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 commands/mrvladd-d/memobank/map-codebasegit clone --depth 1 https://github.com/mrvladd-d/memobankWhat 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 | $0.00019 | $0.00585 |
| Opus 5 | $0.00010 | $0.00293 |
| Sonnet 5 | $0.00004 | $0.00117 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
map-codebase 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 2d 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
/map-codebase — Brownfield mapping
- Создай
.tasks/TASK-MB-MAP/. - Запусти сабагентов по зонам (до 5–7 параллельно):
- tooling/CI
- backend
- frontend
- data
- tests
Каждый сабагент:
- smart calling (глобы должны матчиться)
- пишет отчёт в
.tasks/TASK-MB-MAP/...
- Синтезируй
.memory-bank/по чеклисту:
- product
- architecture (C4)
- spec-index / glossary / invariants (если есть достаточно evidence для явного normative routing)
- runbooks
- contracts
- states (если lifecycle/state rules очевидны из кода, workflow или тестов)
- testing
- index
PRD-less rule (non-negotiable): если нет
prd.md, запрещено генерировать roadmap сущности:
.memory-bank/epics/*.memory-bank/features/*.memory-bank/tasks/*.task.jsontask records.memory-bank/tasks/index.jsontask linksМаппинг = as-is документация по evidence, а не планирование.
- Сделай fan-in:
- сведи отчёты сабагентов
- устрани противоречия (или запиши как “needs verification”)
- раздели facts vs inferences
- Попроси у пользователя PRD delta (что хотим изменить).
- Если delta уже оформлена как PRD —
/constitution, если principles не ratified/partial, затем/write-prd --delta,/spec-init,/prd,/spec-design,/spec-improve FT-<NNN>и/prd-to-tasks FT-<NNN>. - Если delta ясна, но PRD нет — сначала
/brief, затем/constitution, если principles не ratified/partial, затем/write-prd,/spec-init,/prd,/spec-design,/spec-improve FT-<NNN>и/prd-to-tasks FT-<NNN>. - Если delta сырая / направление нестабильно — сначала
/analysisили/brainstorm. - Не переходи напрямую к
/prd-to-tasks; для planning delta сначала нужен/write-prd,/spec-init,/prd,/spec-designи/spec-improve FT-<NNN>.
- Если delta уже оформлена как PRD —
- Запусти
/review.
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.
- 2d ago First seen · 55 lines · 19 tokens per session scan A 6e28e4265dbc
map-codebase is a command published in the GitHub repository mrvladd-d/memobank (55 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 585 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.