rill-model
Detailed instructions and examples for developing model resources in Rill
57
36%
Does it follow best practices?
Impact
96%
1.41xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/rill-model/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 1.00). The SKILL.md explicitly instructs the agent to read and ingest external, potentially public/untrusted content (e.g., read_parquet/read_json/read_csv from s3:// and gs:// paths, the https connector in models/public_dataset.yaml, and ClickHouse s3() examples), so third-party files and URLs can be parsed and directly influence SQL execution, partitions, state, and pre/post-exec behavior.
- Repository
- rilldata/agent-skills
- Commit
e7c833e
- 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.