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/tostechbr/memoryclaw/sprint-1git clone --depth 1 https://github.com/tostechbr/memoryClawWhat 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 | $0.00021 | $0.00155 |
| Opus 5 | $0.00010 | $0.00077 |
| Sonnet 5 | $0.00004 | $0.00031 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
sprint-1 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
Run the sprint-1 agent to implement Sprint 1 of Akashic Context.
The agent will:
- Add
cosineSimilarity()+searchVectorInProcess()to storage.ts - Wire hybrid merge to use real vector results in manager.ts
- Implement
memory_addMCP tool with LLM extraction and deduplication - Write all tests (TDD: RED → GREEN → REFACTOR)
- Run
pnpm test -- --runto validate everything passes
Design is pre-validated. See docs/sprint-1-design.md for full spec.
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 · 16 lines · 21 tokens per session scan A 7d22bd81fd16
sprint-1 is a command published in the GitHub repository tostechbr/memoryClaw (8 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 155 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 2026-08-31.
Other commands, from other repositories
dashboard-flow-abort
Abort the running flow on a session. Usage /dashboard:flow-abort.
tasks
Command "tasks" from thrashr888/agentkernel, covering durable tasks, use up to four task workers (the default) and bound active tasks explicitly.
show-status
作用: 显示当前 PaperFit 任务的运行状态、缺陷消除进度、视觉优先级、修复计划摘要和下一步行动；这是当前默认的“摘要 / 解释”入口。.
sprint-start
Abre uma sprint — cria a branch, o doc da sprint e o objetivo com DoD. Use quando disser "vamos começar a sprint" ou ao terminar a anterior.
project-start
Inicia o Project Genesis Wizard — do "me fale sobre teu projeto" até o primeiro sprint de código, em 5 fases. Não escreve código.
sprint-close
Fecha a sprint ativa — atualiza changelog e session log, checa a DoD e prepara a tag. Use ao dizer "fecha a sprint" ou "terminei essa etapa".