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/fthsrbst/mnema/map-projectnpx skills add fthsrbst/mnema --skill map-projectgit clone --depth 1 https://github.com/fthsrbst/mnemaWrote 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/fthsrbst/mnema/map-project)<a href="https://agentmods.dev/skills/fthsrbst/mnema/map-project"><img src="https://agentmods.dev/badge/skills/fthsrbst/mnema/map-project.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 | $0.00060 | $0.01102 |
| Opus 5 | $0.00030 | $0.00551 |
| Sonnet 5 | $0.00012 | $0.00220 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
map-project 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 3d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map a Project
Create a compact authority map that lets another agent orient itself without rediscovering the repository. Keep current state in the project map, durable atomic knowledge in memory, long-form material in RAG, and work chronology in session logs.
1. Resolve the canonical project
- Call
project_list; reuse the canonical name when the repo is already represented. - Call
project_get(name)before changing an existing map. Treat list fields such asmodules,decisions, andnext_stepsas full replacements. - Use one project map for one product/system even when it has several working-tree paths. Record private/public/OS paths in
paths; do not create duplicate project maps for repository aliases. - Do not model people, professional profiles, machines, learning collections, clients, or environments as projects. Use
profile_get/profile_update, machine tools, global memory, or thelearningRAG namespace instead.
2. Gather evidence before writing
Inspect the current worktree and verify:
- repository remote, branch, dirty state, package manifests, lockfiles, and runtime requirements;
AGENTS.md/CLAUDE.md, README, ADRs, operations docs, and deployment configuration;- actual entry points, module boundaries, dependency direction, persistence/sync paths, and external services;
- commands by running the relevant help/build/test command where safe;
- current focus from live task/issue/runtime evidence, not from code shape alone.
For serious architecture work, call prompt_get("senior-software-architect") before mapping. State unknowns explicitly; never invent ownership, runtime proof, or completion status.
3. Write the project map
Call project_update with the fields that evidence supports:
summary: one paragraph describing the product and its users.status:active,paused,done, orideabased on current evidence.stack: only technologies actually used.repoandpaths: canonical remote plus known checkout/deployment aliases.current_focus: the single active outcome, not a history dump.next_steps: concrete, ordered, verifiable actions.architecture: 3–5 sentences covering layers, data flow, authority, and boundaries.modules: the complete module list. For each module providename, repo-relativepath, one-sentencepurpose,key_files, anddepends_onusing other module names.entry_points: role to repo-relative file mappings.commands: named commands that were verified or are directly authoritative from manifests.conventions: non-obvious written invariants; omit generic coding advice.data_model: main entities/tables, ownership, lifecycle, and important relations.notes: risks, operational constraints, and unresolved gaps that do not fit elsewhere.
What ships with it
1 file 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.
- 3d ago First seen · 69 lines · 60 tokens per session scan A bd9ac77059a9
map-project is a skill published in the GitHub repository fthsrbst/mnema (2 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 1,102 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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