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OpenClaw

durable-files-weekly-review-public

Run a weekly token-optimization audit for durable instruction files in any OpenClaw workspace, generate a markdown report, and propose approval-gated cleanup actions. Use when users want to keep AGENTS/USER/TOOLS/MEMORY-style docs lean without silent deletions.

andyylin0 来源安装数☆ 0 仓库 Stars
查看来源 ↗安装与使用SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install andyylin/durable-files-weekly-review-public

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Durable Files Weekly Review (Sanitized / ClawHub)

Use this skill to audit durable instruction files and prepare cleanup proposals.

Default scope

Audit these files relative to a workspace root:

  • AGENTS.md
  • SOUL.md
  • USER.md
  • TOOLS.md
  • MEMORY.md
  • IDENTITY.md
  • PRIORITIES.md
  • SKILLS.md
  • projects.md

Run

python3 scripts/durable_files_review_generic.py --root .

Optional:

python3 scripts/durable_files_review_generic.py --root /path/to/workspace --out knowledge/reports/durable-files

Workflow

  1. Run scanner.
  2. Open generated report.
  3. Summarize top token-heavy files + stale markers.
  4. Propose cleanup in batches.
  5. Require explicit user approval before any deletions.
  6. Apply approved edits and post concise changelog.

Success output

  • Dated markdown report with metrics/findings
  • Clear approval queue for removals
  • No silent content removal

来源信息

Source
github
Repository
openclaw/skills
Path
skills/andyylin/durable-files-weekly-review-public
Version
—
Commit
ee2f7fd2c0d8240f8a093d9714c88d9ac93f8b73
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md
# Durable Files Weekly Review (Sanitized / ClawHub)

Use this skill to audit durable instruction files and prepare cleanup proposals.

## Default scope
Audit these files relative to a workspace root:
- `AGENTS.md`
- `SOUL.md`
- `USER.md`
- `TOOLS.md`
- `MEMORY.md`
- `IDENTITY.md`
- `PRIORITIES.md`
- `SKILLS.md`
- `projects.md`

## Run
```bash
python3 scripts/durable_files_review_generic.py --root .
```

Optional:
```bash
python3 scripts/durable_files_review_generic.py --root /path/to/workspace --out knowledge/reports/durable-files
```

## Workflow
1. Run scanner.
2. Open generated report.
3. Summarize top token-heavy files + stale markers.
4. Propose cleanup in batches.
5. **Require explicit user approval before any deletions.**
6. Apply approved edits and post concise changelog.

## Success output
- Dated markdown report with metrics/findings
- Clear approval queue for removals
- No silent content removal

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