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phoenix-loopPhoenix loop 搜索

Agent Skill

phoenix-loop 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

13,560

周安装

565

GitHub Stars

公开资料未说明

下载量

4,520
OpenClaw

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

MIT-0

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:phoenix-loop(Phoenix loop 搜索)
来源仓库:https://github.com/dalomeve/phoenix-loop
安装命令:
openclaw skills install phoenix-loop
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install phoenix-loop

简介

自动诊断代理故障,提取可重用的恢复模式,并创建本地技能来修复重复出现的阻止程序,同时保持所有数据的私密性和本地性。

SKILL.md

name
phoenix-loop
description
Turn agent failures into permanent improvements. Auto-diagnose blocked tasks, extract lessons, and wire them into reusable skills. Privacy-first: all data stays local.

Phoenix Loop

Rise from failures. Complete tasks persistently.

When the agent encounters blockers, failures, or repeated friction, this skill starts a self-healing loop: Diagnose -> Extract -> Crystallize -> Verify.

Core Mechanism

1. Diagnose

# Read recent blocked items
Get-Content memory/blocked-items.md | Select-String "Blocker" -Context 3

# Extract failure patterns
Get-Content memory/tasks.md | Select-String "Status: failed" -Context 5

Diagnosis Checklist:

  • [ ] Is the failure cause clearly stated?
  • [ ] Were at least 2 solution paths attempted?
  • [ ] Is minimum unblock input defined?

2. Extract

Extract reusable patterns from failures:

## Failure Pattern: {pattern_name}
- Trigger: {when_this_happens}
- Root Cause: {root_cause}
- Solution: {fix_steps}
- Verification: {verification_criteria}

3. Crystallize

Write the lesson to a local skill:

skills/local/{pattern_name}-recovery.md

Skill Template:

# {Pattern Name} Recovery

## Trigger
When {condition} happens

## Steps
1. {step_1}
2. {step_2}
3. {step_3}

## Verification
- [ ] {check_1}
- [ ] {check_2}

## Fallback
If failed, execute {fallback_action}

4. Verify

Next time a similar issue occurs:

  1. Search skills/local/ for matching skills
  2. Execute recovery steps
  3. Log result to memory/{date}.md
  4. Update skill if needed

Privacy Security

All data stored locally:

  • NO external logging of failure data
  • NO API keys or tokens in skill files
  • NO upload of user task content
  • Only pattern names and solution steps recorded
  • Skills stored in skills/local/ local directory

Sensitive Data Filter: Before writing to any memory or skill, check and remove:

  • apiKey, token, secret, password
  • Bearer , sk-, OPENCLAW_
  • Personal emails, phones, addresses

Executable Completion Criteria

A phoenix-loop task is complete if and only if:

CriteriaVerification Command
Failure pattern namedSelect-String "Failure Pattern" memory/blocked-items.md
Local skill createdTest-Path skills/local/{name}-recovery.md
Skill has trigger sectionSelect-String "## Trigger" skills/local/{name}.md
Skill has verification stepsSelect-String "## Verification" skills/local/{name}.md
Memory updatedSelect-String "phoenix-loop" memory/{today}.md
Privacy check passedSkill file contains no `apiKeytokensecret`

Usage Example

Scenario: Missing API Key Blocks Task

1. Diagnose:

Blocker: Missing Brave API key
Attempted: web_search (failed)
Unblock Input: User runs `openclaw configure --section web`

2. Extract Pattern:

Failure Pattern: missing-api-key
Trigger: Tool requires unconfigured API key
Solution: 1. Detect missing key 2. Return config command 3. Provide fallback

3. Crystallize Skill:

# Missing API Key Recovery

## Trigger
When tool returns "missing_*_api_key" error

## Steps
1. Extract required key name
2. Return config command: openclaw configure --section {section}
3. Provide manual fallback option

## Verification
- [ ] User receives clear config instructions
- [ ] At least 1 alternative provided

4. Verify: Next time an API key issue occurs, auto-apply this skill.

Heartbeat Integration

Add to HEARTBEAT.md:

## Self-Check (Every 24 Hours)
1. Check `memory/blocked-items.md` for blockers older than 24h
2. Run phoenix-loop diagnosis on each long-term blocker
3. If reusable pattern found, create or update skill

Rollback

If the skill causes issues:

# Disable skill (rename)
Rename-Item skills/local/{name}-recovery.md skills/local/{name}-recovery.md.disabled

# Delete skill
Remove-Item skills/local/{name}-recovery.md

References

  • memory/blocked-items.md - Blocker records
  • memory/tasks.md - Task history
  • skills/local/ - Local skill library

Rise stronger from every failure.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

80.2%
按下载量换算3,625

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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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