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在 OpenClaw 中安装
/install procedural-distiller
功能描述
Distill successful multi-step OpenClaw sessions into reusable learned skills before compaction. Use when a task involved many tool calls, environment setup,...
安全使用建议
This skill does exactly what it says: it reads a provided trace JSON and writes a learned skill (SKILL.md, agents/openai.yaml, memory.json) containing concrete commands, file paths, and snippets. Before running: (1) inspect the trace for secrets, credentials, or sensitive paths and redact them if present; (2) run the script in a controlled environment and set --output-root to a directory you control; (3) consider lowering --max-events or raising --min-tool-calls to limit persisted data; (4) review generated files before sharing or committing them to version control. The tool does not exfiltrate data over the network, but it will persist whatever is in the trace—treat that output as potentially sensitive.
功能分析
Type: OpenClaw Skill
Name: procedural-distiller
Version: 1.0.0
The procedural-distiller skill is a utility designed to extract successful workflows from OpenClaw session traces and save them as reusable learned skills. The core logic in distill_logic.py parses local JSON trace files, identifies successful tool patterns, and writes new skill definitions to the filesystem using standard libraries. No evidence of data exfiltration, malicious execution, or prompt injection was found; the script's file operations are restricted to the specified output directory and follow the stated purpose of session compaction and memory preservation.
能力评估
Purpose & Capability
Name/description match the included SKILL.md and distill_logic.py. Required capabilities (reading a trace, extracting events, writing skill files) align with the stated goal. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
The runtime instructions and the script read a user-supplied trace JSON and write a learned skill (SKILL.md, agents/openai.yaml, memory.json) under a skills/learned/ directory. This is expected, but the workflow explicitly preserves concrete commands, file paths, and code snippets from the trace without sanitization, which could capture and persist sensitive data (secrets, credentials, absolute paths).
Install Mechanism
No install spec; this is an instruction-only skill with an included Python script. That is low-risk—nothing is downloaded or executed automatically beyond running the provided script locally.
Credentials
The skill requests no environment variables or credentials (proportional). However, because it serializes whatever is in the trace into persistent files, it may store sensitive environment-derived data present in traces. The absence of declared credentials is appropriate, but users should verify trace contents before distillation.
Persistence & Privilege
always is false and the skill only writes files into an output-root/learned skill directory (default 'skills/learned/...'). It does not modify other skills, system-wide agent settings, or request permanent platform privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install procedural-distiller - 安装完成后，直接呼叫该 Skill 的名称或使用
/procedural-distiller触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of procedural-distiller skill:
- Automatically distills successful, multi-step OpenClaw sessions into reusable learned skills.
- Triggers only after successful completion involving at least 5 relevant tool calls.
- Extracts and organizes concrete steps, failure triggers, and useful code snippets from session traces.
- Saves distilled workflows as structured skills with metadata and utility scores for future reuse.
- Skips trivial, incomplete, or insufficiently detailed sessions.
元数据
常见问题
procedural-distiller 是什么？
Distill successful multi-step OpenClaw sessions into reusable learned skills before compaction. Use when a task involved many tool calls, environment setup,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 144 次。
如何安装 procedural-distiller？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install procedural-distiller」即可一键安装，无需额外配置。
procedural-distiller 是免费的吗？
是的，procedural-distiller 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
procedural-distiller 支持哪些平台？
procedural-distiller 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 procedural-distiller？
由 曹广雨（@xiaocaijic）开发并维护，当前版本 v1.0.0。
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