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 skills/aisee-lab/aisee-plugin/aisee-knowledgenpx skills add AISEE-LAB/aisee-plugin --skill aisee-knowledgegit clone --depth 1 https://github.com/AISEE-LAB/aisee-pluginWrote 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/skills/aisee-lab/aisee-plugin/aisee-knowledge)<a href="https://agentmods.dev/skills/aisee-lab/aisee-plugin/aisee-knowledge"><img src="https://agentmods.dev/badge/skills/aisee-lab/aisee-plugin/aisee-knowledge.svg" alt="Measured on agentmods" 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 | $0.00112 | $0.00799 |
| Opus 5 | $0.00056 | $0.00400 |
| Sonnet 5 | $0.00022 | $0.00160 |
| Haiku 4.5 | $0.00011 | $0.00080 |
Grade A, and why
aisee:knowledge 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 4d 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
aisee:knowledge
引导团队知识 CLI 的低门槛使用：初始化、配置、检查、同步、检索和已审查 drafts 的写入。
职责
- 检查业务项目是否已配置
aisee/knowledge.yaml。 - 使用
aisee knowledge inspect/doctor/check判断 team knowledge 状态。 - 使用
init-repo和configure建立最小可用团队知识链路。 - 使用
install/update同步已 pin 的 Git team knowledge checkout。 - 使用
query给实现、审查和验证提供少量 guardrails。 - 在用户明确授权后，使用
promote-batch把已审查 curation report 写入本地 team knowledge worktree。
不负责
- 不审查、去敏、泛化项目候选知识；这属于
aisee:knowledge-curate。 - 不从聊天记录或全仓库 Markdown 临时生成 active team card。
- 不让 team knowledge 替代 OpenSpec specs、tasks、contracts、source-map 或 baseline。
- 不把
aisee/cache/knowledge-index.json当事实源。 - 不自动创建分支、commit、push、merge 或 PR。
Workflow
按用户目标选择模式；需要命令细节时读取 references/workflow.md。
| 用户目标 | 处理方式 |
|---|---|
| “检查团队知识是否可用” | 运行 aisee knowledge inspect --json、doctor --json，必要时 check --json。 |
| “初始化团队知识库” | 先说明写入路径，用户确认后运行 init-repo，再 configure。 |
| “配置当前项目使用团队知识” | 运行 configure --path <path> --enable-pack <pack>，再 doctor。 |
| “同步团队知识” | 检查 knowledge.yaml 后运行 install 或 update。 |
| “查询可复用经验” | 运行 query；有明确 change 时优先 query --from-change <change> --for ce-work。 |
| “实现时带团队知识” | 使用 aisee knowledge query --from-change <change> --for ce-work --json。 |
| “把候选沉淀到团队知识” | 若还没有审查报告，转交 aisee:knowledge-curate；已有 report 且用户授权后使用 promote-batch。 |
Guardrails
- 写入
aisee/knowledge.yaml、team knowledge repo 或 cache 前，说明将写入的路径和命令。 promote-batch前必须确认目标路径是 team knowledge worktree，并优先运行aisee knowledge check --team-path <path> --json。promote-batch默认写入 candidate；只有用户明确要求激活时才传--activate。install/update只处理已配置的 Git checkout；dirty checkout 被阻断时不要自动清理。- 最终回复说明运行过的命令、状态、写入路径、命中 card 数量和剩余风险。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 48 lines · 112 tokens per session scan A 22f7100a998b
aisee:knowledge is a skill published in the GitHub repository AISEE-LAB/aisee-plugin (11 stars, last pushed 2mo ago), licensed MIT. It adds 112 tokens to every session and 799 once invoked, about $0.0006 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 2026-08-30.
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