APEX-Agents · Management Consulting

World126_EFA_01

9/10Fail

APEX-Agents task World126_EFA_01 in AI Agents for ESG and Climate Risk Analysis. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for ESG and Climate Risk AnalysisManagement Consulting World 113.1Dual harnessGrader: rubric

Task IDtask_d06ed610563a4dcebc39edbb17b1b757

WorldManagement Consulting World 113.1

Expected outputmessage_in_console

Published runs5 models · dual config

Task prompt

What the agent was asked to do

Based on Planet Defense's climate risk data and their scoring methodology, give me the top 3 sub-regions by overall risk score and their overall risk scores. Once you've done that, calculate for each continent the average overall risk score and the standard deviation of all the overall risk scores. Report numeric final answers to 2 decimal places. Write your answer here.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

Model	Harness	Score	Result	Links
GPT-5.5showcase	dual	9/10	Fail	Share page Public trace
Gemini 3.1 Pro	dual	9/10	Fail	Share page Public trace
GPT-5.4	dual	9/10	Fail	Share page Public trace
GPT-5.4 mini	dual	8/10	Fail	Share page Public trace
GPT-5.4 nano	dual	9/10	Fail	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States that the overall risk score of the sub-region with the highest overall risk score is 83.70
Pass
Evidence: TEXT_RESPONSE top 3 table lists rank 1: "Central Africa | 83.70". Assessment: Criterion requires stating highest sub-region overall risk score is 83.70; pass.
States that the overall risk score of the sub-region with the second-highest overall risk score is 83.55
Pass
Evidence: TEXT_RESPONSE top 3 table lists rank 2: "West Africa | 83.55". Assessment: Criterion requires stating second-highest sub-region overall risk score is 83.55; pass.
States that the overall risk score of the sub-region with the third-highest overall risk score is 75.30
Pass
Evidence: TEXT_RESPONSE top 3 table lists rank 3: "Polynesia | 75.30". Assessment: Criterion requires stating third-highest sub-region overall risk score is 75.30; pass.
States that North America's average overall risk score is 54.69
Pass
Evidence: TEXT_RESPONSE continent table lists "North America | 54.69 | 13.64". Assessment: Criterion requires North America's average overall risk score is 54.69; pass.
States that South America's average overall risk score is 63.97
Pass
Evidence: TEXT_RESPONSE continent table lists "South America | 63.97 | 4.83". Assessment: Criterion requires South America's average overall risk score is 63.97; pass.
States that Europe's average overall risk score is 41.95
Pass
Evidence: TEXT_RESPONSE continent table lists "Europe | 41.95 | 7.85". Assessment: Criterion requires Europe's average overall risk score is 41.95; pass.
States that Africa's average overall risk score is 73.95
Pass
Evidence: TEXT_RESPONSE continent table lists "Africa | 73.95 | 8.16". Assessment: Criterion requires Africa's average overall risk score is 73.95; pass.
States that Asia's average overall risk score is 67.80
Pass
Evidence: TEXT_RESPONSE continent table lists "Asia | 67.80 | 6.36". Assessment: Criterion requires Asia's average overall risk score is 67.80; pass.
States that Oceania's average overall risk score is 59.81
Pass
Evidence: TEXT_RESPONSE continent table lists "Oceania | 59.81 | 18.16". Assessment: Criterion requires Oceania's average overall risk score is 59.81; pass.
States that the standard deviation across all sub-regions is 15.18
Fail
Evidence: TEXT_RESPONSE provides continent-level standard deviations (e.g., "Africa ... 8.16", "Oceania ... 18.16") but does not state "15.18" or a standard deviation across all sub-regions. Assessment: Criterion requires stating that the standard deviation across all sub-regions is 15.18; fail.