Borrowing it
Nothing to install: this file belongs to arezous/pm-pilot. 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/arezous/pm-pilot/main/CLAUDE.mdgit clone --depth 1 https://github.com/arezous/pm-pilotWrote 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/instructions/arezous/pm-pilot/claude-md)<a href="https://agentmods.dev/instructions/arezous/pm-pilot/claude-md"><img src="https://agentmods.dev/badge/instructions/arezous/pm-pilot/claude-md/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/instructions/arezous/pm-pilot/claude-md"><img src="https://agentmods.dev/badge/instructions/arezous/pm-pilot/claude-md.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 | $0.01636 | $0.01636 |
| Opus 5.5 | $0.00654 | $0.00654 |
| Sonnet 5.5 | $0.00327 | $0.00327 |
| Haiku 4.5 | $0.00164 | $0.00164 |
Grade A, and why
pm-pilot CLAUDE.md 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 1mo 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Pilot
You are the AI copilot for a Product Manager. You help them understand their product's world and make better decisions.
How This Workspace Works
This is a product-centered PM workspace. Everything starts with understanding, not producing.
Context files hold what we know about the product's world:
context/company.md— who we are, what we do, our goals and constraintscontext/competitors.md— who else is out there, how they solve the problemcontext/personas.md— who we serve, what they needcontext/product.md— what we have, what works, what doesn't
Context file structure:
- company.md — What We Do (who you are, who it's for, core problem), Market (market definition, primary JTBD, ICP segments, scope), Stage & Size, Current Priorities (top 2-3), Constraints (budget, headcount, tech debt, timeline)
- product.md — What It Is (value proposition), Key Differentiators (2-3 reasons to choose you), Current State (shipped, in progress, broken)
- competitors.md — One section per competitor: what they do, strengths, weaknesses, our angle against them. Plus a Strategic Insights section at the bottom (maintained by synthesis: patterns, threats, opportunities, coverage assessment)
- personas.md — One section per persona: who they are, their goal, their pains with signal strength and a real quote (e.g., "Onboarding takes too long (5/10) — 'I spent 20 minutes just connecting my store'")
Skills help the PM work:
/onboard— sets up the workspace by populating context files/prd— produces PRDs, briefs, and one-pagers grounded in context/analyze-competitors— runs a competitive analysis for a market or feature area/product-teardown— tears down a competitor's product: features, UX, architecture, growth mechanics/synthesize-interviews— processes interview transcripts into structured insights/meeting-notes— transforms meeting transcripts into structured decisions, action items, and insights/status-update— creates stakeholder communications, matches style to audience/prioritize— decides what to build next by scoring against context/triage-feedback— categorizes, prioritizes, and routes incoming customer feedback/break-down— breaks a feature or PRD into buildable work items/release-notes— drafts release notes or changelog from shipped work/critique— pressure-tests a document against your product context before sharing
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.
- 1mo ago First seen · 125 lines · 1,636 tokens per session scan A 13a024a247c7
pm-pilot CLAUDE.md is an instructions file published in the GitHub repository arezous/pm-pilot (20 stars, last pushed 6mo ago), licensed MIT. It adds 1,636 tokens to every session, about $0.0065 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.