T09 · Insecure Skill Coding Practices
- Location
scripts/immersion.py:401- Finding
CSV Formula Injection Through Untrusted Subtitle Context
- Content
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- Remediation
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Security audit
Security checks for vulnerabilities and agentic risk
This is a coherent local subtitle-analysis skill, with a caution that CSV exports can carry unsafe spreadsheet formulas from untrusted subtitle text.
Reasonable to install for local subtitle-to-flashcard workflows. Use subtitle files you trust when exporting CSV, or inspect/sanitize CSV output before opening it in Excel, Google Sheets, or similar tools; JSON or Anki TSV output is preferable when handling untrusted subtitles.
scripts/immersion.py:401CSV Formula Injection Through Untrusted Subtitle Context
The skill documentation instructs users to run commands that read subtitle files and write output decks, but the manifest does not declare any explicit tool scope or permissions. That mismatch weakens reviewability and least-privilege controls: an agent could be granted broader file access than necessary, and consumers cannot easily verify what filesystem operations the skill expects.
This section uses prescriptive language to require a specific language/locale behavior: subtitles must be in the target language, and native-language subtitles are explicitly marked 'Incorrect.' Under the policy, forcing a language choice without user opt-in is a natural-language policy violation.
This skill is explicitly multilingual, but the top-level examples and defaults emphasize English usage and include --language en as the recurring example without any natural-language notice that users can choose another supported language. While not a hard restriction, this can be read as privileging a specific language/locale in the skill's user-facing guidance.
No suspicious patterns detected.