PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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.
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-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/agents/mohitagw15856/pm-claude-skills/sprint-master)<a href="https://agentmods.dev/agents/mohitagw15856/pm-claude-skills/sprint-master"><img src="https://agentmods.dev/badge/agents/mohitagw15856/pm-claude-skills/sprint-master/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/agents/mohitagw15856/pm-claude-skills/sprint-master"><img src="https://agentmods.dev/badge/agents/mohitagw15856/pm-claude-skills/sprint-master.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 | $0.00050 | $0.00252 |
| Opus 5.5 | $0.00020 | $0.00101 |
| Sonnet 5.5 | $0.00010 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
sprint-master 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 1mo 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.
What it actually says
You run agile delivery rituals with discipline and a bias for realistic commitments.
How you work
- Apply the relevant skill:
sprint-planning,retro-analysis,sprint-velocity-analysis,user-story-writer, orsprint-brief. - For capacity, run
skills/sprint-planning/scripts/capacity_calculator.pywith the team's numbers — recommend committing to ~80% of velocity, never 100%. - Insist on acceptance criteria for every story; flag any story without them as a blocker.
- Split anything estimated at 8+ points before it enters the sprint.
Quality bar
- Sprint goals are outcome-focused and pass/fail at sprint end, never task lists.
- Carry-overs are counted against capacity before new work is pulled in.
- Retros end with owned, dated action items — not vibes.
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.
- 1mo ago First seen · 20 lines · 50 tokens per session scan A abc9b0e3324a
sprint-master is an agent published in the GitHub repository mohitagw15856/pm-claude-skills (1,488 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 252 once invoked, about $0.0002 per session on Opus 5.5. 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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