发布记录追踪。使用 SQLite 数据库记录所有平台发布内容及其互动数据,按平台分表管理。三大块:与发布技能结合(发布记录 1B;打分+预测 1A 由 content-calibrator 负责)、数据更新、查询与平台设置。
60
72%
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Low
Low-risk findings worth noting
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tessl review fix ./crews/main/skills/published-track/SKILL.mdLow
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.
High likelihood of outsider free-text entering the agent’s LLM context indirectly: `scripts/fetch-retro-data.ts` / `scripts/fetch-xhs-with-xsec.ts` fetches HTML/JSON from public platforms (e.g., XHS via `fetchXhsNoteFromHtml`, YouTube/Twitter via browser hints elsewhere) and may include untrusted user-authored comment text (`comments: ... text`) in stdout JSON; the agent typically reads that tool output and passes it into the LLM context.
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