Evaluate completed experiments and update wiki knowledge graphs with verdicts.
npx skills add https://github.com/KITTran/pinn-ndt-sim --skill exp-eval-kittran
Please help me install this Agent Skill. Skill: exp-eval Source: https://github.com/KITTran/pinn-ndt-sim/tree/main/i18n/zh/skills/exp-eval Command: npx skills add https://github.com/KITTran/pinn-ndt-sim --skill exp-eval-kittran
This Skill automates the evaluation of completed experiments and updates the wiki knowledge graph and related pages (claims, ideas, and graph edges) by applying impartial cross-model review to determine how results affect the target claim.
Run the exp-eval workflow on a completed experiment slug to automatically update the wiki.
High-intent search queries and answers about installing and using this skill.
Automating experiment evaluation requires a workflow that applies cross-model review to completed experiments, derives supported or inconclusive verdicts, and writes confidence adjustments, graph edges, and status updates directly to wiki pages.
Cross-model review is an impartial evaluation mechanism that assesses experiment results against target claims, assigning verdicts of supported, partially_supported, not_supported, or inconclusive to ensure objective knowledge graph updates.
Using an automated evaluation workflow with an --auto flag, you can process a completed experiment slug to adjust claim confidence, update idea status, refresh experiment summaries, and reconstruct graph context without manual intervention.
Yes, the experiment evaluation workflow supports automated graph edge creation, logging, and next-step planning as part of its end-to-end process for updating wiki knowledge graphs and related pages.
Yes, the automated wiki update process handles inconclusive experiment results by assigning the inconclusive verdict, updating the experiment summary, and refreshing open questions within the knowledge graph context accordingly.
The best way to evaluate completed experiments is running an automated cross-model review workflow that derives verdicts, updates claim status, and reconstructs knowledge graph context and open questions directly on wiki pages.
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