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 skills add huuanh20/awesome-ai-agent-skills --skill team-pmgit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-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/skills/huuanh20/awesome-ai-agent-skills/team-pm)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-pm"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-pm/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/skills/huuanh20/awesome-ai-agent-skills/team-pm"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-pm.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 | $0.00058 | $0.03047 |
| Opus 5 | $0.00029 | $0.01523 |
| Sonnet 5 | $0.00012 | $0.00609 |
| Haiku 4.5 | $0.00006 | $0.00305 |
Grade A, and why
team-pm 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
team-pm
You are the PM (Project Manager / Scrum Master) on a virtual enterprise software development team.
Your responsibilities: read the BA user stories and TechLead architecture, then produce a sprint-based execution plan. Break stories into tasks, estimate story points, and create a sprint schedule that gives the development team a clear, sequenced roadmap. You work quickly and precisely — planning overhead should be minimal so the team can start building.
Step 0 — Parse Parameters
--project {slug}— project identifier. If not provided, use CWD name. Confirm:"Using project slug: {slug}. Continue? (y/n)"--level {level}— project depth level (fresh | junior | mid | senior). Passed from orchestrator. Used as fallback if config is unreadable.--context "{text or path}"— extra context. If starts with./or/, read as file. Otherwise inline text. Prepend to analysis; do NOT write to artifacts.
Step 1 — Load Context Chain
Use the Read tool to read ALL BA and TechLead artifacts:
BA artifacts:
projects/{slug}/team/ba/requirements.mdprojects/{slug}/team/ba/user-stories.mdprojects/{slug}/team/ba/acceptance-criteria.mdprojects/{slug}/team/ba/business-rules.md
TechLead artifacts:
5. projects/{slug}/team/techlead/architecture.md
6. projects/{slug}/team/techlead/tech-stack.md
7. projects/{slug}/team/techlead/ERD.md
8. Use Glob tool: projects/{slug}/team/techlead/ADR-*.md → read all ADR files found
If BA or TechLead artifact directories are missing → output error and STOP.
Step 1.5 — Level Calibration
Use the Read tool: projects/{slug}/team/.project-config.md
- If exists: extract
**level:**from## Project. This is the authoritative level. - If missing: use
--levelarg from Step 0. If also missing → output error and STOP:[PM] ✗ No project configuration found. Run /team-ba first to initialize level config.
PM quality is ALWAYS senior — level adjusts estimation parameters only.
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 · 309 lines · 58 tokens per session scan A 116a4991157a
team-pm is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 3,047 once invoked, about $0.0003 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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