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Apply conservation biology methods, databases, and assessment tools
Passed 18 of 22 test cases with the skill, and 16 of 22 without it.
and 1 more in the full report
3 fixed15 passed either way3 still failing1 broke
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One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
When evaluating a species for the IUCN Red List, what are the five main quantitative criteria letters used, and what primary biological factor does Criterion A measure?
| Checked | Without skill | With skill |
|---|---|---|
| Criterion A is identified as measuring population size reduction | Passed | Passed |
| Criterion B is identified as measuring geographic range | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for conducting conservation biology research, covering species assessment methods, habitat modeling, population viability analysis, key biodiversity databases, and frameworks for conservation prioritization.
Extinction Risk Categories (from highest to lowest):
EX - Extinct
EW - Extinct in the Wild
CR - Critically Endangered
EN - Endangered
VU - Vulnerable
NT - Near Threatened
LC - Least Concern
DD - Data Deficient
NE - Not Evaluated
Classification criteria (any one triggers the category):
A: Population size reduction
B: Geographic range (extent of occurrence, area of occupancy)
C: Small population size and decline
D: Very small or restricted population
E: Quantitative extinction probability analysis
import os
import json
import urllib.request
def get_species_assessment(species_name: str) -> dict:
"""
Retrieve IUCN Red List assessment for a species.
test cases passed, vs 16 / 22 without
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