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.
git clone --depth 1 https://github.com/johnnywuj81/tokenknowsWrote 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/commands/johnnywuj81/tokenknows/weekly)<a href="https://agentmods.dev/commands/johnnywuj81/tokenknows/weekly"><img src="https://agentmods.dev/badge/commands/johnnywuj81/tokenknows/weekly/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/commands/johnnywuj81/tokenknows/weekly"><img src="https://agentmods.dev/badge/commands/johnnywuj81/tokenknows/weekly.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 | $0.00048 | $0.00213 |
| Opus 5.5 | $0.00019 | $0.00085 |
| Sonnet 5.5 | $0.00010 | $0.00043 |
| Haiku 4.5 | $0.00005 | $0.00021 |
Grade A, and why
weekly scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
按 tokenknows:distill skill 的标准流程,把当前 session 蒸馏成 weekly_report:
- 拆 3-10 条 event (用户需求 / 方案 / 关键决策 / 验证结果)
submit_session_eventsdistill_document(document_type="weekly_report", time_window="$ARGUMENTS" 默认 this_week)- 轮询
get_asset到draft get_asset_chapters展示 5 段 markdown
参数 $ARGUMENTS 可选: this_week / last_week / last_7_days / last_14_days / last_30_days. 缺省 this_week.
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.
- 1mo ago First seen · 14 lines · 48 tokens per session scan A 29490f455615
weekly is a command published in the GitHub repository johnnywuj81/tokenknows (4 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 213 once invoked, about $0.0002 per session on Opus 5.5. 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
status
Display project status, active tracks, and next actions.
prp-prd
Interactive PRD generator - problem-first, hypothesis-driven product spec with back-and-forth questioning.
plan
PM planning workflow that gathers requirements, decomposes them into prioritized tasks, defines API contracts, and produces both a machine-readable plan and a human-readable tracker in docs/plans/.
os-meeting
A command for listing active AI Team OS meetings, creating a meeting, or viewing a meeting’s messages and details.
pm-done
Close a todo (TODO-xxx), sync completed.md, refresh overview.
pm-charter
Create, import, discover, approve, or skip project charter. No-arg form is an interactive wizard.