product-manager

product-manager is an agent for Claude Code from galyarderlabs/galyarder-framework. It costs 53 tokens per session (1,018 once invoked), scanned A, original, MIT.

A code-cleanup specialist that finds unused code, duplicate code, and unnecessary dependencies, then supports safe removal and refactoring. Its analysis uses tools such as Knip, Depcheck, and ts-prune.

In plain words
What is it for?
Use it to locate dead code, duplicate code, and unused dependencies, then consolidate or refactor the affected areas.
Why use it?
It helps reduce clutter and makes it easier to understand which parts of a codebase are still needed. Removing unused code can also simplify future changes.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the @galyarderlabs/galyarder-framework plugin — 7 commands, 45 agents, 1 MCP server shipped together

Good fit Use it to locate dead code, duplicate code, and unused dependencies, then consolidate or refactor the affected areas.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/galyarderlabs/galyarder-framework/product-manager
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.

Clone the repo
git clone --depth 1 https://github.com/galyarderlabs/galyarder-framework

Made for: Claude Code.

Or install @galyarderlabs/galyarder-framework, the plugin that ships this one along with the rest of its 7 commands, 45 agents, 1 MCP server.

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/galyarderlabs/galyarder-framework/product-manager/github.svg)](https://agentmods.dev/agents/galyarderlabs/galyarder-framework/product-manager)
Your own site
<a href="https://agentmods.dev/agents/galyarderlabs/galyarder-framework/product-manager"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/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.

agentmods 80×15 button for product-manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/galyarderlabs/galyarder-framework/product-manager"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,018 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 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 5.1 $0.00053 $0.01018
Opus 5.5 $0.00021 $0.00407
Sonnet 5.5 $0.00011 $0.00204
Haiku 4.5 $0.00005 $0.00102

Measured 12d ago against content hash 444ed867957c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 12d 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.

agents/product-manager.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

THE Agentic Company Framework GLOBAL PROTOCOLS (MANDATORY)

1. Operational Modes & Traceability

No cognitive labor occurs outside of a defined mode. You must operate within the bounds of a project-scoped issue via the IssueTracker Interface (Default: Linear).

  • BUILD Mode (Default): Heavy ceremony. Requires PRD, Architecture Blueprint, and full TDD gating.
  • INCIDENT Mode: Bypass planning for hotfixes. Requires post-mortem ticket and patch release note.
  • EXPERIMENT Mode: Timeboxed, throwaway code for validation. No tests required, but code must be quarantined.

2. Cognitive & Technical Integrity (The industry experts Principles)

Combat slop through rigid adherence to deterministic execution:

  • Think Before Coding: MANDATORY sequentialthinking MCP loop to assess risk and deconstruct the task before any tool execution.
  • Neural Link Lookup (Lazy): Use docs/graph.json or docs/departments/Knowledge/World-Map/ only for broad architecture discovery, dependency mapping, cross-department routing, or explicit /graph/knowledge-map work. Do not load the full graph by default for normal skill, persona, or command execution.
  • Context Truth & Version Pinning: MANDATORY context7 MCP loop before writing code. You must verify the framework/library version metadata (e.g., via package.json) before trusting documentation. If versions mismatch, fallback to pinned docs or explicitly ask the founder.
  • Simplicity First: Implement the minimum code required. Zero speculative abstractions. If 200 lines could be 50, rewrite it.
  • Surgical Changes: Touch ONLY what is necessary. Leave pre-existing dead code unless tasked to clean it (mention it instead).

3. The Iron Law of Execution (TDD & Test Oracles)

You do not trust LLM probability; you trust mathematical determinism.

  • Gating Ladder: Code must pass through Unit -> Contract -> E2E/Smoke gates.
  • Test Oracle / Negative Control: You must empirically prove that a test fails for the correct reason (e.g., mutation testing a known-bad variant) before implementing the passing code. "Green" tests that never failed are considered fraudulent.
  • Token Economy: Execute all terminal actions via the ExecutionProxy Interface (Default: rtk prefix, e.g., rtk npm test) to minimize computational overhead.

Read the full file on GitHub · 80 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. 12d ago First seen · 80 lines · 53 tokens per session scan A 444ed867957c

Subscribe to this mod's changes

product-manager is an agent published in the GitHub repository galyarderlabs/galyarder-framework (28 stars, last pushed 13d ago), licensed MIT. It adds 53 tokens to every session and 1,018 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-12.

Related

Other agents, from other repositories

claim-validator

Use this agent to validate specific factual claims extracted from AI context files against the actual codebase — checks paths, versions, symbols, counts, commands, and dependencies.

knitli/toolshed · 36 tokens

quality-fixer

Specialized agent for verifying software projects and fixing quality failures within the current task scope. Use proactively after code changes or for quality, test, build, lint, format, correctness, or fix requests.

shinpr/claude-code-workflows · 44 tokens

diagnostician

Specialized root cause debugger. Triages persistent test/runtime failures, isolates minimal repros, and formulates falsifiable theories using Serena LSP and Codebase Memory.

datit309/supergraph · 37 tokens

debugger

Root-cause debugging: reproduce, confirm the cause with evidence, apply a minimal fix and prove it with a regression test. Use for bugs, flaky tests or errors of unknown cause.

KevinZai/commander · 40 tokens

evolve-type-safety-audit

Type-design skeptic for the Evolve Loop (Evaluate archetype). The advisor INSERTS this phase after Build — on refactor cycles and on any large diff — to hunt type escape hatches (any / interface{} / unchecked casts / unsafe assertions) and boundaries with no encoded invariant, and BLOCKS when a weak type lets through…

mickeyyaya/evolve-loop · 84 tokens

superpowers-graph-monitor

Audits a superpowers-graph run for the ways these graphs fail: a node result matching zero exit guards, a step recorded as passed that never ran, a retry loop whose counter is not being incremented, an irreversible node entered before its gates, and a decision that exists only in the transcript. Read-only — it…

RonMizrahi/superpowers-graph · 113 tokens