scienceworld-living-entity-identifier

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.

Quality

86%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

90%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is lean, actionable, and clearly sequenced with concrete commands and a worked example. The main gap is that the provided reference files are not surfaced from the body, and the workflow lacks an explicit verification checkpoint before the focus action.

Suggestions

Add one-level-deep links to the existing reference files, e.g. 'See [living_indicators.md](references/living_indicators.md) for the full indicator list and parsing rules' under Core Workflow, to improve navigation and progressive disclosure.

Insert an explicit validation checkpoint before focusing, e.g. 'Confirm the candidate matches a known living indicator (see living_indicators.md) before running `focus on`.', to strengthen workflow clarity.

Reference [action_sequences.md](references/action_sequences.md) from the Example or Key Actions section so the standard transport flow is discoverable rather than only summarized inline.

Dimension	Reasoning	Score
Conciseness	The body is lean and well-organized with no padding or explanation of concepts Claude already knows; every section (Purpose, Core Workflow, Key Actions, Example, Important Notes) earns its place. It does not reach into verbosity, matching the 'lean and efficient' anchor.	5 / 5
Actionability	Provides copy-paste-ready commands (`look around`, `focus on [IDENTIFIED_OBJECT]`, `pick up [OBJECT]`, `move [OBJECT] to [CONTAINER]`, `teleport to LOC`) plus a fully worked example with a concrete object ('dove egg'), covering the common case.	5 / 5
Workflow Clarity	A clear 4-step sequence with a worked example and prioritization guidance in Important Notes serves as an implicit checkpoint, but there is no explicit 'confirm the candidate is actually living before focusing' validation step, fitting 'clear sequence with most checkpoints, minor validation gaps' rather than the full feedback-loop 5.	4 / 5
Progressive Disclosure	Sections are well-organized and the body is appropriately concise (under 50 lines), but the existing reference files (living_indicators.md, action_sequences.md) containing useful detail (indicator lists, parsing rules, action sequences) are not linked or signaled from the body, leaving a minor navigation gap that keeps it below 5.	4 / 5
	Total	18 / 20 Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it states concrete capabilities, provides explicit 'Use when' trigger guidance, and carves out a distinctive niche. It falls just short of top marks on specificity, trigger coverage, and distinctiveness due to minor synonym and overlap gaps.

Dimension	Reasoning	Score
Specificity	Names the domain (eggs, plants, animals) and several concrete actions — 'Analyzes room observations to identify potential living things', 'flags candidate living items', 'outputs a focused target' — with only minor coverage gaps, fitting the 'several specific actions' anchor rather than the fully comprehensive 5.	4 / 5
Completeness	Explicitly answers both what ('Analyzes room observations...', 'flags candidate living items', 'outputs a focused target') and when ('Use this skill when a task involves finding, focusing on, or interacting with a living thing...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural phrases a user would say — 'living thing', 'biological entity', 'organism', 'finding, focusing on, or interacting' — but lacks a few common synonyms/variations, matching the 'good keyword coverage, a few natural terms missing' anchor.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (living-entity identification in ScienceWorld rooms) with distinct triggers and minimal conflict risk, though it could overlap slightly with generic object-finding skills, fitting the 'mostly distinct, minor overlap' anchor.	4 / 5
	Total	17 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: zjunlp/SkillNet
Path: experiments/src/skills/scienceworld/scienceworld-living-entity-identifier/SKILL.md
Commit: 076c6df

Reviewed: 6 days ago

Table of Contents

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