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/johnnywuj81/tokenknows/adrgit clone --depth 1 https://github.com/johnnywuj81/tokenknowsWhat 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 | $0.00041 | $0.00243 |
| Opus 5 | $0.00020 | $0.00121 |
| Sonnet 5 | $0.00008 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
adr 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
按 tokenknows:distill skill 的标准流程,把当前 session 蒸馏成 adr:
ADR 关键特征:
- 必须有 明确决策点 (e.g. "用 React Flow 而非 G6 做 KG 可视化")
- 必须有 备选方案 + 取舍理由
- 不是流水, 是 "为什么这么选" 的浓缩
- 检查 session 里是否有真实架构决策; 没有就告诉用户 "这次 session 没有明显架构决策, 建议改用 weekly_report"
- 拆 event 聚焦决策点 (备选 N 个 / 选了 X / 因为 Y / 后果 Z)
submit_session_eventsdistill_document(document_type="adr")← 注意 ADR 时间窗一般不重要- 展示
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 · 17 lines · 41 tokens per session scan A 56db5891c512
adr is a command published in the GitHub repository johnnywuj81/tokenknows (4 stars, last pushed 14d ago), licensed MIT. It adds 41 tokens to every session and 243 once invoked, about $0.0002 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
upgrade
Upgrade the skillshare CLI binary and/or the built-in skillshare skill.
build
Run full verification pipeline.
doctor
Run IJFW health check (files, MCP server, hooks, memory, caps, framing).
release
Walk the llmwiki release process step by step.
add-agent
引导新增一个 Agent 适配器。用法 /add-agent.
migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.