alfworld-task-verifier
Use when the agent needs to check whether an ALFWorld task objective has been met after completing a sub-action (e.g., placing an object). This skill parses the task goal, evaluates the latest environment observation, and outputs a verification decision — task complete, task incomplete, or action ineffective — to guide the next step.
77
96%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
The skill reads the ALFWorld environment-provided runtime “Observation:” text (including arbitrary natural language descriptions of the world state) to decide task completion, so an outsider who can influence posted environment observations (e.g., via the task/actions feed that generates Observations) can inject free text that the LLM ingests.
- Repository
- zjunlp/SkillNet
- Commit
7bb9a48
- 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.