Scienceworld Living Entity IdentifierSAFE
Create, Evaluate, and Connect AI Skills
Overview
Create, Evaluate, and Connect AI Skills
4501e739125cOBSERVED · 2026-10-12What 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-living-entity-identifier description: Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Use this skill when a task involves finding, focusing on, or interacting with a living thing, biological entity, or organism. Processes observation text, flags candidate living items based on domain knowledge, and outputs a focused target for subsequent actions like focus on or pick up. --- # Skill: Living Entity Identifier ## Purpose Identify living things (eggs, plants, animals) from room observations and focus on them for task progression. ## Core Workflow 1. **Survey Room:** `look around` to get the observation text listing all objects. 2. **Identify Candidates:** Scan the object list for living entity indicators: - **Animals:** dove, giant tortoise, bee, frog, fish - **Eggs:** dove egg, chicken egg, turtle egg - **Plants:** flower, tree, moss, fern, algae - **Other biological:** mushroom, seed, pollen 3. **Focus on Target:** `focus on [IDENTIFIED_OBJECT]` to signal task progress. 4. **Transport (if needed):** `pick up [OBJECT]` then `move [OBJECT] to [CONTAINER]`. ## Key Actions | Action | Purpose | |--------|---------| | `look around` | Survey room for objects | | `teleport to LOC` | Move to rooms with biological likelihood | | `focus on OBJ` | Signal identification to task system | | `pick up OBJ` | Acquire entity for transport | ## Example **Task:** "Find a living thing in the environment." 1. `teleport to outside` 2. `look around` — observation lists: "a dove egg", "a rock", "soil" 3. Identify "dove egg" as the living entity candidate 4. `focus on dove egg` 5. If transport required: `pick up dove egg` then `move dove egg to blue box` ## Important Notes * Prioritize explicit living things (e.g., "dove egg," "giant tortoise") over ambiguous substances (e.g., "air," "water"). * If the current room lacks candidates, `teleport to` rooms with higher biological likelihood: `outside`, `greenhouse`, `bedroom`. * Always use `focus on` immediately after identification — it signals task progress.
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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (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.
4501e739125cfull audit observations/trust-audit/skill/zjunlp__scienceworld-living-entity-identifier.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 4501e739125c | SAFE | B | 89 | first audit |
Questions
What does the Scienceworld Living Entity Identifier skill do?
Create, Evaluate, and Connect AI Skills
Is Scienceworld Living Entity Identifier 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 Living Entity Identifier 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.