Borrowing it
Nothing to install: this file belongs to PANGKAIFENG/ai-product-manager-skills. 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/PANGKAIFENG/ai-product-manager-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/PANGKAIFENG/ai-product-manager-skillsWrote 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/pangkaifeng/ai-product-manager-skills/agents-md)<a href="https://agentmods.dev/instructions/pangkaifeng/ai-product-manager-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/pangkaifeng/ai-product-manager-skills/agents-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/pangkaifeng/ai-product-manager-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/pangkaifeng/ai-product-manager-skills/agents-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 | $0.00561 | $0.00561 |
| Opus 5 | $0.00280 | $0.00280 |
| Sonnet 5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
ai-product-manager-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 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Orientation
This is a thin index for agents working in this repository. Read SKILL_ROUTING.md
before choosing between adjacent Skills and SKILL_REGISTRY.md for the public
catalog and boundaries.
Role Model
| Role | Primary Skill |
|---|---|
| Framer | ai-collaboration-calibration |
| Researcher | research-topic-compiler / decision-research |
| Designer / Maker | brainstorming / prd-architect |
| Critic | grill-me |
| UI Handoff | ui-mockup-desktop-workbench |
| Reviewer | prd-review |
| Backlog Splitter | prd-to-issues |
| Customer Discovery | customer-requirement-discovery |
| Skill Governance | team-skill-creator / skill-reviewer |
| Engineering Context | project-context-steward / agent-trace-diagnoser |
Loop And Workflow Index
Loop contracts live under loops/ and coordinate state, return edges, and stop
conditions. Stage composition lives under workflows/:
decision-loopsolution-loopdelivery-loopproblem-to-solutionsolution-to-delivery
The two Workflows and three Loops expose explicit-only Codex Runtime adapters
through their co-located SKILL.md files. Use a Loop only when the user needs
multi-round state, resumability, or a repeated handoff. Do not run every Skill
in a Loop by default.
External Writes
Only tools/ publishers and automations own DingTalk/Yunxiao side effects. A
Skill handoff, Loop return edge, Workflow chain, or Manifest approval is not a
trusted host capability. Package mode is dry-run-only in the current Agent
runtime; real Package writes stop with authorization_required. Legacy direct
publishing remains a separate explicitly confirmed path, never a Package bypass.
State Convention
Use .loop-state/<loop-name>/ only when the user asks to save or resume state.
For chat-only work, keep the same fields in the response and do not create a
state folder.
Catalog Update Rule
When adding or publicizing a Skill, update these coordinated surfaces together:
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.
- 12d ago First seen · 66 lines · 561 tokens per session scan A a37d19a65c9c
ai-product-manager-skills AGENTS.md is an instructions file published in the GitHub repository PANGKAIFENG/ai-product-manager-skills (11 stars, last pushed 12d ago), licensed MIT. It adds 561 tokens to every session, about $0.0028 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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