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AD Claude Skills 开发框架架构指导手册

本框架基于 Anthropic Claude 的 Tool Use (Skills) 特性构建，旨在提供一个通过自然语言聊天即可调用各类底层工具的开发脚手架。 框架遵循高内聚、低耦合的设计原则，使开发者能够专注于“技能（Skill）”本身的编写，而无需过度关心 LLM 对话上下文、工具发现与函数执行的复杂逻辑。

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 172 tokens Open the sourcegithub.com↗ analyzed 2 d ago

本框架基于 Anthropic Claude 的 Tool Use (Skills) 特性构建，旨在提供一个通过自然语言聊天即可调用各类底层工具的开发脚手架。 框架遵循高内聚、低耦合的设计原则，使开发者能够专注于“技能（Skill）”本身的编写，而无需过度关心 LLM 对话上下文、工具发现与函数执行的复杂逻辑。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 41/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (Claude Skills 开发框架架构指导手册) differs from the folder (testhy)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 4 steps
    • 100Execution cost. Instruction body is 172 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 156: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 4 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.