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memory-self-heal记忆自愈

Agent Skill

memory-self-heal 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

20,277

周安装

871

GitHub Stars

1

下载量

7,107
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:memory-self-heal(记忆自愈)
来源仓库:https://github.com/dalomeve/memory-self-heal
安装命令:
openclaw skills install memory-self-heal
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 memory-self-heal

简介

memory-self-heal 提供通用自我修复循环,记录故障模式与安全重试策略。

  • 适用于 OpenClaw 中需要容错与经验沉淀的效率增强场景。
  • 通过 clawhub 安装后,可自动捕获异常并生成修复模板。
  • 安装命令:openclaw skills install memory-self-heal;需定义可重用修复规则集。
  • 建议测试其在高并发或复杂错误下的稳定性表现。

SKILL.md

name
memory-self-heal
version
1.1.0
description
General-purpose self-healing loop that learns from past failures, retries safely, and records reusable fixes.
metadata
openclaw
emoji
[HEAL]
category
resilience

Memory Self-Heal Skill

Use this skill when the agent starts failing repeatedly, stalls, or keeps asking the user for steps that could be inferred from prior evidence.

Goals

  1. Recover execution without user micromanagement
  2. Reuse previous fixes from memory/logs/tasks
  3. Escalate only with minimal unblock input when truly blocked
  4. Leave reusable evidence for future runs

When To Trigger

Trigger when any of these appear:

  • Same or similar error occurs 2+ times in one task
  • Tool call fails due to argument mismatch, missing config, auth wall, or context overflow
  • Agent claims completion without verifiable artifact
  • Task progress stalls (no new artifact across 2 cycles)

Inputs

  • Current task objective
  • Latest error/output
  • Available evidence locations (memory, tasks, logs)

Portable Evidence Scan Order

Scan these in order; skip missing paths silently:

  1. memory/ (or equivalent workspace memory path)
  2. tasks/ or queue files
  3. runtime logs / channel logs
  4. skill docs (skills/*/SKILL.md) for known fallback recipes
  5. core docs (TOOLS.md, CAPABILITIES.md, AGENTS.md)

Shell examples (use whichever shell is active):

# PowerShell
Get-ChildItem -Recurse memory, tasks -ErrorAction SilentlyContinue |
  Select-String -Pattern "error|blocked|retry|fallback|auth|token|proxy|timeout|context" -Context 2
# POSIX shell
rg -n "error|blocked|retry|fallback|auth|token|proxy|timeout|context" memory tasks 2>/dev/null

Failure Classification

Classify first, then act:

  • syntax_or_args: command syntax/argument mismatch
  • auth_or_config: key/token/env/config missing or invalid
  • network_or_reachability: timeout, DNS, handshake, region restrictions
  • ui_login_wall: page requires manual login/attach
  • resource_limit: context window, rate limit, memory pressure
  • false_done: no artifact/evidence but reported complete
  • unknown: no confident class

Recovery Policy (3-Tier)

Attempt 1: Direct Fix

  • Apply best-known fix from memory for same class/signature
  • Re-run the smallest validating action
  • Record result

Attempt 2: Safe Fallback

  • Switch to alternate tool/path with lower fragility
  • Narrow scope (smaller input, shorter query, one target)
  • Re-run validation

Attempt 3: Controlled Escalation

  • Mark blocked with minimum unblock input
  • Provide exact next action user must do (one command or one UI step)
  • Do not loop further until new input arrives

Safety Rules

  • Never auto-run destructive operations without confirmation
  • Never log secrets/tokens in memory files
  • Max 3 retries per blocker signature per task
  • Prefer deterministic steps over broad speculative retries

Completion Contract

Do not claim done unless all are true:

  • At least one artifact exists and is readable (file/link/output)
  • The original task objective is explicitly mapped to artifact(s)
  • No unresolved blocker for current objective

Required output block:

DONE_CHECKLIST
- Objective met: yes/no
- Artifact: <path or URL or command output ref>
- Validation: <what was checked>
- Remaining blocker: <none or exact unblock input>

Memory Writeback Template

Append one concise entry after each self-heal cycle:

## Self-heal: <date-time> <short task>
- Signature: <normalized error signature>
- Class: <classification>
- Attempt1: <action> -> <result>
- Attempt2: <action> -> <result>
- Final: <success | blocked>
- Artifact/Evidence: <path|url|log ref>
- Reusable rule: <one-line rule>

Generic Known Fixes (Seed Set)

  • Command mismatch on Windows: prefer native PowerShell cmdlets
  • Token mismatch/auth failure: verify active config source and token scope
  • WebSocket/timeouts: test reachability + proxy/no_proxy consistency
  • Context overflow: split task into smaller units and reduce payload
  • False completion: enforce artifact validation before final response

Integration Notes

  • Works with autonomy/task-tracker skills but does not depend on them
  • If a project has custom memory paths, adapt scan roots dynamically
  • Keep entries short to avoid memory bloat

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

75.06%
按下载量换算5,335

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install memory-self-heal 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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