lark-openapi-explorer
飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
66
82%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
SKILL.md:41-68 describes runtime WebFetch of outsider-authored public markdown from Feishu/Lark open documentation (e.g., https://open.feishu.cn/llms.txt and specific .md pages), which would be readable text ingested into the agent to derive API specs, enabling indirect prompt injection.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill explicitly uses WebFetch at runtime to retrieve remote OpenAPI documents (e.g., https://open.feishu.cn/llms.txt and the linked https://open.feishu.cn/document/server-docs/.../<api>.md), and then parses and follows those fetched documents to form prompts and invoke APIs, so the external content directly controls agent behavior.
- Repository
- larksuite/cli
- Commit
a7865cd
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.