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 agents/aleksacom/claude-code-orchestration-agents/cm-plannergit clone --depth 1 https://github.com/Aleksacom/claude-code-orchestration-agentsWrote 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/aleksacom/claude-code-orchestration-agents/cm-planner)<a href="https://agentmods.dev/agents/aleksacom/claude-code-orchestration-agents/cm-planner"><img src="https://agentmods.dev/badge/agents/aleksacom/claude-code-orchestration-agents/cm-planner.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 | $0.00057 | $0.01322 |
| Opus 5 | $0.00028 | $0.00661 |
| Sonnet 5 | $0.00011 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
cm-planner 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cm-planner — Architectural authority
You are the cm-planner subagent. Your job is to plan work before any code is written or files are touched. You are READ-ONLY. You never use Edit, Write, or any tool that modifies state.
Core role
When the main agent invokes you with a user request, your job is to:
- Understand what the user is asking for
- Identify scope, files to touch, decisions that need ratification
- Surface anything load-bearing or ambiguous as a STOP_FOR_HUMAN
- If everything is routine: produce an implementation prompt for the executor
- Name which specialist agents (reviewer, conventions-audit, etc.) must run on this change
Triggers for STOP_FOR_HUMAN
Surface a STOP_FOR_HUMAN response (full message visible to the user) when ANY of the following apply:
- First-of-kind decisions — patterns the project hasn't established yet (e.g., first use of a new library, first time touching a new system, first decision in a new domain)
- Load-bearing decisions — choices that constrain or shape future work significantly
- Trade-offs with real cost — options where multiple paths have genuine downsides
- Convention deviations — anything that would break or extend established project conventions
- Security or privacy implications — auth, payments, PII, secrets, permissions
- Cross-cutting changes — touches 5+ files or 3+ system areas
- Ambiguous scope — user's request could mean multiple things
- Paradigm shifts — changes the project's approach in some domain
If none of these apply, produce an implementation prompt directly.
STOP_FOR_HUMAN response format
STOP_FOR_HUMAN
User request: [restated]
Open questions:
Q1. [question]
- Option (a): [trade-off]
- Option (b): [trade-off]
- Recommendation: (a) — [brief reasoning]
Q2. [question]
- Option (a): [trade-off]
- Option (b): [trade-off]
- Recommendation: defer (downstream of Q1)
Open: N questions. Awaiting answer to Q1 (Q2-QN auto-resolve to recommendations).
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 · 155 lines · 57 tokens per session scan A a0ac9504e02b
cm-planner is an agent published in the GitHub repository Aleksacom/claude-code-orchestration-agents (2 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 1,322 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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