mnm-planner

mnm-planner is a skill for Claude Code from momomuchu/make-no-mistakes. It costs 103 tokens per session (1,302 once invoked), scanned A, original, MIT.

A planning role in the “make-no-mistakes” workflow that turns fixed requirements into an ordered list of files to change. It also creates a list of allowed file paths and maps each requirement to the files that implement it.

In plain words
What is it for?
Use it before implementation to plan file changes, connect acceptance criteria to files, and define the paths implementers may modify.
Why use it?
It reduces the risk of missing a requirement or letting an implementer edit files outside the agreed scope.

Skill for Claude Code

Written for Claude Code: disallowed-tools in frontmatter. Also seen: agent in frontmatter; names the NotebookEdit tool.

Part of the make-no-mistakes plugin — 5 skills, 6 agents, 2 hooks shipped together

Good fit Use it before implementation to plan file changes, connect acceptance criteria to files, and define the paths implementers may modify.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/momomuchu/make-no-mistakes/mnm-planner
Install

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.

Any agent
npx skills add momomuchu/make-no-mistakes --skill mnm-planner
Clone the repo
git clone --depth 1 https://github.com/momomuchu/make-no-mistakes

Made for: Claude Code.

Or install make-no-mistakes, the plugin that ships this one along with the rest of its 5 skills, 6 agents, 2 hooks.

Wrote 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.

agentmods badge for mnm-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/momomuchu/make-no-mistakes/mnm-planner/github.svg)](https://agentmods.dev/skills/momomuchu/make-no-mistakes/mnm-planner)
Your own site
<a href="https://agentmods.dev/skills/momomuchu/make-no-mistakes/mnm-planner"><img src="https://agentmods.dev/badge/skills/momomuchu/make-no-mistakes/mnm-planner/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.

agentmods 80×15 button for mnm-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/momomuchu/make-no-mistakes/mnm-planner"><img src="https://agentmods.dev/badge/skills/momomuchu/make-no-mistakes/mnm-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,302 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.01302
Opus 5 $0.00051 $0.00651
Sonnet 5 $0.00021 $0.00260
Haiku 4.5 $0.00010 $0.00130

Measured 11d ago against content hash d85930dd73b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mnm-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 11d 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.

skills/mnm-planner/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mnm-planner

Owns the file-touch map and write-scope allowlist before any implementation write happens — the explicit producer of R2's write-scope allowlist requirement, which nothing currently owns. Runs on the strongest model the runtime offers, the same tier as the Orchestrator — never downgraded to a narrower/cheaper model as a cost cut. A controlled ablation (MapCoder-Lite) found planning specifically degrades under a narrowed model even when the underlying role split helps; this is a standing rule for this role, not a suggestion (spec R32).

Job

  1. Read .mnm/dod.lock.md (frozen) and the repo — Read/Grep/Glob only.
  2. Produce an ordered file-touch map covering every acceptance criterion.
  3. Derive the write-scope allowlist: the explicit set of paths the Implementer(s) may touch.
  4. Map each acceptance criterion to the file(s) that satisfy it (acceptance_slice_map). This map is read back and enforced: run_gates runs check_traceability.py, which fails the run if any criterion maps to zero files or to a file that does not exist — so a criterion cannot silently go unimplemented and still reach DONE.
  5. Optionally call detect_stack.sh [dir] (read-only) to learn the project's real gate/test conventions, so the plan matches how this repo actually works instead of guessing.
  6. Stop. Never begin implementing, never write a line of code.

When invoked

M+ tier only, after freeze_dod.sh succeeds, before any Implementer lane starts. Runs in parallel with mnm-test-author — both consume only the frozen DoD, neither depends on the other's output. At T/L tier this role is not spawned separately: its discipline (a brief file-touch note before writing) folds into the Implementer's own first step instead.

Delegation-brief contract (11 fields, DD-2)

Field Value
owner planner
scope <dod.lock.md path + hash>, passed as $ARGUMENTS at invocation
action Produce an ordered file-touch map and write-scope allowlist satisfying dod.lock.md's acceptance criteria; no code
context-payload Pointer to dod.lock.md + anchors.json (frozen); on retry, the prior attempt's rejection reason — nothing else
verify Schema-valid plan.json; every acceptance criterion mapped to ≥1 file
done plan.json returned, schema-validated, and hash-anchored
termination-condition Stop the moment the returned plan validates against its schema — do not also start implementing
evidence plan.json
write-boundary None held by this role. The only artifact its output may ever become on disk is .mnm/plan.json, written by the Orchestrator after schema validation
conflict-boundary None — read-only everywhere
tool/source-restriction Read, Grep, Glob, and read-only detect_stack.sh only. No Write/Edit/MultiEdit, no delegation/spawn tools — per the hard rule, only Orchestrator/Arbiter/Integrator may hold those

Read the full file on GitHub · 95 lines

Changes

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.

  1. 11d ago First seen · 95 lines · 103 tokens per session scan A d85930dd73b2

Subscribe to this mod's changes

mnm-planner is a skill published in the GitHub repository momomuchu/make-no-mistakes (8 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 1,302 once invoked, about $0.0005 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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