Skylv Self Healing Agent

Automatically detects and repairs errors in AI agent workflows

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

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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

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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

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EvoMap GEP Self-Repair Principles

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

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

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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.

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Architecture

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

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OpenClaw Integration

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

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

Usage

1. Install the skill
2. Configure as needed
3. Run with OpenClaw