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.
Profile →npx skills add zjunlp/SkillNet --skill alfworld-task-verifier --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Skill: Task Verifier for ALFWorld ## When to Use Trigger this skill when: 1. The agent has just completed a key sub-action (e.g., `put {obj} in/on {recep}`) 2. The agent needs to determine whether the overall task goal is satisfied 3. The agent must decide whether to continue searching or conclude the task ## Core Workflow ### 1. Parse the Task Goal Extract from the original task description: - **Target object(s)**: What needs to be found/placed (including quantity) - **Target receptacle**: Where objects must end up - **Required transformations**: Any cleaning, heating, or cooling steps ### 2. Analyze the Observation Evaluate the most recent `Observation:` text from the environment: - Look for evidence that required objects are present in the target receptacle - Count how many target objects have been successfully placed - Note: Other items in the receptacle do not invalidate success ### 3. Make a Verification Decision | Condition | Decision | Output | |-----------|----------|--------| | All required objects confirmed in target receptacle | Complete | `Verification: Task complete. No further action needed.` | | Some but not all objects placed | Incomplete | `Verification: Task in
- When to Use
- Core Workflow
- 1. Parse the Task Goal
- 2. Analyze the Observation
- 3. Make a Verification Decision
- 4. Output Format
- Example
- Error Handling
What does the alfworld-task-verifier skill do?
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.
How do I install it?
Run `npx skills add zjunlp/SkillNet --skill alfworld-task-verifier --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From zjunlp/SkillNet, a repository with 1,117 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.