伐谋 - 实验结果渲染
v1.0.0为 FaMou 进化算法生成可行解的 Python 代码解生成可视化结果页面。当用户提到"FaMou 可视化"、"把这个解可视化"、"可行解结果展示"、"evolution 结果"、"evolve 可视化"，或者提供了 Python 代码形式的问题解（路径规划、排课、背包、TSP、调度、机器学习等）需要直观展示效...
⭐ 0· 306·0 current·0 all-time
byFaMou@zhaom0
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (FaMou solution visualization) match the instructions: the skill only needs to read a Python solution and problem description and produce an HTML visual. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
SKILL.md directs the agent to read user-supplied Python code and extract literal data (coordinates, schedules, etc.) and to generate a HTML file. It explicitly says not to execute Python code, and it does not instruct reading other system files or environment variables. Note: the skill is prescriptive about triggering on certain user phrases, which is a functional design choice but not a security concern by itself.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal disk footprint and no downloads. The generated HTML relies on public CDNs at runtime (React, Tailwind, Google Fonts, Babel), which is a functional dependency but not an installer risk.
Credentials
No environment variables, credentials, or config paths are requested. The only external network activity implied is the HTML page loading CDN assets when opened — not the skill itself contacting external APIs.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes. It writes an output file (famou_viz_result.html) per its purpose, which is proportionate. Autonomous invocation is allowed by platform default but not escalated by this skill.
Assessment
This skill appears coherent and low-risk: it parses Python solution code you provide (it states it will not execute that code) and writes a self-contained HTML visualization that loads common libraries from CDNs. Before using it, do not include secrets or sensitive credentials inside the Python code you submit (those literal values could be embedded into the generated HTML). If you prefer no external requests when opening the page, host the JS/fonts locally or replace CDN links. Finally, review the generated HTML before sharing it publicly to ensure no unintended data was included.Like a lobster shell, security has layers — review code before you run it.
latestvk979mvcbxf9gaeh3pfndax92k182ve4a
License
MIT-0
Free to use, modify, and redistribute. No attribution required.