Borrowing it
Nothing to install: this file belongs to michigoetz/tpm-use-cases. 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/michigoetz/tpm-use-cases/main/CLAUDE.mdgit clone --depth 1 https://github.com/michigoetz/tpm-use-casesWrote 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/michigoetz/tpm-use-cases/claude-md)<a href="https://agentmods.dev/instructions/michigoetz/tpm-use-cases/claude-md"><img src="https://agentmods.dev/badge/instructions/michigoetz/tpm-use-cases/claude-md.svg" alt="Measured on agentmods" 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 | $0.00417 | $0.00417 |
| Opus 5 | $0.00209 | $0.00209 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
tpm-use-cases 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 8d 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
TPM AI Playbook — Claude Code Plugin
This file configures the TPM AI Playbook as a Claude Code plugin.
Setup
Before running skills, create these context files in the repo root:
domain-context.md— Your org structure, tools (Jira, Aha, DataDog), stakeholders, program standards, and RAG thresholds.personal-context.md(optional) — Your role, seniority, domain, tool preferences, and communication style.
Skills
Stage 5 — Execution & Delivery (The Delivery Agent)
/tpm-program-health→skills/5-execution-delivery/tpm-program-health.md/tpm-epic-checker→skills/5-execution-delivery/tpm-epic-checker.md/tpm-extract-blockers→skills/5-execution-delivery/tpm-extract-blockers.md/tpm-risk-identifier→skills/5-execution-delivery/tpm-risk-identifier.md/tpm-stakeholder-update→skills/5-execution-delivery/tpm-stakeholder-update.md/tpm-power-questions→skills/5-execution-delivery/tpm-power-questions.md
Workflows
/tpm-workflow-execution-health→workflows/tpm-workflow-execution-health.md
Agents
tpm-comms-agent→agents/tpm-comms-agent.md
Design Principles
When generating any TPM deliverable, always enforce:
- Delivery First — Focus on execution outcomes, not documentation for its own sake
- Risk Visibility — Surface risks early, never bury blockers
- Cross-Team Alignment — Explicitly account for dependencies and cross-team impact
- Tool-Connected — Use Jira/Aha/DataDog data when provided in context
- Context Aware — Apply domain-context.md and personal-context.md when present
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.
- 8d ago First seen · 37 lines · 417 tokens per session scan A 134bf0083b25
tpm-use-cases CLAUDE.md is an instructions file published in the GitHub repository michigoetz/tpm-use-cases (10 stars, last pushed 3mo ago), licensed MIT. It adds 417 tokens to every session, about $0.0021 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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