Agent Optimizer.Skip
v1.0.0V6.1 Agent 性能优化器 - 基于轨迹分析和奖励反馈的轻量级优化框架
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Agent performance optimizer) match the requested binary (python3), the included scripts, and the SKILL.md instructions. All declared requirements are proportionate to the stated purpose.
Instruction Scope
Instructions direct the agent to record full trajectories (inputs, outputs, tool calls, timing) into /workspace/subagents/{agent_id}/optimizer and to read those files for analysis—this is expected for an optimizer but can capture sensitive data (prompts, outputs, user data). There are no external network calls or instructions to read unrelated system files.
Install Mechanism
No install spec; this is an instruction-only skill with two small local Python scripts. Nothing is downloaded or extracted from external URLs.
Credentials
The skill requests no environment variables or credentials. It operates on workspace paths only, which is proportionate to its purpose.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated privileges or modify other skills' configs; it writes only to its own optimizer directory under the agent workspace.
Assessment
This skill appears to do what it says: local trajectory recording, reward logging, and simple analysis using Python. Before installing, review and decide whether storing full inputs/outputs in /workspace/subagents/{agent_id}/optimizer is acceptable (these files can contain prompts, model outputs, or user data). Consider: (1) restricting who/what can read those files, (2) adding retention, redaction or encryption policies, (3) testing the scripts in a safe environment (they are local and have no network calls), and (4) fixing a minor bug in generate_report.py (it uses defaultdict but does not import it). If you need strict data isolation, do not enable this skill until you add access controls or modify it to redact secrets.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
⚡ Clawdis
Binspython3