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      kennyzir

      Safety Report

      Self Improving Agent

      @kennyzir

      Local skill for capturing learnings, errors, corrections, and patterns to enable continuous agent improvement. Processes events locally in your OpenClaw agen...

      865Downloads
      3Installs
      0Stars
      3Versions
      Calendar & Scheduling3,358Education & Learning2,329Legal & Compliance2,019

      Security Analysis

      high confidence
      Clean

      The skill's code and runtime instructions are consistent with its stated purpose: local, stateless processing of agent events into insights and suggested rules with no external calls or credential requirements.

      Mar 22, 20262 files
      Purpose & Capabilityok

      The name/description (self-improvement via local event processing) matches what is implemented: a TypeScript handler that accepts events, infers severity, extracts tags, generates insights and suggested rules. There are no unexpected required binaries, env vars, or external integrations declared.

      Instruction Scopeok

      SKILL.md instructs the agent how to submit events and how to use returned entries; the handler.ts implements only event validation, local analysis, and summary building. There are no instructions to read unrelated files, access other system state, or transmit data to external endpoints.

      Install Mechanismok

      No install spec is present (instruction-only install via openclaw CLI), and the included handler.ts is pure local code. Nothing is downloaded from external URLs or installed to nonstandard locations.

      Credentialsok

      The skill declares no environment variables, no primary credential, and the code does not read process.env or any credential/config paths. Requested access is minimal and proportional to the stated functionality.

      Persistence & Privilegeok

      always is false; the skill is stateless by design and returns entries to the caller. It does not persist data, modify other skills, or require elevated/system-wide privileges.

      Guidance

      The skill appears coherent and implements only local processing of events. Before installing, review the included handler.ts yourself (or have someone you trust do so) because the package's source/homepage is unknown — even benign-looking code should be vetted. If you plan to record long-term history, note the skill is stateless and you must store entries yourself. As a precaution, test the skill in a sandbox or with non-sensitive example events to confirm it behaves locally and that your OpenClaw runtime enforces no unexpected network access.

      Latest Release

      v1.0.2

      Self-Improving Agent Pro v1.0.2 — Now fully local, no external API or key needed - Processes all learning, error, and correction events entirely within your OpenClaw agent (no API calls, no outbound data, no API key required). - Guarantees privacy and zero network dependency—your agent’s data never leaves your environment. - Updated documentation for local installation, usage, and examples in OpenClaw. - All event analysis, tagging, and rule suggestions now run offline for instant feedback. - Maintains the same structured insights and batch summaries as before, but powered purely by local processing.

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      Published by @kennyzir on ClawHub

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