Gate first
Fabricated literature, mismatched figure data, credential reads, data exfiltration, or workdir escape prevent a skill from receiving tested status.
Evidence
Research Skill Hub separates listed catalog entries from independently tested skills. A skill must pass fatal gates before numeric Evidence or verified output status is shown.
Fabricated literature, mismatched figure data, credential reads, data exfiltration, or workdir escape prevent a skill from receiving tested status.
Each dimension is a deterministic ratio multiplied by 5. The frontend displays these fields only when the backend contract provides them.
Correct outputs divided by total outputs.
Deterministic usability checklist pass ratio.
Key cases that produce consistent conclusions across repeated runs.
Claimed capabilities that were tested and passed.
Negative controls and boundary cases that passed.
n_i = d_i / 5
Evidence = round(100 * Σ w_i * n_i)MVP weights: Accuracy 0.30, Reproducibility 0.20, Robustness 0.20, Coverage 0.15, Usability 0.15. The frontend never recalculates this score. Visualization records use verified mode in the UI, so saturated numeric scores are not shown as ranking signals.
Current production data exposes 0 tested records inside 27 MVP featured skills: 0 numeric literature checks and 0 verified visualization checks. Listed pages still show descriptions, source metadata, star counts, and install commands without tested containers.