← 返回 Skills 市场
111
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install xiaowuzi-gene-optimize
功能描述
专注于压缩提示词Token、调整指令权重及语义对齐，提升本地模型执行效率和指令精准度。
安全使用建议
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 small scale) to confirm behavior. If those answers are acceptable, using it is reasonable; if it needs access to logs or files, restrict that access or review what is being read first.
功能分析
Type: OpenClaw Skill
Name: xiaowuzi-gene-optimize
Version: 1.0.0
The skill bundle consists of metadata and a descriptive markdown file (SKILL.md) outlining a conceptual framework for optimizing AI prompt 'genes' (instructions). There is no executable code, shell commands, network requests, or evidence of malicious intent; the content is focused entirely on improving model performance and token efficiency.
能力评估
Purpose & Capability
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.
Instruction Scope
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.
Install Mechanism
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.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no disproportionate credential requests relative to its purpose.
Persistence & Privilege
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install xiaowuzi-gene-optimize - 安装完成后，直接呼叫该 Skill 的名称或使用
/xiaowuzi-gene-optimize触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
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.
元数据
常见问题
小五子 - 基因优化 是什么？
专注于压缩提示词Token、调整指令权重及语义对齐，提升本地模型执行效率和指令精准度。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 111 次。
如何安装 小五子 - 基因优化？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xiaowuzi-gene-optimize」即可一键安装，无需额外配置。
小五子 - 基因优化 是免费的吗？
是的，小五子 - 基因优化 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
小五子 - 基因优化 支持哪些平台？
小五子 - 基因优化 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 小五子 - 基因优化？
由 tonicpopo（@tonicpopo）开发并维护，当前版本 v1.0.0。
推荐 Skills