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.
npx agentmods add instructions/mshadmanrahman/pm-pilot/agents-mdgit clone --depth 1 https://github.com/mshadmanrahman/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/mshadmanrahman/pm-pilot/agents-md)<a href="https://agentmods.dev/instructions/mshadmanrahman/pm-pilot/agents-md"><img src="https://agentmods.dev/badge/instructions/mshadmanrahman/pm-pilot/agents-md.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 | $0.00495 | $0.00495 |
| Opus 5 | $0.00247 | $0.00247 |
| Sonnet 5 | $0.00099 | $0.00099 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
pm-pilot AGENTS.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 5d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Pilot
Product management toolkit. Designed for PMs who code. Works in Claude Code, Cursor, and Codex.
Skill Loading
Load skills on demand by trigger, not at session start. Categories:
- PM Core: meeting-prep, weekly-status, deep-context, market-sizing, ask-company, dogfood, lenny-podcast, prd, prioritize
- Productivity: session-init, handoff-doc, strategic-compact, orchestrator, manifest-reader, meta-observer
- Dev: tdd-workflow, verification-loop, search-first, security-review
- Content: market-research, writing-style, writing-substack
Session Protocol
- Start: Memory is auto-loaded. Say what you're working on. If resuming: read latest handoff.
- During: Save corrections to memory. Use handoff-doc for mid-task context capture.
- End: Create handoff if work is in-progress. Save reusable learnings to memory.
Context Files
If these files exist, skills should read them before producing output:
context/company.md- Company info, goals, constraintscontext/product.md- Product state, value prop, differentiatorscontext/competitors.md- Competitive landscapecontext/personas.md- Target user profiles
After producing output, offer to update relevant context files with new knowledge.
Evidence Tagging
All output documents must tag uncertain claims:
[Assumption]- Inferred, not confirmed by user[Needs data]- Requires validation with real metrics[Source: X]- Derived from a specific source[Open question]- Needs stakeholder input
Agent Dispatch
| Need | Agent |
|---|---|
| Plan a feature | planner |
| Review code | code-reviewer |
| Fix build errors | build-error-resolver |
| Write tests first | tdd-guide |
| Analyze large files | file-analyzer |
Principles
- Simplicity first. No over-engineering.
- Immutable data patterns. No mutation.
- TDD for all new code. 80%+ coverage.
- Research before coding. Check existing solutions first.
- Memory compounds. Every session should leave the system smarter.
- Context grows through use. Skills read and write back to context files.
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.
- 5d ago First seen · 49 lines · 495 tokens per session scan A 4e0f1e191512
pm-pilot AGENTS.md is an instructions file published in the GitHub repository mshadmanrahman/pm-pilot (19 stars, last pushed today), licensed MIT. It adds 495 tokens to every session, about $0.0025 per session on Opus 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
toolkit-ai CLAUDE.md
Claude Code instructions for barleviatias/toolkit-ai, covering claude.md, what this repo is, quick start, or run directly from repo and headless commands.
toolkit-ai AGENTS.md
AGENTS.md instructions for barleviatias/toolkit-ai, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
gmgn-skills CLAUDE.md
Claude Code instructions for GMGNAI/gmgn-skills, covering claude.md, critical rule — read this first, project overview, available skills and quick decision guide.
core copilot-instructions.md
Copilot instructions for asdecided/core: These decisions are already accepted. Do not re-open or contradict them; ask the AsDecided MCP tools (getartifact, searchartifacts) for the full text before proposing a change that touches one.
zebbern-kali-mcp CLAUDE.md
Claude Code instructions for zebbern/zebbern-kali-mcp, covering claude.md, two release tracks, and they are not the same, the local backend image goes stale silently, targeting the host from inside the container and releasing.
Atomic-Spec AGENTS.md
Instructions for Chappygo-OS/Atomic-Spec, covering agents.md — adding a new ai agent to atomic spec, about atomic spec and the atomicspec cli, general practices, adding new agent support and current supported agents.