CtrlK
BlogDocsLog inGet started
Tessl Logo

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.

69

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%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 delivers excellent, immediately executable guidance with an unambiguous workflow and well-chosen examples for a simple skill. Its one real structural weakness is that the two bundle reference files are orphaned — never referenced from SKILL.md, whose examples partially duplicate them — leaving navigation and content splitting underdeveloped.

Suggestions

Add a short '## References' section (or inline links) pointing to references/action_guide.md (action command formats, error recovery) and references/usage_examples.md (additional worked examples and edge cases) so the bundle files are discoverable.

De-duplicate: replace one of the two inline Examples with a pointer to references/usage_examples.md, keeping SKILL.md as a concise overview and moving the extended examples out of the main file.

Trim Workflow step 3 and the Purpose section, which restate the frontmatter description and basic numeric comparison Claude already knows.

DimensionReasoningScore

Conciseness

The body is lean with concrete examples throughout, but minor over-explanation could be trimmed: Workflow step 3 ("Compare: `measured_value > threshold` or `measured_value < threshold`") restates basic numeric comparison Claude already knows, and the Purpose section repeats the frontmatter description. Not 3: there is no padded or generic filler; not 5: the redundancies are real.

4 / 5

Actionability

Fully executable, copy-paste-ready guidance: exact environment commands ("move unknown substance B to orange box"), concrete parse demonstrations ("56 degrees celsius" yields `56`; "above 50.0 degrees" means `threshold=50.0`, `operator=">"`), and two worked examples covering the two most common measurement types. Not 4: no gaps remain for the common cases.

5 / 5

Workflow Clarity

A simple, single-decision skill whose four-step sequence (extract → identify threshold → evaluate → execute branch) is unambiguous, with the equality boundary case explicitly resolved ("above" typically means `>`, not `>=`), the "Immediate execution" and "Premature evaluation" principles acting as validity checkpoints, and pitfalls covering failure modes. No destructive or batch operations, so no validation cap applies.

5 / 5

Progressive Disclosure

The body is well-organized with clear sections, but scored against the actual bundle: references/action_guide.md and references/usage_examples.md exist yet are never linked or signaled anywhere in SKILL.md, and the inline Examples section duplicates usage_examples.md content. This matches anchor 3 ("references present but not clearly signaled; content that should be separate is inline") — not 4 because the references are entirely undiscoverable, not 2 because the inline content is itself reasonably placed and sectioned.

3 / 5

Total

17

/

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.

A strong description with an explicit 'Use when' trigger, concrete named measurement types, and specific chained actions in third-person voice. It falls just short of top marks on trigger synonym coverage and distinctiveness because it never names the target environment and misses common phrasing variations.

DimensionReasoningScore

Specificity

Names several concrete actions — "extracts the measured value", "evaluates it against the threshold condition (above/below)", "executes the corresponding branch action" — with concrete domains (temperature, weight, pH). Minor gaps: "classification or placement" is somewhat abstract compared to the comprehensive level-5 anchor, but coverage clearly exceeds the 1-2 actions of level 3.

4 / 5

Completeness

Explicitly answers both questions: the "what" is the three concrete actions (extract, evaluate, execute branch), and the "when" opens with "Use when the agent has just obtained a numerical measurement (temperature, weight, pH) and must compare it against a predefined threshold" — a concrete trigger phrase. Not 4 because the when-clause is specific rather than merely present.

5 / 5

Trigger Term Quality

Good natural keywords: "numerical measurement (temperature, weight, pH)", "predefined threshold", "above/below" — phrasing a user would plausibly say. A few natural variations are missing (e.g., "reading", "compare", "sort", "degrees"), keeping it below the comprehensive synonym coverage of level 5.

4 / 5

Distinctiveness Conflict Risk

The measurement-vs-threshold branching niche is mostly distinct with clear triggers, but the description omits the ScienceWorld environment context (only the name field carries it) and generic comparison/decision skills could partially overlap. Not 5: minor overlap risk remains.

4 / 5

Total

17

/

20

Passed

Validation

100%

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
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.