Probe Discovery Harness candidates with toy-scale feasibility and null-model checks.
npx skills add https://github.com/stephendor/TDL --skill spike-stephendor
Please help me install this Agent Skill. Skill: spike Source: https://github.com/stephendor/TDL/tree/main/.agents/skills/spike Command: npx skills add https://github.com/stephendor/TDL --skill spike-stephendor
The spike Skill addresses the need for a toy-scale feasibility probe, pre-registration, and null-model check before advancing a Discovery Harness candidate to APM execution.
To initiate a spike probe, use the command 'run-spike --candidate "candidate_slug" --pre-reg "pre_registration_path"'
High-intent search queries and answers about installing and using this skill.
A null-model check validates defined null models before proceeding with in-depth analysis. This ensures your baseline assumptions are tested against the data during the pre-registration phase.
You need pre-registration after a candidate is promoted from the assay phase but before APM execution. This confirms the candidate's analysis feasibility and ensures all prerequisites are met.
Initiating a toy-scale feasibility probe requires input data and pre-registration information. You must provide a candidate slug and a pre-registration path to execute the probe successfully.
No, defining a null model is required before proceeding. The spike Skill validates that null models are properly defined to ensure metric spaces are viable for the discovery harness candidate.
Toy-scale feasibility probes are limited to confirming viability and pre-registration readiness before APM execution. They do not replace the advanced processing required for full-scale data analysis.
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