Atlas / Skills / zjunlp / Scienceworld Planting Coordinator

Scienceworld Planting CoordinatorSAFE

skills/zjunlp/scienceworld-planting-coordinator

Create, Evaluate, and Connect AI Skills

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
1,402
01

Overview

Create, Evaluate, and Connect AI Skills

Read from source at commit 4501e739125cOBSERVED · 2026-10-12
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: scienceworld-planting-coordinator
description: This skill plants a seed or small plant into a suitable growth container (e.g., a flower pot with soil and water). It should be triggered when the agent has acquired a seed and needs to initiate the plant growth process by placing it into a prepared environment. The skill coordinates the 'move' action to transfer the seed from inventory to the target container, resolving any ambiguity if multiple instances exist.
---
# Planting Coordinator Skill

## Purpose
This skill orchestrates the initial planting action to begin a plant growth process. It handles the transfer of a seed from the agent's inventory into a suitable growth container (e.g., a flower pot containing soil and water).

## When to Use
- **Trigger Condition:** The agent has acquired a seed (or small plant) and is in a location containing a suitable growth container.
- **Goal:** Initiate the biological growth process by placing the seed into a prepared environment.

## Core Procedure
1.  **Locate Target Container:** Identify a suitable container in the current environment. A valid container must contain both `soil` and `water` substances.
2.  **Execute Transfer:** Perform a `move` action to transfer the seed from your inventory to the target container.
3.  **Handle Ambiguity:** If the action parser returns an ambiguous request (listing multiple identical action options), select the first option (index `0`) to proceed. This resolves the ambiguity deterministically.
4.  **Signal Intent:** After successful planting, use `focus on [seed]` to signal monitoring intent for the growth task.

## Key Notes
- This skill assumes the seed is already in the agent's inventory.
- The skill does not handle locating or acquiring the seed, nor the subsequent growth stages after planting.
- The primary complexity managed is the deterministic resolution of ambiguous `move` actions.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-12 · audit v0.4.1 · source sha 4501e739125cfull audit observations/trust-audit/skill/zjunlp__scienceworld-planting-coordinator.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-124501e739125cSAFEB89first audit
05

Questions

What does the Scienceworld Planting Coordinator skill do?

Create, Evaluate, and Connect AI Skills

Is Scienceworld Planting Coordinator safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Scienceworld Planting Coordinator access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (4501e739125c), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.

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