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Install in OpenClaw
/install auto-repair-agent
Description
Automatically detects and repairs errors in AI agent workflows
README (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 patternsproactive-agent-lite(1.234): Lightweight only, no self-repairmemory-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
Usage Guidance
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.
Capability Tags
Capability Assessment
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.
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-repair-agent - After installation, invoke the skill by name or use
/auto-repair-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Auto Repair Agent?
Automatically detects and repairs errors in AI agent workflows. It is an AI Agent Skill for Claude Code / OpenClaw, with 70 downloads so far.
How do I install Auto Repair Agent?
Run "/install auto-repair-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Repair Agent free?
Yes, Auto Repair Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Repair Agent support?
Auto Repair Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Repair Agent?
It is built and maintained by SKY-lv (@sky-lv); the current version is v1.0.0.
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