Academic Experiments | Agent Skills Atlas

About this skill

Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidencetype annotations (newlyrun/preexistingartifact/userclaim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting protocol risks like data leakage or missing baselines. Triggers on: 复核实验, run experiments, 实验结果, experiment evidence, verify results, 实验验证, evidence inventory, protocol risk, 跑实验, check results, reproduce experiments, 实验审计.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 17f51062d9edc622d7eda7280670ea067c136a9997fdcb8ecbbe4ab05078eeb7

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Original listing metadata

Original name

academic-experiments

Original description

Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting protocol risks like data leakage or missing baselines. Triggers on: 复核实验, run experiments, 实验结果, experiment evidence, verify results, 实验验证, evidence inventory, protocol risk, 跑实验, check results, reproduce experiments, 实验审计.

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.