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Agent skill

Alfworld Search Verifier

by zjunlp in zjunlp/SkillNet

Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items.

MITAuto-check passedAgent Workflows

Install Alfworld Search Verifier

skills CLI
$ npx skills add zjunlp/SkillNet --skill alfworld-search-verifier -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet alfworld-search-verifier --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/alfworld/alfworld-search-verifier .claude/skills/alfworld-search-verifier && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
alfworld-search-verifier
GitHub stars
1.4k
Token cost
~777 tokens
SKILL.md length
335 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items.

  • Works in 4 steps: Initialize Tracking: Maintain a mental… → Systematic Revisit: Do not search new,… → Verification Logic: For each revisited… → …
  • An initial search fails to find enough objects
  • SKILL.md covers Core Procedure, Example and Thought Process Template
  • Calls go

What it does

Alfworld Search Verifier is an agent skill from zjunlp/SkillNet. 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.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/alfworld_actions_ref.md`).

It sits in Agent Workflows. The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • An initial search fails to find enough objects
  • Double-checking is required before concluding task failure

Example prompts

  • “/alfworld-search-verifier”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Initialize Tracking: Maintain a mental or explicit list of all receptacles (recep) you have already visited during your initial search…
  2. Systematic Revisit: Do not search new, unvisited locations. Instead, systematically return to each previously visited receptacle in a…
  3. Verification Logic: For each revisited location
  4. Conclusion: After revisiting all locations on your list

What it can do on your machine

Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alfworld Search Verifier loads about 777 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~777
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 335 words, ~777 tokens.

Download SKILL.mdSave it as .claude/skills/alfworld-search-verifier/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
alfworld-search-verifier
description
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.

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 target object is now present, retrieve it (take {obj} from {recep}) and proceed with the main task.
    • If the location is confirmed to lack the target object, note it as thoroughly checked and move to the next location on your list.
    • If you encounter a closed receptacle you previously assumed was empty, opening it is a critical verification step.

  4. Conclusion: After revisiting all locations on your list:

    • If the target object was found: Integrate it into your main task plan.
    • If the target object was not found: You can conclusively report that the object is not available in the searched area and adjust your task strategy accordingly (e.g., consider task failure or exploring a new, unsearched area).

Example

Scenario: You need two cellphones but only found one. Revisiting previously searched locations.

Thought: I only found 1 cellphone but need 2. Let me revisit sidetable 1 which I checked earlier.
Action: go to sidetable 1
Observation: On the sidetable 1, you see a cellphone 2, a keychain 1.
Thought: Found cellphone 2! I must have overlooked it during the initial search.
Action: take cellphone 2 from sidetable 1
Observation: You pick up the cellphone 2 from the sidetable 1.

Result: The second cellphone was found by re-examining a previously visited location.

Thought Process Template

When executing this skill, structure your reasoning as follows:

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in experiments/src/skills/alfworld/alfworld-search-verifier of zjunlp/SkillNet.

  • SKILL.md
  • references/alfworld_actions_ref.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Alfworld Search Verifier next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Alfworld Search Verifier compared with similar skills
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Alfworld Search Verifier this skillzjunlp/SkillNet1.4k—~777Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k36 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Alfworld Search Verifier

What does Alfworld Search Verifier do?

Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items. Alfworld Search Verifier is an agent skill from zjunlp/SkillNet. Re-examines previously visited locations to confirm the absence of a target object or to check for overlooked items.

When should I use Alfworld Search Verifier?

Alfworld Search Verifier fits situations like: an initial search fails to find enough objects; double-checking is required before concluding task failure.

How do I install Alfworld Search Verifier in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill alfworld-search-verifier -a claude-code`. Or copy the skill folder (experiments/src/skills/alfworld/alfworld-search-verifier in zjunlp/SkillNet) into .claude/skills/alfworld-search-verifier in your project. Claude Code loads it when a task matches its description.

How do I install Alfworld Search Verifier in Codex?

Run `npx skills add zjunlp/SkillNet --skill alfworld-search-verifier -a codex`. Or copy the skill folder (experiments/src/skills/alfworld/alfworld-search-verifier in zjunlp/SkillNet) into .agents/skills/alfworld-search-verifier in your project. Codex loads it when a task matches its description.

Can I use Alfworld Search Verifier in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill alfworld-search-verifier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alfworld-search-verifier, .gemini/skills/alfworld-search-verifier, .github/skills/alfworld-search-verifier and .opencode/skills/alfworld-search-verifier in your project.

What does Alfworld Search Verifier need to run?

Going by SKILL.md and its folder, Alfworld Search Verifier needs the command-line tools its instructions call (go).

Does Alfworld Search Verifier access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Alfworld Search Verifier safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Alfworld Search Verifier use?

Alfworld Search Verifier is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Alfworld Search Verifier use?

About 777 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 650 tokens, read only when the agent opens those files.

What are the alternatives to Alfworld Search Verifier?

Skills that share tags, products or a category with Alfworld Search Verifier: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alfworld Search Verifier?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.