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david0ming

skill-scaffolder 精简技能架构

by David0Ming · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
103
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1
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0
Active Installs
1
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Install in OpenClaw
/install skill-scaffolder
Description
生成结构精简的 Claude Code skill 骨架,强制 routing-signal 三要素 + 五类 body taxonomy + Faithfulness gate。用户说起草/设计/新建/scaffold skill 时触发。
Usage Guidance
This skill is internally coherent and appears safe to use as an instruction-only scaffolder. Before installing or running: 1) If you plan to use the README's git / npx / clawhub commands, inspect the remote repository first (don't blindly run installs). 2) Be aware the agent will write files to whatever <path>/<skill-name>/ you provide—choose a safe directory and back up anything important; the scaffolder does include a non-overwrite rule but review outputs. 3) Optional examples mention tools like tiktoken, pdfplumber, tabula‑py — those are illustrative; only install them if you need the associated functionality. 4) If you allow the agent to run autonomously in environments with sensitive files, limit its file-system permissions; the skill itself does not request secrets or elevated privileges. Overall: coherent and appropriate for its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: skill-scaffolder Version: 1.0.0 The skill-scaffolder is a developer utility designed to help users create structured and optimized Claude Code skills based on the 'SkillReducer' methodology. It guides the agent through a 7-step process to generate lean skill skeletons, including core rules, background information, and examples. While the skill performs file system operations (writing new directories and Markdown files), this behavior is central to its stated purpose and includes a safety constraint to avoid overwriting existing directories. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found across the SKILL.md, README.md, or supporting documentation.
Capability Assessment
Purpose & Capability
Name and description claim to scaffold compact skill skeletons; the skill is instruction-only and asks for no environment variables, binaries, or credentials — this matches a design-time scaffolding tool. Mentions of third‑party tools (e.g., pdfplumber, tabula‑py, tiktoken) appear as examples or optional help, not as required credentials or hidden capabilities.
Instruction Scope
SKILL.md and supporting files constrain the agent to produce and split skill text files, perform taxonomy labeling, run two internal gates (retire / faithfulness), and write scaffold output to a user-chosen path. There are explicit constraints to avoid hiding operational info in background/examples and to avoid overwriting existing directories. The instructions do require file-writing to the specified path, which is appropriate for a scaffolder.
Install Mechanism
No install spec is embedded (instruction-only), which is lowest risk. README offers optional install commands (git clone, npx, clawhub) that would pull code from external sources — those are external suggestions, not automated installs. If you follow those commands, verify the remote source before running them.
Credentials
The skill declares no env vars, credentials, or config paths. Some example/template text references optional tooling (tiktoken token counting, pdfplumber/tabula) but these are illustrative and not required by the skill. No disproportionate secret access is requested.
Persistence & Privilege
always:false and no install-time persistence is requested. The skill instructs writing files within the user-specified path and to avoid overwriting existing directories; it does not request to modify other skills or system-wide agent settings. Autonomous invocation is allowed by default (platform normal) but not unusual here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skill-scaffolder
  3. After installation, invoke the skill by name or use /skill-scaffolder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of skill-scaffolder for generating concise Claude Code skill skeletons. - Enforces routing-signal three elements, five-category body taxonomy, and Faithfulness gate. - Provides a 7-step non-interactive process to assess, draft, and structure new skills. - File output includes only core rules in SKILL.md, with mandatory frontmatter for split files. - Automatic anti-pattern detection and faithfulness self-check included. - Prevents creation of skills with less than 300 tokens or when an existing solution suffices.
Metadata
Slug skill-scaffolder
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is skill-scaffolder 精简技能架构?

生成结构精简的 Claude Code skill 骨架,强制 routing-signal 三要素 + 五类 body taxonomy + Faithfulness gate。用户说起草/设计/新建/scaffold skill 时触发。 It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.

How do I install skill-scaffolder 精简技能架构?

Run "/install skill-scaffolder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is skill-scaffolder 精简技能架构 free?

Yes, skill-scaffolder 精简技能架构 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does skill-scaffolder 精简技能架构 support?

skill-scaffolder 精简技能架构 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created skill-scaffolder 精简技能架构?

It is built and maintained by David0Ming (@david0ming); the current version is v1.0.0.

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