alfworld-search-verifier

alfworld-search-verifier is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 75 tokens per session (705 once invoked), scanned A, original, MIT.

A search-checking procedure for virtual rooms that revisits containers you already inspected to look for a missed object.

In plain words
What is it for?
It helps recheck drawers, shelves, cabinets, and other containers, including reopening ones that were closed, before declaring a search unsuccessful.
Why use it?
It reduces the chance of wrongly deciding an object is unavailable after an incomplete first search.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps recheck drawers, shelves, cabinets, and other containers, including reopening ones that were closed, before declaring a search unsuccessful.

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Install with agentmods
npx agentmods add skills/zjunlp/skillnet/alfworld-search-verifier
About the project

SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.

zjunlp/SkillNet · 1,254 stars · on GitHub · skillnet.openkg.cn

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zjunlp/SkillNet --skill alfworld-search-verifier
Clone the repo
git clone --depth 1 https://github.com/zjunlp/SkillNet

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for alfworld-search-verifier

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-search-verifier.svg)](https://agentmods.dev/skills/zjunlp/skillnet/alfworld-search-verifier)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-search-verifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-search-verifier.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 705 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 36
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.00705
Opus 5 $0.00037 $0.00352
Sonnet 5 $0.00015 $0.00141
Haiku 4.5 $0.00007 $0.00071

Measured 8d ago against content hash b4dfb3878baf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

alfworld-search-verifier scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

experiments/src/skills/alfworld/alfworld-search-verifier/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 46 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 46 lines · 75 tokens per session scan A b4dfb3878baf

Subscribe to this mod's changes

alfworld-search-verifier is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 4d ago), licensed MIT. It adds 75 tokens to every session and 705 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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