pm-skills AGENTS.md

pm-skills AGENTS.md is an instructions file for Codex, OpenCode from exiao/pm-skills. It costs 845 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for pm-skills, a collection of product and research skills for AI coding agents, organized into stages such as strategy, user research, planning, design, testing, and launch.

In plain words
What is it for?
Use them when adding or maintaining product and research skills, their documentation, scripts, references, and supporting assets.
Why use it?
They explain where each skill belongs and what files every skill directory should contain, making the repository easier to extend consistently.

Instructions file for CodexOpenCode

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 instructions/exiao/pm-skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/exiao/pm-skills

Made for: Codex, OpenCode.

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 pm-skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/exiao/pm-skills/agents-md.svg)](https://agentmods.dev/instructions/exiao/pm-skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/exiao/pm-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/exiao/pm-skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 845 This file is loaded in full into every session.
When invoked 845 The same file — it is already loaded in full.
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 $0.00845 $0.00845
Opus 5 $0.00423 $0.00423
Sonnet 5 $0.00169 $0.00169
Haiku 4.5 $0.00085 $0.00085

Measured 5d ago against content hash d0f7026e06a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm-skills 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.

AGENTS.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pm-skills Repo Conventions

A public repo of product/R&D skills for Claude Code, Hermes Agent, Codex, and other skill-aware agents. Every directory at root is a stage of the R&D process (except .github/ and scripts/), and each stage contains related skills.

Repo Structure

stage-name/
├── DESCRIPTION.md            # Stage description (with name + description frontmatter)
└── skill-name/
    ├── SKILL.md              # Entry point (required)
    ├── references/           # Detailed docs, checklists, examples
    ├── scripts/              # Deterministic code (Python, JS, bash)
    └── assets/               # Templates, images, static resources

Stages (the R&D pipeline)

Stage What's inside
strategy Diagnose the real obstacle and size up the field: strategy-kernel, competitive-analysis
uxr Understand the user: synthetic-userstudies, journey-mapping
pm Spec and justify: pitch-creator, architecture-diagram
design Make it good: design-review, design-iteration
qa Prove it works: verify-feature, dogfood, adversarial-ux-test
launch Ship and price: launch-strategy, pricing-strategy
thinking Cross-cutting reasoning used at every stage: quick-brainstorm, another-perspective

Skill Conventions

  • SKILL.md must have YAML frontmatter with name and description.
  • description is a routing instruction for the model, not a human summary. Include trigger phrases.
  • Keep SKILL.md under 500 lines. Move details to references/.
  • No README.md, CHANGELOG.md, or human-facing docs inside skill directories.

Frontmatter Format

---
name: my-skill
description: What this skill does and when to invoke it. Include trigger phrases.
---

Only name and description are required.

Writing Good Descriptions

The description field is the primary routing signal. When a user says "help me with X," the agent picks a skill based on description match.

Read the full file on GitHub · 77 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. 5d ago First seen · 77 lines · 845 tokens per session scan A d0f7026e06a1

Subscribe to this mod's changes

pm-skills AGENTS.md is an instructions file published in the GitHub repository exiao/pm-skills (9 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 845 tokens to every session, about $0.0042 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 2026-08-31.

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