scienceworld-task-focuser SKILL.md skillA

scienceworld-task-focuser 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-task-focuser@git:20260316.e08426e

Pins git:20260316.e08426e 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-task-focuser/SKILL.md
Versions recorded
2
Latest version
git:20260316.e08426e, committed Mar 16, 2026
First version recorded
Mar 7, 2026
Size
2,669 bytes
Repository stars
1,449
License
MIT

Use when the agent needs to direct attention to a specific object in the environment or inventory before performing a critical action such as measuring, using, or connecting. This preparatory "focus on" step signals intent to the ScienceWorld system, often unlocking required state changes for subsequent interactive steps in experimental procedures.

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

# Skill: scienceworld-task-focuser

## Purpose

Formally declare intent to interact with a specific object in the ScienceWorld environment. The `focus on` action is a required preparatory step that signals to the system which object subsequent actions (`use`, `measure`, `connect`) will target, often unlocking necessary state changes or measurement capabilities.

## When to Use

- Before using a measurement tool (e.g., thermometer) on a target object
- Before complex operations such as connecting, mixing, or combining objects
- When a task description explicitly instructs "focus on" an object
- To confirm the correct item is in inventory before proceeding with an action

## Workflow

1. **Identify the target object** -- Determine the exact name as it appears in the environment (e.g., `thermometer`, `metal fork`).
2. **Locate the object** -- Use `look around` or `inventory` to confirm the object's location (environment or inventory).
3. **Execute the focus action** -- Issue the appropriate command:
   - Object in the environment: `focus on <OBJECT_NAME>`
   - Object in inventory: `focus on <OBJECT_NAME> in inventory`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zjunlp/skillnet/scienceworld-task-focuser@sha256:da0965b303260a00

The line at the top of this page pins the label git:20260316.e08426e, 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_ztdwubpw6v4icet3.svg)](https://markdownregistry.com/a/art_ztdwubpw6v4icet3)

1 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.e08426e latest2026-03-16 e08426e 2,669 BA view · diff
git:20260307.388baa32026-03-07 388baa3 2,669 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 (2669 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_ztdwubpw6v4icet3
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-task-focuser
GET https://markdownregistry.com/api/v1/blob/da0965b303260a00c897893b65c0c39b05d3b50877d8025fbb340f3c7e98e266

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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