kaggle-learner
This skill should be used when the user asks to "learn from Kaggle", "study Kaggle solutions", "analyze Kaggle competitions", or mentions Kaggle competition URLs. Provides access to extracted knowledge from winning Kaggle solutions across NLP, CV, time series, tabular, and multimodal domains.
59
70%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/kaggle-learner/SKILL.mdLow
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
The required workflow involves ingesting competition-winning solution writeups (“前排方案详细技术分析”/code/templates) that are extracted from Kaggle competition pages at runtime and then placed into the skill’s knowledge markdown files; this is outsider-authored free text coming from Kaggle (public web content) into the LLM context via the kaggle-miner extraction + knowledge base update path.
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 includes runtime web-scraping code that fetches AoPS content from https://artofproblemsolving.com and then injects that fetched content into LLM prompts (build_openmath_dataset -> llm_extract/generate_tir_from_solution), so the external URL is used at runtime to control prompts.
- Repository
- Galaxy-Dawn/claude-scholar
- Commit
2f7766f
- Audited
- Security analysis
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