Use when writing an OpenCLI adapter for a new site or adding a new command to an existing site. Guides end-to-end from first recon through field decoding, adapter coding, and verify. Replaces opencli-oneshot / opencli-explorer. For ad-hoc browser driving (no adapter), see opencli-browser instead; for a top-level orientation to opencli, see opencli-usage.
74
92%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
Detected sensitive credentials directly embedded within the skill content, such as API keys, access tokens, private keys, or service-specific secrets. Secrets should never be hardcoded in plain text within skill instructions.
I flagged a literal high-entropy token string used as a request parameter. It appears as a concrete value (bd1d9ddb04089700cf9c27f6f7426281) rather than a placeholder or truncated/redacted marker, and it is used as an access token parameter (`ut=...`) in example request code and the site-memory note. Per the secret definition (high-entropy literal that grants access), this qualifies as a secret to surface. I did not flag names like cookie keys (e.g., `xq_a_token`) or generic User-Agent strings because they are not literal secrets/credentials. No other high-entropy credentials were found.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
该 skill 的运行路径在 Step 3/4/5 期间会通过 `opencli browser analyze/network/eval` 读取站点网页的网络响应、内联 state 或 bundle 内容(属于公共 web 内容/站点返回的文本),并把这些证据(如 endpoint 候选、样本形状、replay 结果)作为给 LLM 的工作上下文/strategy note 输入,从而存在间接 prompt injection 风险。
64e6f0e
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