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 agentmods add skills/joinwell52-ai/codeflowmu-open/pm-scope-controlnpx skills add joinwell52-AI/CodeFlowMu-open --skill pm-scope-controlgit clone --depth 1 https://github.com/joinwell52-AI/CodeFlowMu-openWrote 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/joinwell52-ai/codeflowmu-open/pm-scope-control)<a href="https://agentmods.dev/skills/joinwell52-ai/codeflowmu-open/pm-scope-control"><img src="https://agentmods.dev/badge/skills/joinwell52-ai/codeflowmu-open/pm-scope-control.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 | $0.00058 | $0.00247 |
| Opus 5 | $0.00029 | $0.00123 |
| Sonnet 5 | $0.00012 | $0.00049 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
pm-scope-control 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 5d 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
PM Scope Control
When to use
Use this skill before dispatching work or when a task is growing beyond its original intent.
Rules
- Name allowed and forbidden change areas.
- Keep non-goals explicit.
- Split large or risky work into separate tasks.
- Treat external skills as inspiration only unless separately approved.
Required output
Use the structure in docs/skills/pm-playbook/scope-control.md.
Forbidden actions
- Do not expand the formal FCoP protocol.
- Do not add adopted-pending
0003. - Do not perform drive-by refactors.
- Do not copy external skills wholesale.
- Do not turn Playbook into runtime API.
Minimal example
Allowed: docs/skills, skills/*/SKILL.md, agent manifest
Forbidden: PmGovernancePlanner, Panel API, FCoP protocol files
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.
- 5d ago First seen · 37 lines · 58 tokens per session scan A e51d5b5b4bb3
pm-scope-control is a skill published in the GitHub repository joinwell52-AI/CodeFlowMu-open (2 stars, last pushed 11d ago), licensed MIT. It adds 58 tokens to every session and 247 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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