Agent skill

Skill Invocation Router

by fancyboi999 in fancyboi999/ai-engineering-from-scratch-zh

为 Agent Skill 目录设计并测试显式人工、隐式模型或 agent、程序化应用、有界 skill 组合和 harness 激活策略。

MITAuto-check passedAI & LLM Engineering

Install Skill Invocation Router

skills CLI
$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill skill-invocation-router -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh skill-invocation-router --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router .claude/skills/skill-invocation-router && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-invocation-router
GitHub stars
1.2k
Token cost
~215 tokens
SKILL.md length
62 words
Files
4 (incl. scripts, references, assets)
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

为 Agent Skill 目录设计并测试显式人工、隐式模型或 agent、程序化应用、有界 skill 组合和 harness 激活策略。

  • Works in 8 steps: 阅读 references/invocation-model.md,并归类请求通道。 → 查看… → 运行 python3… → …
  • AI & LLM Engineering work in your project
  • Runs Python scripts from its folder; calls python3

What it does

Skill Invocation Router is an agent skill from fancyboi999/ai-engineering-from-scratch-zh. 为 Agent Skill 目录设计并测试显式人工、隐式模型或 agent、程序化应用、有界 skill 组合和 harness 激活策略。

Its SKILL.md is about 220 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/host-policy.json`, `references/invocation-model.md` and `scripts/simulate_invocation.py`).

It sits in AI & LLM Engineering. It works with Python. The repository describes itself as: Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南. The licence is MIT.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/skill-invocation-router”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 阅读 references/invocation-model.md,并归类请求通道。
  2. 查看 assets/host-policy.json;它是适配器配置示例,不是可移植标准。
  3. 运行 python3 scripts/simulate_invocation.py --policy assets/host-policy.json --actor ACTOR --name NAME --description DESCRIPTION --query…
  4. 对人工、应用、skill 或 harness 请求,要求精确的已发现名称和该通道的 allowlist。
  5. 对 skill 调用者,还要求调用者身份、无环目标和有界组合深度。
  6. 对模型或自治 agent 请求,排除 actor 或已识别宿主扩展使其不具资格的候选项。
  7. 只为其余描述打分;选最强的合格匹配,若没有候选项过阈值则弃权。
  8. 返回包含 adapter、通道、分数和策略原因的 JSON 决策。

What it can do on your machine

Read from SKILL.md and the folder at commit fb127e2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Invocation Router loads about 215 tokens when it runs, and up to ~520 if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 62 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~215
With references · SKILL.md plus every file in references/, read only if the agent opens them
~520

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from fancyboi999/ai-engineering-from-scratch-zh at commit fb127e2, republished under its MIT licence (© fancyboi999). 62 words, ~215 tokens.

Download SKILL.mdSave it as .claude/skills/skill-invocation-router/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
skill-invocation-router
description
为 Agent Skill 目录设计并测试显式人工、隐式模型或 agent、程序化应用、有界 skill 组合和 harness 激活策略。
license
MIT
metadata.lesson
25

Skill 调用路由器

当宿主需要可审计的激活策略,而不是一个没有区分的 invocable 标志时使用。

  1. 阅读 references/invocation-model.md,并归类请求通道。
  2. 查看 assets/host-policy.json;它是适配器配置示例,不是可移植标准。
  3. 运行 python3 scripts/simulate_invocation.py --policy assets/host-policy.json --actor ACTOR --name NAME --description DESCRIPTION --query QUERY [--explicit-name NAME] [--caller-name NAME] [--depth N] [--user-invocable true|false] [--disable-model-invocation true|false]。
  4. 对人工、应用、skill 或 harness 请求,要求精确的已发现名称和该通道的 allowlist。
  5. 对 skill 调用者,还要求调用者身份、无环目标和有界组合深度。
  6. 对模型或自治 agent 请求,排除 actor 或已识别宿主扩展使其不具资格的候选项。
  7. 只为其余描述打分;选最强的合格匹配,若没有候选项过阈值则弃权。
  8. 返回包含 adapter、通道、分数和策略原因的 JSON 决策。

激活只会加载指令;它不会批准工具、文件系统变更、网络访问、secret 使用或 bundle 中的脚本。

© fancyboi999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references, assets) in phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router of fancyboi999/ai-engineering-from-scratch-zh.

  • SKILL.md
  • assets/host-policy.json
  • references/invocation-model.md
  • scripts/simulate_invocation.py

Open the folder on GitHubat commit fb127e2

Compare with similar skills

Skill Invocation Router next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Invocation Router compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Invocation Router this skillfancyboi999/ai-engineering-from-scratch-zh1.2k—~215Automated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k8 repos~1.7kAutomated safety check: PassMIT
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Azure AI Projects Python SDKmicrosoft/skills3.1k6 repos~2.8kAutomated safety check: PassMIT

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Works with

Questions about Skill Invocation Router

What does Skill Invocation Router do?

为 Agent Skill 目录设计并测试显式人工、隐式模型或 agent、程序化应用、有界 skill 组合和 harness 激活策略。. Skill Invocation Router is an agent skill from fancyboi999/ai-engineering-from-scratch-zh.

When should I use Skill Invocation Router?

Skill Invocation Router fits situations like: AI & LLM Engineering work in your project.

How do I install Skill Invocation Router in Claude Code?

Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill skill-invocation-router -a claude-code`. Or copy the skill folder (phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router in fancyboi999/ai-engineering-from-scratch-zh) into .claude/skills/skill-invocation-router in your project. Claude Code loads it when a task matches its description.

How do I install Skill Invocation Router in Codex?

Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill skill-invocation-router -a codex`. Or copy the skill folder (phases/13-tools-and-protocols/25-skill-invocation-and-routing/outputs/skill-invocation-router in fancyboi999/ai-engineering-from-scratch-zh) into .agents/skills/skill-invocation-router in your project. Codex loads it when a task matches its description.

Can I use Skill Invocation Router in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill skill-invocation-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-invocation-router, .gemini/skills/skill-invocation-router, .github/skills/skill-invocation-router and .opencode/skills/skill-invocation-router in your project.

What does Skill Invocation Router need to run?

Going by SKILL.md and its folder, Skill Invocation Router needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Skill Invocation Router access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Invocation Router safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Invocation Router use?

Skill Invocation Router is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Invocation Router use?

About 215 tokens (SKILL.md is roughly 860 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 305 tokens, read only when the agent opens those files.

What are the alternatives to Skill Invocation Router?

Skills that share tags, products or a category with Skill Invocation Router: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Invocation Router?

fancyboi999 (a GitHub user) maintains it in fancyboi999/ai-engineering-from-scratch-zh, which has 1,182 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 28, 2026.

Source: fancyboi999/ai-engineering-from-scratch-zh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.