scienceworld-object-locator SKILL.md skillA

scienceworld-object-locator from zjunlp/skillnet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zjunlp/skillnet/scienceworld-object-locator@git:20260316.1c3faca

Pins git:20260316.1c3faca in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zjunlp/skillnet
Path
experiments/src/skills/scienceworld/scienceworld-object-locator/SKILL.md
Versions recorded
2
Latest version
git:20260316.1c3faca, committed Mar 16, 2026
First version recorded
Mar 7, 2026
Size
2,747 bytes
Repository stars
1,449
License
MIT

Searches for a specific target object across multiple rooms by systematically teleporting to likely locations and examining each room. Use this skill when you need to find an object whose exact location is unknown. Iterates through candidate rooms using teleport and look around, checks for the object, and continues until found, returning the object's location.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Instructions

## Purpose
Locate a specific target object within the ScienceWorld environment when its location is unknown.

## Inputs
- **Target Object:** The name of the object to find (e.g., "thermometer", "metal fork").
- **Candidate Rooms (Optional):** A list of room names to search. If not provided, the skill will use a default priority list based on common object locations.

## Core Process
1.  **Initialize:** Receive the target object name.
2.  **Plan Search Order:** Determine the sequence of rooms to search. Use the provided `prioritize_rooms.py` script to generate an optimal search order based on the target object.
3.  **Execute Search Loop:**
    a. Teleport to the next room in the search order.
    b. Use the `look around` action to observe the room's contents.
    c. Parse the observation to check for the presence of the target object.
    d. If the object is found, **stop the search** and output its location.
    e. If the object is not found, proceed to the next room.
4.  **Output:** Report the room where the object was found. If the object is not found after searching all candidate rooms, report this failure.

## Key Actions
- `teleport to <ROOM_NAME>`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zjunlp/skillnet/scienceworld-object-locator@sha256:825cd9821dc1c757

The line at the top of this page pins the label git:20260316.1c3faca, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2toxgxlcpnfoh3q5.svg)](https://markdownregistry.com/a/art_2toxgxlcpnfoh3q5)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 7, 2026 and Mar 16, 2026, about one every 9 days.

versioncommittedcommitsizeaudit
git:20260316.1c3faca latest2026-03-16 1c3faca 2,747 BA view · diff
git:20260307.388baa32026-03-07 388baa3 2,472 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2747 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zjunlp/skillnet · 1,449 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2toxgxlcpnfoh3q5
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-object-locator
GET https://markdownregistry.com/api/v1/blob/825cd9821dc1c757f2a297112fc7255cef674f680cbe8301c810b3e0f09f1161

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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