Atlas / Skills / zjunlp / Scienceworld Conditional Focus Executor

Scienceworld Conditional Focus ExecutorSAFE

skills/zjunlp/scienceworld-conditional-focus-executor

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-conditional-focus-executor
description: Executes a 'focus on OBJ' action on a specific object based on the outcome of a prior conditional evaluation. Use when you have a measurement result and task instructions specify focusing on different objects (e.g., colored boxes) depending on whether the result meets a threshold.
---
# Conditional Focus Executor

## When to Use
Use after completing a measurement (temperature, pH, mass) when the task specifies a conditional rule like "If result > X, focus on A; otherwise, focus on B."

## Procedure
1. **Evaluate the condition** against your measurement result.
2. **Determine the target object** based on which branch is true.
3. **Execute:** `focus on <TARGET_OBJECT>`
4. **Verify:** Confirm the focus action succeeded before proceeding.

If the focus action fails (e.g., object not found), use `look around` to verify the target object name matches exactly.

## Example
**Task:** "If the temperature of the substance is above 50C, focus on the red box. Otherwise, focus on the blue box."
1. Measurement result: 63C
2. Evaluation: 63 > 50 is true → target is red box
3. Execute: `focus on red box`
4. Observation: "You focus on the red box." → task complete.
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-conditional-focus-executor.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 Conditional Focus Executor skill do?

Create, Evaluate, and Connect AI Skills

Is Scienceworld Conditional Focus Executor 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 Conditional Focus Executor 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.

Advertisement