rill-model
Detailed instructions and examples for developing model resources in Rill
62
43%
Does it follow best practices?
Impact
94%
1.32xAverage 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: 0.80). The SKILL.md explicitly instructs and examples show ingestion of open public sources (e.g., read_parquet('s3://my-bucket/...'), gs:// paths, and an HTTPS public Parquet example "uri: https://example.com/public/dataset.parquet") so the agent would read and act on untrusted third‑party content that could influence execution.
- Repository
- rilldata/agent-skills
- Commit
65ccd1f
- 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.