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Auto Repair Agent

Name: Auto Repair Agent
Author: sky-lv

作者 SKY-lv · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install auto-repair-agent

功能描述

Automatically detects and repairs errors in AI agent workflows

使用说明 (SKILL.md)

skylv-self-healing-agent

EvoMap GEP Self-Repair engine for AI agents. Detects failures, diagnoses root cause, auto-applies fixes, learns from patterns.

Skill Metadata

Slug: skylv-self-healing-agent
Version: 1.0.0
Description: Self-healing engine that detects agent failures, analyzes root causes, auto-applies fixes, and learns from patterns. Built on EvoMap GEP Self-Repair principles.
Category: agent
Trigger Keywords: self-heal, self-repair, error recovery, auto-fix, failure recovery, debug

What It Does

When your AI agent hits an error, instead of failing, it diagnoses → fixes → learns:

# Diagnose an error and get fix suggestions
node self_healing_engine.js analyze "PowerShell AmpersandNotAllowed &"

# Analyze + auto-apply high-confidence fixes
node self_healing_engine.js heal "Version already exists"

# List known fix patterns
node self_healing_engine.js patterns --tag windows

# Learn a new fix pattern
node self_healing_engine.js learn "specific error pattern" "how to fix it"

# Run a command with self-healing monitoring
node self_healing_engine.js watch "node my_agent.js"

# Run built-in test suite
node self_healing_engine.js test

Example Output

## Self-Healing Analysis

Severity: HIGH
Diagnosis: PowerShell does not support & in compound commands

Suggested fixes (by confidence):
  [95%] Use ; instead of &&, or call via cmd /c wrapper
    Example: & cmd /c "echo a && echo b"
    Example: & ping -n 5 127.0.0.1

Built-in Fix Patterns (12 patterns)

ID	Error Type	Confidence	Tags
powershell-ampersand	AmpersandNotAllowed	95%	powershell, windows
git-push-443	GitHub connection timeout	90%	git, network
node-e-flag-parse	Node.js argv parsing	90%	nodejs, windows
clawhub-rate-limit	Rate limit exceeded	95%	clawhub
clawhub-version-exists	Version already exists	95%	clawhub
exec-timeout	Command timeout	85%	execution
json-parse-fail	JSON syntax error	88%	json, encoding
file-exists-check	ENOENT / file not found	90%	filesystem
api-rate-limit-http	429 Too Many Requests	92%	api, network
convex-error	Backend API validation	80%	api, backend
wsl-not-installed	WSL2 not available	90%	wsl, windows
encoding-utf8-gbk	Encoding mismatch	88%	encoding, windows

EvoMap GEP Self-Repair Principles

This skill implements the Self-Repair capability from the EvoMap GEP Protocol:

Auto-Log Analysis — Automatically parses stderr/stdout for error patterns
Root Cause Diagnosis — Matches against known fix pattern database
Auto-Fix Application — Applies fixes when confidence ≥ 85%
Pattern Learning — Learns new patterns from user corrections
Safety Blast Radius — Never applies destructive fixes without confirmation

Real Market Data (2026-04-17)

Metric	Value
Market search	`self heal agent`
Top competitor	`self-healing-agent` (score: 2.294)
Other competitors	`proactive-agent-lite` (1.234), `memory-self-heal` (0.980)
Our approach	EvoMap GEP Self-Repair engine with 12 built-in patterns

Why Existing Competitors Are Weak

self-healing-agent (2.294): Generic concept, no specific fix patterns
proactive-agent-lite (1.234): Lightweight only, no self-repair
memory-self-heal (0.980): Just memory, no actual repair

This skill has a concrete pattern database with 12 battle-tested fixes and a learn-from-corrections loop.

Architecture

self-healing-agent/
├── self_healing_engine.js   # Core engine
├── .self-heal-patterns.json  # Learned patterns (auto-created)
└── SKILL.md

OpenClaw Integration

Ask OpenClaw: "heal this error" or "why did that command fail?"

Built by an AI agent that has made and fixed every error in this database.

Usage

Install the skill
Configure as needed
Run with OpenClaw

安全使用建议

This skill is internally consistent with its purpose, but take these precautions before installing: 1) Review the full self_healing_engine.js (the provided listing was truncated) to confirm there is no hidden code that executes fixes or calls external endpoints. 2) Expect the tool to run whatever command you pass to 'watch' — run it in a sandbox or on non-production workloads first. 3) Learned patterns are persisted to .self-heal-patterns.json in the current directory; ensure that file path and contents are acceptable. 4) Because the engine uses child_process (exec/execSync), verify there is no code path that will execute unreviewed fix commands or escalate privileges automatically. 5) If you plan to use 'heal' or any auto-apply capability, test thoroughly and keep backups; enable interactive confirmation for any destructive actions. If you want higher assurance, provide the maintainer/source and the remainder of the JS file for a full audit.

能力标签

crypto

能力评估

✓ Purpose & Capability

Name/description match the delivered artifacts: a Node.js self_healing_engine.js, pattern DB and SKILL.md describing analyze/heal/watch/learn/test commands. No unrelated env vars, binaries, or network credentials are requested.

ℹ Instruction Scope

SKILL.md instructs running the included Node script (analyze/heal/watch/learn/test). The engine parses stderr/stdout, matches patterns, can learn new patterns and monitors/executes user-supplied commands via child_process. That monitoring/command-execution behavior is expected for a self-healer but expands the attacker surface (it will run whatever command you ask it to watch and may run commands if auto-apply logic is added). The README and SKILL.md also use vague phrases like 'Configure as needed' which grant runtime discretion — review exact code paths where fixes might be applied.

✓ Install Mechanism

Instruction-only install with included JS file; no external downloads, package installs, or extract-from-URL steps were declared. The skill writes a local .self-heal-patterns.json for learned patterns.

✓ Credentials

No environment variables or credentials are requested. The skill stores learned patterns in a local file and uses child_process to run/observe commands, which is proportional to the stated functionality.

ℹ Persistence & Privilege

always is false and the skill does not request broad platform privileges, but it does persist learned patterns to .self-heal-patterns.json in the working directory. This is reasonable, but be aware of local file writes and ensure the location is acceptable for your environment.

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 auto-repair-agent
安装完成后，直接呼叫该 Skill 的名称或使用 /auto-repair-agent 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

skylv-self-healing-agent 1.0.0 – initial release - Automatically detects and repairs errors in AI agent workflows using built-in pattern matching and self-healing automation. - Diagnoses errors, suggests and applies fixes, and learns new solutions from user input. - Ships with 12 battle-tested fix patterns for common issues like PowerShell ampersand errors, API rate limits, and file handling. - Provides both CLI usage (diagnose, auto-heal, pattern learning, and monitoring) and OpenClaw integration. - Emphasizes safety by never applying destructive fixes without confirmation.

元数据

Slug auto-repair-agent

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题