Agent skill · Workflow & Productivity

alfworld-search-verifier

Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items. Use when an initial search fails to find enough objects or when double-checking is required before concluding task failure. Systematically revisits receptacles, re-opens closed containers, and re-inspects contents to ensure no viable location was missed.

zjunlpgithub.com/zjunlpGitHub ↗
claude-codeMIT
Install
npx skills add zjunlp/SkillNet --skill alfworld-search-verifier --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: experiments/src/skills/alfworld/alfworld-search-verifier/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,117
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Instructions **Trigger Condition:** Use this skill when an initial search for a target object (e.g., `cellphone`) has been performed but the required quantity has not been found, or when you need to verify that no viable location was missed before task failure. ## Core Procedure 1. **Initialize Tracking:** Maintain a mental or explicit list of all receptacles (`recep`) you have already visited during your initial search (e.g., `sidetable 1`, `shelf 1-8`, `drawer 1`, `drawer 2`, `desk 1`). 2. **Systematic Revisit:** Do not search new, unvisited locations. Instead, systematically return to each previously visited receptacle in a logical order (e.g., by proximity or by the original search sequence). * **Action:** Use `go to {recep}` to navigate. * **For Closed Receptacles:** If a receptacle was closed during the initial search and you opened it, it may be closed again. Re-open it to verify its contents. * **Action:** Use `open {recep}`. * **For Open/Empty Receptacles:** Observe the contents again. The state may have changed, or an item may have been overlooked. * **Action:** No action needed; read the `Observation`. 3. **Verification Logic:** For each revisited location: * If the ta

What's inside
Steps it walks through
  1. Core Procedure
  2. Example
  3. Thought Process Template
Ships with 1 file
  • references/alfworld_actions_ref.md
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About this skill
What does the alfworld-search-verifier skill do?

Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items. Use when an initial search fails to find enough objects or when double-checking is required before concluding task failure. Systematically revisits receptacles, re-opens closed containers, and re-inspects contents to ensure no viable location was missed.

How do I install it?

Run `npx skills add zjunlp/SkillNet --skill alfworld-search-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.

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