Self-Evolving Skill pattern validation: 5-round experiment results
Experiment setup and results
A developer conducted a 5-round experiment to validate the Self-Evolving Skill design pattern for Claude Code, which was previously shared. The experiment used a MySQL database with 29 tables and 590MB of data from a smart building management system.
The rounds followed this progression: structure exploration → data queries → rule discovery → complex investigation → repeat verification.
Key findings
- Five-Gate rejection rate: 63.6% — most interactions produced no knowledge change
- Incremental convergence: +75 → +46 → +12 → +21 → +1
- Gate 2 self-correction: The pattern caught and fixed 2 erroneous rules that the Skill had written in earlier rounds
- Round 5: Zero exploration steps, direct template reuse
- Accuracy: 100% — no incorrect knowledge survived the process
An unexpected finding was that tool usage pitfalls were captured as a high-value byproduct — issues the developer didn't design for but the Five Gates caught anyway.
The developer has a second experiment in progress on a larger telecom billing database. Full data with per-round diffable snapshots is available on GitHub.
📖 Read the full source: r/ClaudeAI
👀 See Also
WinRemote MCP: Open Source MCP Server for Full Control of Windows Desktops
WinRemote MCP provides AI agents with full control over Windows desktops, allowing for UI detection, file operations, registry access, and more, utilizing over 40 tools.
TruthGuard: Shell Script Hooks That Catch AI Coding Agent Lies
TruthGuard is an open-source tool that uses shell script hooks to verify what Claude Code and Gemini CLI actually do versus what they claim. It catches phantom edits, exit code lies, dangerous shortcuts, and blocks commits when tests fail.
Qwen 3.6 27B hits 2.5x speed with MTP speculative decoding on llama.cpp
A Reddit user reports 2.5x faster inference on Qwen 3.6 27B using MTP speculative decoding with a custom llama.cpp PR, achieving 28 tok/s on Mac M2 Max 96GB. Includes pre-converted GGUF quants and fixed chat templates.
ClawWatcher Reaches 200 Users, Reports $28K+ in Collective OpenClaw API Savings
ClawWatcher, a tool that tracks OpenClaw API costs in real-time, has reached 200 users. According to its creator, users have collectively saved over $28,000 in API costs, with an average cost reduction of 45%.