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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.

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zjunlp/SkillNet
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16. März 2026 um 16:23
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Englisch
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SKILL.md
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name
scienceworld-threshold-evaluator
description
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.
# Skill: scienceworld-threshold-evaluator ## Purpose Compare a measured numerical value against a predefined threshold to determine which of two conditional actions to execute. This is the decision-making step that immediately follows a measurement in ScienceWorld experimental workflows. ## When to Use - Immediately after obtaining a numerical measurement (e.g., temperature reading from a thermometer) - When the task includes a conditional instruction like "if above X, do A; if below X, do B" - When classifying or sorting objects based on measured properties ## Workflow 1. **Extract the measurement** -- Parse the numerical value from the observation (e.g., `"the thermometer measures a temperature of 56 degrees celsius"` yields `56`). 2. **Identify the threshold and condition** -- From the task instruction, determine the threshold value and comparison operator (e.g., `"above 50.0 degrees"` means `threshold=50.0`, `operator=">"`). 3. **Evaluate the comparison** -- Compare: `measured_value > threshold` or `measured_value < threshold`. 4. **Execute the correct branch** -- Perform the action specified for the satisfied condition. ## Examples ### Example 1: Temperature-based classification **Task:** "Measure the temperature. If above 50.0 degrees, move to the orange box. If below 50.0 degrees, move to the blue box." ``` > use thermometer on unknown substance B The thermometer measures a temperature of 56 degrees celsius. ``` **Evaluation:** 56 > 50.0 is TRUE, so execute the "above" branch. ``` > move unknown substance B to orange box You move the unknown substance B to the orange box. ``` ### Example 2: Weight-based sorting **Task:** "If the object weighs more than 200 grams, place in the red bin. Otherwise, place in the green bin." ``` > use scale on rock sample The scale measures a weight of 145 grams. ``` **Evaluation:** 145 > 200 is FALSE, so execute the "otherwise" branch. ``` > move rock sample to green bin You move the rock sample to the green bin. ``` ## Key Principles - **Immediate execution** -- Do not perform other actions between obtaining the measurement and evaluating the threshold. - **Precision** -- Use the exact numerical value from the observation; do not estimate or round. - **Binary decision** -- The outcome is strictly one of two paths. If the measurement equals the threshold, re-examine the instruction for boundary guidance ("above" typically means `>`, not `>=`). ## Common Pitfalls - **Incorrect branching** -- Executing the action for the opposite condition (e.g., blue box when value is above threshold). - **Premature evaluation** -- Attempting to evaluate before the measurement is complete and valid. - **Action confusion** -- Targeting the wrong object in the post-evaluation action.
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