Deep web research for VCO: multi-hop search+browse+extract with an auditable action trace and a structured report (WebThinker-style).
58
66%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./bundled/skills/webthinker-deep-research/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The workflow scaffolds a deep-research workspace that later (per SKILL.md’s Mode A) uses web search/browse/extract tools whose fetched page text would be incorporated into the agent/LLM context; while `init_webthinker_run.py` itself does no web search, the required runtime flow described for the skill enables outsider-authored free text ingestion via runtime web content/extraction.
d5ae560
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.