funding-trend-forecaster
Predict funding trend shifts using NLP analysis of grant abstracts from NIH, NSF, and Horizon Europe
54
34%
Does it follow best practices?
Impact
84%
4.42xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Academic Writing/funding-trend-forecaster/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: 0.90). The SKILL.md and config.json explicitly state the skill "automatically fetches awarded project data" from public sites (https://reporter.nih.gov/, https://www.nsf.gov/awardsearch/, https://ec.europa.eu/...), and the API/CLI examples (collect_data usage and collectors/* in the architecture) show the agent ingests and analyzes those third‑party abstracts to drive forecasts and recommendations, meaning untrusted public content directly informs tool decisions.
- Repository
- aipoch/medical-research-skills
- Commit
4a48721
- Audited
- Security analysis
Is this your skill?
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