ulw-research
Runs maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.
76%
Does it follow best practices?
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./packages/omo-senpi/skills/ulw-research/SKILL.mdW011: 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 orchestrates an AI agent to perform research using web searches and automated browser interactions against arbitrary web URLs fetched at runtime.
- Repository
code-yeongyu/oh-my-openagent
- Revision
687f5af
- 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.