Algorithm Learning Platform Builder | 算法学习平台构建助手
v1.0.1build interactive algorithm learning pages, comparison pages, and reusable teaching platforms for algorithms. use when chatgpt needs to plan, route, structur...
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by方荣天@doctorfff
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (interactive algorithm teaching pages and platforms) match the provided SKILL.md, templates, and reference documents. There are no unrelated required binaries, env vars, or config paths that would be out-of-scope for this purpose.
Instruction Scope
SKILL.md and the reference files strictly describe planning, page structure, formula explanation patterns, and html generation workflows. Instructions reference only included reference files and the provided html starter template; they do not direct the agent to read system files, environment variables, or external credentials.
Install Mechanism
This is an instruction-only skill with no install spec (low risk). Note: the included html-starter-template links to third-party CDNs (jsDelivr for Chart.js and MathJax) and README images/sample.zip hosted on GitHub assets; generated demos will cause browser network requests to those hosts unless replaced with local copies.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or system access.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges or modify other skills' configs. Autonomous invocation is allowed by default but is not combined with other red flags here.
Assessment
This skill appears to do what it says: produce structured, interactive algorithm teaching pages and runnable HTML demos. Before installing or using it: (1) review any generated HTML before deploying publicly — the template pulls Chart.js and MathJax from jsDelivr and README assets link to GitHub; if you need offline or locked-down use, replace CDN references with local copies. (2) Do not provide any credentials to the skill — it does not need them. (3) Because the skill can generate runnable code, inspect generated code for inadvertent data leaks (e.g., copied sample data or links) before embedding in production. (4) Check third-party library licenses if you redistribute the generated pages.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.
