scienceworld-threshold-evaluator

Use when the agent has just obtained a numerical measurement (temperature, weight, pH) and must compare it against a predefined threshold to determine a binary outcome. This skill extracts the measured value, evaluates it against the threshold condition (above/below), and executes the corresponding branch action such as classification or placement.

Quality

77%

Does it follow best practices?

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Securityby

Passed

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Fix and improve this skill with Tessl

tessl review fix ./experiments/src/skills/scienceworld/scienceworld-threshold-evaluator/SKILL.md

Quality

Content

71%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 well-organized, concise, and actionable with concrete ScienceWorld command examples and a clear workflow. Its main weakness is progressive disclosure: two bundle reference files exist but are not linked from the body, leaving them orphaned and duplicating inlined content.

Suggestions

Link the bundle files from the body — e.g., add a '## References' section pointing to references/usage_examples.md for more cases and references/action_guide.md for action construction, instead of inlining overlapping examples.

Trim the duplicated example content now present both inline and in usage_examples.md so SKILL.md stays a concise overview that defers detail to the reference files.

Add an explicit post-execution validation checkpoint (e.g., 'verify the observation confirms the object moved to the expected box') to strengthen the workflow feedback loop.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes competence (no explanation of what a thermometer or threshold is), with each section earning its place; the fully-quoted dialogue in two examples and some overlap between Examples and Key Principles is minor padding that keeps it just below 5.	4 / 5
Actionability	Provides concrete, executable environment commands (e.g., 'move unknown substance B to orange box') with real observation strings and explicit numeric parsing/comparison; as an instruction-style skill it is actionable, with only minor gaps (no programmatic extraction recipe) preventing a 5.	4 / 5
Workflow Clarity	A clear four-step sequence (Extract → Identify threshold/condition → Evaluate → Execute branch) is laid out, and 'Common Pitfalls' supplies soft error-recovery; it lacks an explicit post-execution validation checkpoint, but the action is a single atomic move rather than a destructive/batch operation, so the destructive-cap rule does not apply.	4 / 5
Progressive Disclosure	Section structure is clean (Purpose, When to Use, Workflow, Examples, Key Principles, Common Pitfalls), but the provided bundle files references/action_guide.md and references/usage_examples.md are never referenced or signaled from the body, and the inlined examples duplicate usage_examples.md — references are present but not clearly linked and content that belongs in separate files is inlined.	3 / 5
	Total	15 / 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 specific, action-oriented, and clearly states both what the skill does and when to use it, with concrete measurement-domain triggers. It is well above average with only minor gaps in action coverage and synonym breadth.

Dimension	Reasoning	Score
Specificity	Names the domain (numerical measurements: temperature, weight, pH) and lists three concrete actions — 'extracts the measured value', 'evaluates it against the threshold condition (above/below)', and 'executes the corresponding branch action such as classification or placement'; falls short of 5 only because coverage of actions is solid but not exhaustive.	4 / 5
Completeness	Explicitly answers both 'what' (extract, evaluate, execute branch action) and 'when' with a concrete 'Use when the agent has just obtained a numerical measurement ... and must compare it against a predefined threshold' trigger clause.	5 / 5
Trigger Term Quality	Includes natural trigger phrases a user would say — 'numerical measurement', 'temperature, weight, pH', 'threshold', 'above/below', 'binary outcome' — giving good keyword coverage; misses some synonyms or alternate phrasings that would push it to 5.	4 / 5
Distinctiveness Conflict Risk	Targets a fairly distinct niche (post-measurement threshold comparison yielding a binary branch), with specific triggers that limit overlap; minor residual overlap with general measurement or sorting skills keeps it just below 5.	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-threshold-evaluator/SKILL.md
Commit: 076c6df

Reviewed: 6 days ago

Table of Contents

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