list

A command for listing documents distilled from the current project, such as reports, designs, incident records, books, and knowledge graphs. Distilled documents are shorter, structured records made from earlier work.

In plain words
What is it for?
Listing all available distilled documents or filtering them by type or status, then finding an item to open.
Why use it?
It helps you review past project knowledge without opening each document individually.

Command

Install

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.

agentmods
npx agentmods add commands/johnnywuj81/tokenknows/list
Clone the repo
git clone --depth 1 https://github.com/johnnywuj81/tokenknows
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 202 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00027 $0.00202
Opus 5 $0.00014 $0.00101
Sonnet 5 $0.00005 $0.00040
Haiku 4.5 $0.00003 $0.00020

Measured 2d ago against content hash 49be8a2e2032, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

list 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.

tokenknows-plugin/commands/list.md · 22 lines

What it actually says

调 MCP tool list_assets:

asset_type: $ARGUMENTS  // 可选 weekly_report/tech_design/adr/incident/book/agent_skill/knowledge_graph
limit: 20  // 默认

展示方式:

[type] title (status) · v{version} · {updated_at}
   id: asset-xxx
   metrics: coverage=0.88 / citation=0.72

如果用户想看具体某条, 提示 "调 /tokenknows:open asset-xxx" 或者 "在浏览器打开 {view_url}" (绝对 URL, 需登录 Web 工作台)。

$ARGUMENTS 时列出全部 7 类 asset (按时间倒序). 有 $ARGUMENTS 时按 type 过滤.

Changes

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.

  1. 2d ago First seen · 22 lines · 27 tokens per session scan A 49be8a2e2032

Subscribe to this mod's changes

list is a command published in the GitHub repository johnnywuj81/tokenknows (4 stars, last pushed 13d ago), licensed MIT. It adds 27 tokens to every session and 202 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.