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openclaw-adminOpenClaw admin 效率

Agent Skill

openclaw-admin 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

720

周安装

30

GitHub Stars

3

下载量

240
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-admin(OpenClaw admin 效率)
来源仓库:https://github.com/anthemflynn/ccmp
仓库路径:skills/openclaw-admin
安装命令:
npx skills add https://github.com/anthemflynn/ccmp --skill openclaw-admin
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/anthemflynn/ccmp --skill openclaw-admin

简介

用于 OpenClaw 系统的配置管理、性能调优和安全修复,支持诊断与自动化运维。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中需要配置变更、API 故障排查或审计时使用。
  • 使用时需遵循 verify → apply → verify → restart → test 流程,避免跳过验证步骤。
  • 安装前建议确认权限范围和维护状态,以及是否会触发联网、命令执行或文件读写。
  • 可通过 GitHub 仓库获取具体用法,建议结合原始 README 和示例脚本进一步验证功能。

SKILL.md

!openclaw status --all 2>&1 | head -20

OpenClaw Admin — Configure, Fix, Tune

You are an OpenClaw administrator. Apply configuration changes with discipline: verify → apply → verify → restart → test. Never skip verification — confident users make typos too.

When to Use This Skill

  • Config changes (openclaw config set)
  • Security fixes flagged by openclaw-doctor or openclaw security audit
  • Performance tuning (models, concurrency, pruning, memory)
  • Troubleshooting stopped messages, channel errors, API issues
  • openclaw doctor --fix for automated repairs

Diagnostic Triage

Always start here before changing anything:

openclaw status --all              # health snapshot
openclaw gateway status            # service running?
openclaw channels status --probe   # channel health

Then target:

  • Config → openclaw doctor
  • Channels → openclaw channels status --probe
  • Sessions → openclaw sessions --active 120
  • Memory → openclaw memory status --deep
  • Logs → openclaw logs --follow

Common error patterns:

ErrorLikely CauseFix
permissionDeniedFull Disk Access (macOS)System Settings → Privacy
Cannot find moduleMissing dependencynpm install -g <pkg>
Address already in usePort conflictopenclaw gateway status --force
No API key foundMissing credentialsopenclaw models status --probe

Change Discipline

Every config change follows this workflow:

1. openclaw config get <path>          # verify current value
2. openclaw config set <path> <value>  # apply change
3. openclaw config get <path>          # verify it applied
4. openclaw gateway restart            # if restart required (see references/restart-matrix.md)
5. openclaw status --all               # test it works

Batching vs Isolation

Batch (apply multiple → verify all → restart → test):

  • Interdependent settings (memory flush + reserve tokens + compaction)
  • Low-risk settings (timeouts, concurrency)
  • User explicitly requests batch

Isolate (apply one → verify → test → next):

  • First time enabling a feature
  • High-impact changes (channels, auth, models)
  • Debugging why a change doesn't work

Default: When in doubt, isolate.

Example batch grouping:

Group 1 — Memory system (interdependent):
  memoryFlush, reserveTokensFloor, memorySearch
  → Apply all → Verify all → Restart → Test

Group 2 — Context optimization (interdependent):
  pruning mode, TTL, keepLastAssistants
  → Apply all → Verify all → Test (no restart needed)

Group 3 — Performance (independent):
  heartbeat, concurrency, logging
  → Apply all → Verify all → Restart → Test

Common Admin Tasks

Enable Memory System

openclaw config set agents.defaults.compaction.memoryFlush.enabled true
openclaw config set agents.defaults.compaction.memoryFlush.softThresholdTokens 6000
openclaw config set agents.defaults.compaction.reserveTokensFloor 24000
openclaw config get agents.defaults.compaction

# Optional: local vector search
openclaw config set agents.defaults.memorySearch.provider "local"
openclaw config set agents.defaults.memorySearch.local.modelPath "hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf"

Enable Context Pruning

openclaw config set agents.defaults.contextPruning.mode "adaptive"
openclaw config set agents.defaults.contextPruning.keepLastAssistants 5
openclaw config get agents.defaults.contextPruning

Security Hardening

openclaw security audit --deep          # find issues
openclaw security audit --fix           # auto-fix what it can
chmod 600 ~/.openclaw/openclaw.json     # if flagged
chmod 600 ~/.openclaw/auth-profiles.json
chmod 700 ~/.openclaw/credentials/ 2>/dev/null
chmod 700 ~/.openclaw/state/ 2>/dev/null

Automated Repairs

openclaw doctor          # diagnose + suggest
openclaw doctor --fix    # apply safe auto-fixes

Optimization Quick Reference

GoalSettingValue
Reduce API costscontextPruning.modeadaptive
subagents.modelanthropic/claude-haiku-3-5
Keep cache warmheartbeat.intervalLess than pruning TTL
Preserve contextmemoryFlush.softThresholdTokens6000
reserveTokensFloor24000
Faster responsesmaxConcurrent4 (default)
subagents.maxConcurrent8

Authority & Time Pressure

When a user says "just apply it" — still verify. Verification catches typos, not intent.

When a user says "ASAP" — batch smartly, verify each batch. 3-4 minutes with discipline beats 2 minutes + 20-minute debug session.

Red Flags — Stop and Verify

If you catch yourself thinking:

  • "User is confident, skip verification"
  • "Simple change, no need to test"
  • "Gateway auto-applies, no restart needed"
  • "They'll notice if it doesn't work"

Verify anyway. Test the change.

References

  • references/config-paths.md — Full config dot-path catalog
  • references/restart-matrix.md — Which changes need restart

Related Skills

  • openclaw-doctor — Run a read-only 10-domain audit to identify issues before fixing
  • openclaw-maintain — Daemon ops, updates, log rotation, cron management
  • openclaw-extend — Add plugins, channels, nodes, webhooks

Bottom Line

Configuration is code. Test changes like code changes. Verify → Apply → Verify → Restart → Test. Skip nothing.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.31%
按下载量换算90

Claude

29.89%
按下载量换算72

Cursor

19.53%
按下载量换算47

Gemini CLI

8.9%
按下载量换算21

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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