How do I install the Scienceworld Threshold Evaluator skill?

Run npx skillmds add zjunlp/scienceworld-threshold-evaluator in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Scienceworld Threshold Evaluator safe to use?

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Which AI agents work with Scienceworld Threshold Evaluator?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Scienceworld Threshold Evaluator free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Scienceworld Threshold Evaluator?

zjunlp (@zjunlp) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Scienceworld Threshold Evaluator by zjunlp

Name: Scienceworld Threshold Evaluator
Rating: 4.2 (5 reviews)
Author: zjunlp

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.

zjunlp 344f9b2 3 files · 8.2 KB Updated Sep 10, 2026

File contents

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

Extract the measurement -- Parse the numerical value from the observation (e.g., "the thermometer measures a temperature of 56 degrees celsius" yields 56).
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=">").
Evaluate the comparison -- Compare: measured_value > threshold or measured_value < threshold.
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.

---name: scienceworld-threshold-evaluatordescription: 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## PurposeCompare 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## Workflow1. **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 BThe 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 boxYou 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 sampleThe scale measures a weight of 145 grams.```**Evaluation:** 145 > 200 is FALSE, so execute the "otherwise" branch.```> move rock sample to green binYou 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.

Frequently asked questions