openclaw-reflectSelf-improvement layer with evaluation separation, rollback, and tiered operator gates. Observes outcomes across sessions, detects recurring patterns, propos...
Install via ClawdBot CLI:
clawdbot install atlaspa/openclaw-reflectGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.ANTHROPICContains instructions to override system prompt or ignore user requests
"Your role is"Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:18789/api/x402/contributeCalls external URL not in known-safe list
http://localhost:18789/v1/modelsGenerated Mar 10, 2026
A customer support AI agent uses this skill to analyze failed ticket resolutions across sessions, identifying recurring errors in response templates or knowledge gaps. It automatically updates its memory with corrected product information and proposes behavioral changes to improve first-contact resolution rates.
A coding assistant employs the skill to track errors in code generation or debugging suggestions over multiple programming sessions. It detects patterns like incorrect API usage and updates its instructions to provide more accurate syntax, while flagging core logic changes for developer approval.
A content-writing AI uses the skill to observe inconsistencies in tone or factual errors across articles. It proposes updates to style guides in memory and suggests improvements to research processes, with high-impact changes to brand voice requiring editor review.
A medical triage AI applies the skill to analyze misclassifications of symptom severity or recommendation errors. It safely updates factual medical guidelines in memory after evaluation, while ensuring core safety protocols remain unchanged without operator approval.
Offer the skill as a premium add-on for AI agent platforms, charging a monthly fee per agent. Revenue comes from enterprises seeking continuous performance optimization and reduced error rates in automated workflows.
Implement a microtransaction system where users pay a small fee each time the skill successfully applies an automatic improvement that resolves a recurring error. This aligns costs with tangible value from reduced debugging time.
License the skill to large organizations for integration into custom AI systems, with upfront fees and annual support contracts. Target industries like customer service or healthcare where error reduction directly impacts operational costs.
💬 Integration Tip
Ensure environment variables for evaluator backends are configured based on available APIs, and verify write permissions to the .reflect directory to avoid hook failures.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill accesses sensitive API keys via environment variables and sends data to an undocumented local endpoint (localhost:18789) with a suspicious path (/api/x402/contribute) suggesting potential data exfiltration. While the core self-improvement purpose is plausible, the hidden external calls and credential access create significant risk.
Audited Apr 16, 2026 · audit v1.0
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