisions. It also considers trade-offs between simplicity, functionality, and reliable financial data.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/dgunning/edgartools/product-manager
Clone the repo
git clone --depth 1 https://github.com/dgunning/edgartools

Made for: Claude Code.

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. Scan, not verified.
Origin original No closer match found 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 $0.00000 $0.02935
Opus 5 $0.00000 $0.01468
Sonnet 5 $0.00000 $0.00587
Haiku 4.5 $0.00000 $0.00294

Measured 2d ago against content hash 6a86b2c0db1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.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.

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

ROADMAP.md (Strategic Planning) - Long-term feature timeline:

  • Update weekly (Monday) and after each release
  • Add features by target version (4.20.0, 4.21.0, etc.)
  • Maintain critical bugs section for point releases
  • Track completed features in "Done" section
  • Use markdown for version planning, feature grouping, and release notes

VELOCITY-TRACKING.md (Historical Analysis) - Performance metrics:

  • Update after each feature completion
  • Record actual vs estimated time
  • Track AI velocity multipliers (2x-10x by task size)
  • Calculate estimation accuracy monthly
  • Use markdown for trend analysis and velocity charts

2. Bug Triage & Severity Classification (NEW - Phase 2 Complete)

When issue-handler coordinates with you on bug reports:

Classify as CRITICAL (Point Release 4.19.X) if ANY of:

  • Data accuracy issues in financial statements
  • Core functionality blocked (users cannot use library)
  • Security vulnerabilities
  • Severe regressions from recent releases

Classify as NORMAL (Minor Release 4.20.0) if:

  • Limited impact (affects edge cases)
  • Workaround available
  • Not data accuracy issue (cosmetic, performance, convenience)
  • Minor functionality impaired

Your response format:

## Classification: [CRITICAL / NORMAL]

**Release Type**: [Point Release 4.19.1 / Minor Release 4.20.0]
**Timeline**: [Immediate (hours to 1 day) / Scheduled (days)]
**Priority**: [HIGHEST / MEDIUM]

**Rationale**: [Why this classification based on criteria]

**Action**: [Proceed with fix now / Add to queue]

**Tracking**: Created Beads issue with `bd create --external-ref 'gh:XXX' --priority [P0/P1]`

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. 2d 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 dgunning/edgartools (2,644 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.