scienceworld-conditional-placer SKILL.md skillA

scienceworld-conditional-placer 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-conditional-placer@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-conditional-placer/SKILL.md
Versions recorded
2
Latest version
git:20260316.1c3faca, committed Mar 16, 2026
First version recorded
Mar 7, 2026
Size
2,245 bytes
Repository stars
1,449
License
MIT

Places an object into one of several designated containers based on a measured condition, such as a temperature threshold. Use this skill when you have completed a measurement or assessment and the task requires sorting or storing the object into one of multiple containers according to a rule (e.g., "if temperature > X, place in container A; otherwise container B").

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: Conditional Object Placer

## Purpose
Place a target object into the correct container based on a measured condition (e.g., temperature threshold, conductivity result). This skill executes the full measure-then-sort workflow.

## Core Workflow
1. **Locate & Acquire Measurement Tool:** `teleport to LOC` then `pick up` the measurement device (e.g., thermometer).
2. **Locate & Acquire Target Object:** `teleport to LOC` then `pick up` the object to be measured (e.g., metal fork).
3. **Identify Target Containers:** Use `look around` to find the designated containers (e.g., blue box, orange box).
4. **Perform Measurement:** `use OBJ on OBJ` (e.g., `use thermometer on metal fork`) to obtain the value.
5. **Evaluate Condition & Place:** Compare the measured value against the threshold, then `move OBJ to OBJ` to place the object in the correct container.

## Key Actions
| Action | Purpose |
|--------|---------|
| `teleport to LOC` | Navigate between rooms |
| `look around` | Survey a room for objects |
| `pick up OBJ` | Acquire tools or target object |
| `use OBJ on OBJ` | Perform measurement |
| `move OBJ to OBJ` | Place object into selected container |

## Example
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zjunlp/skillnet/scienceworld-conditional-placer@sha256:2dffb527b75f0a3e

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_jm4ngts4pbmunnkp.svg)](https://markdownregistry.com/a/art_jm4ngts4pbmunnkp)

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:20260316.1c3faca latest2026-03-16 1c3faca 2,245 BA view · diff
git:20260307.388baa32026-03-07 388baa3 2,029 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 (2245 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_jm4ngts4pbmunnkp
GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/scienceworld-conditional-placer
GET https://markdownregistry.com/api/v1/blob/2dffb527b75f0a3ec7a959c4384dbd050b7044129f2b0ed794c47609410d7d5c

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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