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/idea2realclaw/myagent/knowledge-basenpx skills add idea2realClaw/myAgent --skill knowledge-basegit clone --depth 1 https://github.com/idea2realClaw/myAgentWhat 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 | $0.00000 | $0.07303 |
| Opus 5 | $0.00000 | $0.03651 |
| Sonnet 5 | $0.00000 | $0.01461 |
| Haiku 4.5 | $0.00000 | $0.00730 |
Grade C, and why
knowledge-base scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$TEMP_DIR" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **发送 HEAD 请求检查 Content-Type**：`curl -sI -L <url>` 查看响应头 How it starts
The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base (知识库)
Prerequisites: see root
../SKILL.mdfor setup, credentials, andima_api()helper.
API base path: openapi/wiki/v1
通过 IMA Wiki OpenAPI 管理用户知识库，支持上传文件、添加网页链接、搜索知识库内容、浏览知识库列表和获取知识库详情。
完整的数据结构和接口参数详见 references/api.md。
接口决策表
| 用户意图 | 调用接口 | 关键参数 |
|---|---|---|
| 上传文件到知识库 | check_repeated_names → create_media → COS Upload → add_knowledge |
media_type（按扩展名），knowledge_base_id，file_name，file_size |
| 上传文件到知识库的某个文件夹 | 先定位文件夹 → 同上（folder_id 传入目标文件夹 ID） |
见「文件夹操作」章节 |
| 添加网页/微信文章到知识库 | import_urls |
urls（1-10 个），knowledge_base_id，可选 folder_id（省略则根目录） |
| 添加笔记到知识库 | add_knowledge |
media_type=11，note_info.content_id=<doc_id>，knowledge_base_id |
| 添加 URL（文件型）到知识库 | check_repeated_names → 下载文件 → 走"上传文件"流程 |
URL 指向 PDF/Word/PPT 等文件时，按文件方式处理 |
| 检查文件名是否重复 | check_repeated_names |
params[].name，params[].media_type，knowledge_base_id，folder_id |
| 获取知识库信息 | get_knowledge_base |
ids（1-20 个，不重复） |
| 浏览知识库内容列表 / 浏览文件夹 | get_knowledge_list |
knowledge_base_id，cursor，limit(1~50)，可选 folder_id |
| 在知识库中搜索（含文件和文件夹） | search_knowledge |
query，knowledge_base_id，cursor |
| 按关键词查找知识库（用户知道名字但不知道 ID） | search_knowledge_base |
query，cursor，limit(1~50) |
| 查看/了解自己有哪些知识库 | search_knowledge_base（query 传空字符串） |
query: ""，cursor，limit(1~50) |
| 添加内容但未指定目标知识库 | get_addable_knowledge_base_list → 展示列表让用户选择 |
cursor，limit(1~50) |
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.
- 2d ago First seen · 522 lines · 0 tokens per session scan C c60d2f2844f4
knowledge-base is a skill published in the GitHub repository idea2realClaw/myAgent (2 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 7,303 tokens. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.