clawtrace-self-evolveAsk Tracy to analyze your recent trajectories and improve your agent behavior based on data-driven recommendations.
Install via ClawdBot CLI:
clawdbot install richard-epsilla/clawtrace-self-evolveGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Send → https://api.clawtrace.ai/v1/evolve/ask`.Calls external URL not in known-safe list
https://clawtrace.aiAI Analysis
The skill sends data to an external API, but this is explicitly documented as its core function for performance analysis. The endpoint is consistent with the skill's stated purpose, and authentication uses a user-provided environment variable, not hidden credential harvesting. The primary risk is data exposure to a third-party service, which is inherent to its function.
Audited Apr 17, 2026 · audit v1.0
Generated May 23, 2026
An AI agent uses ClawTrace Self-Evolve to analyze trajectory data after a costly run, identifying token wastage and context window bloat. The agent then applies recommendations to trim conversation history and optimize tool calls, reducing costs by up to 90%.
A customer support AI agent experiences repeated failures in handling refund requests. By invoking the skill, Tracy pinpoints the failing step and suggests a revised handling approach, improving resolution rates and customer satisfaction.
A data analysis agent that runs complex queries periodically asks Tracy to review its last 10 trajectories. Tracy identifies inefficient query patterns and suggests batching requests, leading to faster execution and reduced API costs.
An AI assistant managing multi-session projects uses the skill to detect context window bloat. Tracy recommends trimming historical messages, preventing token overflow and maintaining response quality across sessions.
A workflow automation agent frequently encounters timeouts on external API calls. Tracy analyzes tool call efficiency and suggests caching mechanisms and retry strategies, boosting overall workflow reliability by 40%.
Offer a free tier with basic trajectory analysis up to a certain number of calls per month, then charge per query or subscription for advanced features like session persistence and detailed recommendations.
Provide ClawTrace Self-Evolve as part of an enterprise observability suite, with dedicated support, custom integrations, and analytics dashboards for large-scale AI deployments.
Charge agents on a per-query basis for each invocation of the evolve endpoint, with volume discounts for high-frequency users, appealing to independent developers and startups.
💬 Integration Tip
Integrate the skill by adding the ask_tracy function to your agent's toolset and triggering it after costly runs, failures, or every 5 runs; store the CLAWTRACE_OBSERVE_KEY securely in environment variables.
Scored May 23, 2026
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
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