Borrowing it
Nothing to install: this file belongs to assimovt/productskills. 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/assimovt/productskills/main/CLAUDE.mdgit clone --depth 1 https://github.com/assimovt/productskillsWrote 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/assimovt/productskills/claude-md)<a href="https://agentmods.dev/instructions/assimovt/productskills/claude-md"><img src="https://agentmods.dev/badge/instructions/assimovt/productskills/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/assimovt/productskills/claude-md"><img src="https://agentmods.dev/badge/instructions/assimovt/productskills/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 | $0.00936 | $0.00936 |
| Opus 5 | $0.00468 | $0.00468 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
productskills 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 10d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ProductSkills
Open-source AI agent skills for product teams. 16 skills built on real frameworks (Mom Test, Shape Up, Obviously Awesome, Teresa Torres, Linear Method, YC).
What This Repo Is
A collection of SKILL.md files that teach AI agents (Claude Code, Cursor, Codex, Devin) how to do product management work — discovery, strategy, prioritization, scoping, and PRD writing. Every skill is 50-150 lines, opinionated, and framework-driven.
Architecture
skills/[skill-name]/SKILL.md # The skill (50-150 lines, YAML frontmatter)
skills/[skill-name]/references/*.md # Optional deep-dive templates (loaded on demand)
Skills use Anthropic's SKILL.md standard:
- YAML frontmatter with
nameanddescriptiononly - Body: framework + ALWAYS/NEVER/CRITICAL rules
- No role-setting ("You are an expert..."), no output format sections
Skill Design Rules
- 50-150 lines per SKILL.md. Context window is shared with user's code. No bloat.
- Opinionated. ALWAYS/NEVER/CRITICAL rules. "DO X" not "consider doing X."
- Framework-driven. Every skill is grounded in a real methodology (Teresa Torres, Shape Up, Mom Test, April Dunford, etc.). Never make up frameworks.
- Startup-calibrated. Assumes teams of 3-50. No SAFe, no RACI, no velocity theater.
- Examples > explanations. One concrete example beats three paragraphs of theory.
- No fluff files. No README, CHANGELOG, or docs per skill folder.
SKILL.md Format
---
name: skill-name
description: >
One paragraph (~50 words). Must contain trigger phrases for when to use
this skill. This is always loaded in context; body only loads when triggered.
---
Body pattern (adapt per skill):
[Opening line: what + philosophy, 1-2 sentences]
## [Core Framework]
[The methodology. This is 60%+ of the skill.]
## Guidelines
[ALWAYS/NEVER/CRITICAL rules]
Quality Bar
Anthropic's frontend-design skill is the benchmark: ~60 lines, immediately actionable, uses NEVER/CRITICAL for guardrails, philosophy over procedures. Trust the agent to execute within guidelines.
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.
- 10d ago First seen · 101 lines · 936 tokens per session scan A 6fc1c8261a82
productskills CLAUDE.md is an instructions file published in the GitHub repository assimovt/productskills (68 stars, last pushed 6mo ago), licensed MIT. It adds 936 tokens to every session, about $0.0047 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.
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