Borrowing it
Nothing to install: this file belongs to akaghef/M3E. 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/akaghef/M3E/main/.agents/skills/m3e-map/SKILL.mdgit clone --depth 1 https://github.com/akaghef/M3EWrote 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/akaghef/m3e/m3e-map)<a href="https://agentmods.dev/skills/akaghef/m3e/m3e-map"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/m3e-map/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/skills/akaghef/m3e/m3e-map"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/m3e-map.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 | $0.00127 | $0.03083 |
| Opus 5.5 | $0.00051 | $0.01233 |
| Sonnet 5.5 | $0.00025 | $0.00617 |
| Haiku 4.5 | $0.00013 | $0.00308 |
Grade A, and why
m3e-map scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
For complex modifications (>3 nodes), write a one-shot Node.js script to `%TEMP%` (Windows) / `/tmp` and execute. **Bash `/tmp` ≠ Node.js `/tmp` on Windows** — use absolute Windows path like `c:/Users/Akaghef/AppData/Loc How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
M3E Map API Skill
Operate on the M3E mind-map through its local REST API.
API Basics
- Base URL:
http://localhost:4173(beta — default for dev / agent operations; override withM3E_PORTenv var. final は38482) - Content-Type:
application/json; charset=utf-8 - Auth: None (local only)
- Map ID: Each map has its own opaque ID like
map_BG9BZP6NRDTEH1JYNDFGS6S3T5. There is no default doc ID — discover the target map viaGET /api/maps(filter bylabel).
Workflow
For any map operation, follow this sequence:
- Identify the map — if not given, list
GET /api/mapsand pick bylabel(e.g. "開発" = DEV, "研究" = RESEARCH) - Read the display contract first — for writes, determine the target facet and display goals before touching structure (see
references/facet-contracts.mdandreferences/display-intent.md) - Read the current state (see
references/read.md) - Modify in-memory while maintaining invariants and the chosen display contract (see
references/data-model.md) - Write the full state back via POST or PUT (see
references/write.md) - Verify the response — success returns
{ "ok": true, "savedAt": "...", "mapId": "..." }
Route structural decisions to Map Manager
This skill executes map reads and writes. It does not own scope granularity, scopen / unscopen policy, layouting / display intent, alias vs move vs GraphLink choices across facets, or worker handoff boundaries.
For those decisions, consult docs/protocols/map-manager/README.md,
docs/protocols/map-manager/gates.md, and the map-manager skill before mutation.
For complex modifications (>3 nodes), write a one-shot Node.js script to %TEMP% (Windows) / /tmp and execute. Bash /tmp ≠ Node.js /tmp on Windows — use absolute Windows path like c:/Users/Akaghef/AppData/Local/Temp/script.js when invoking node. For 1-3 node changes, inline JSON with curl is fine.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 231 lines · 127 tokens per session scan A d28ab519f4b3
m3e-map is a skill published in the GitHub repository akaghef/M3E (11 stars, last pushed 5d ago), licensed MIT. It adds 127 tokens to every session and 3,083 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.
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