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/open)<a href="https://agentmods.dev/commands/johnnywuj81/tokenknows/open"><img src="https://agentmods.dev/badge/commands/johnnywuj81/tokenknows/open/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/open"><img src="https://agentmods.dev/badge/commands/johnnywuj81/tokenknows/open.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 | $0.00025 | $0.00230 |
| Opus 5.5 | $0.00010 | $0.00092 |
| Sonnet 5.5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
open 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
先校验 $ARGUMENTS:
- 期望格式:
asset-<12-16 hex chars>或demo-{kg,wr}-NNN(e.g.asset-3d6cf67d96,demo-kg-001) - 若含
;,|,&,$, ```, 引号, 空格 或换行 等可疑字符, 拒绝 并提示 "asset_id 格式异常, 用 /tokenknows:list 查可用 id" - 若为空, 提示 "请传 asset_id, 用 /tokenknows:list 看可用 id"
校验通过后调 MCP tool get_asset_chapters("$ARGUMENTS"),展示所有章节 markdown.
如果是 knowledge_graph 类型, 额外:
- 简述节点/边统计
- 询问用户是否要
search_entity查特定实体跨文档出现
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 · 15 lines · 25 tokens per session scan A ba5a23681267
open is a command published in the GitHub repository johnnywuj81/tokenknows (4 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 230 once invoked, about $0.0001 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
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
init
Initialize configurations for Supabase local development.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.
constraints
A command for defining a project's quality standards through a short interview and a written CONSTRAINTS.md file. It records checks, thresholds, exceptions, and commands for enforcing them.
migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.
cost-tracker
Track session costs, understand token spend, and get optimization tips.