by 下载技能包
最后更新
2026/3/28
安全扫描
OpenClaw
安全
high confidenceThis is an instruction-only prompt-optimization module that is internally consistent with its stated purpose and asks for no installs, binaries, or credentials.
评估建议
This skill appears coherent and low-risk: it's a descriptive prompt/weight-tuning helper with no installers or credential needs. Before enabling it widely, ask the author (or your integrator) to clarify: (1) what concrete data sources it will read for 'historical success' feedback (agent logs, task history, user files?), (2) whether it will persist or overwrite any prompts/weights and how rollbacks/audits are handled, and (3) any evaluation/testing you can run on non-sensitive tasks (and on a sm...详细分析 ▾
✓ 用途与能力
The name/description (prompt token compression, weight adjustment, semantic alignment) matches the SKILL.md content. The skill makes no unexpected requests (no env vars, no binaries, no installs), which is proportionate for a prompt-optimization/instruction-tuning helper.
ℹ 指令范围
SKILL.md is high-level/descriptive rather than a runbook: it describes token compression, adaptive weight tuning, and semantic alignment but gives no concrete steps. This is not unsafe by itself, but the wording '根据历史任务的成功率反馈' implies it would use historical success/feedback data — the skill doesn't say where that data comes from or whether it will read logs or user files. Recommend clarifying the data sources and any read/write actions before use.
✓ 安装机制
No install spec and no code files are present, so nothing is written to disk or fetched during install. This is the lowest-risk install profile.
✓ 凭证需求
The skill declares no required environment variables, credentials, or config paths. There are no disproportionate credential requests relative to its purpose.
✓ 持久化与权限
Flags show default behavior (not always:true) and autonomous invocation is allowed by platform default. The skill does not request permanent presence or system-wide config changes in its metadata or instructions.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/3/28
xiaowuzi-gene-optimize 1.0.0 - Initial release introducing a gene optimization module for the Xiaowuzi system. - Implements token compression to reduce redundancy and improve model response speed. - Adds adaptive weighting based on historical task success for more specialized task performance. - Enhances semantic alignment to ensure optimized instructions match model preferences and reduce misinterpretation. - Designed for high-precision scenarios such as quantitative trading signal analysis and strategy simulation.
● 无害
安装命令
点击复制官方npx clawhub@latest install xiaowuzi-gene-optimize
镜像加速npx clawhub@latest install xiaowuzi-gene-optimize --registry https://cn.longxiaskill.com镜像同步中