h-compare

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Compare two or more existing candidates under an explicit characteristic space, parity basis, and predeclared selection policy. Return trade-offs and a non-dominated set; persistence is conditional and a binding choice requires a direct unambiguous operator request.

AI & Automation 1,392 stars 102 forks Updated 2 days ago NOASSERTION

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Skill Content

# h-compare — Compare under parity Retrieve current FPF source first. Inspect a known SourceID or UnitID with `haft_query(action="fpf", mode="inspect", identifier="...")`; otherwise use `mode="concern"` with the comparison question and inspect the direct pattern body. Query returns source candidates, not a selected governing pattern or verdict. Treat a concern result's `candidate_set` as incomplete navigation. Before relying on one candidate, inspect its exact identifier and direct pattern body. Keep several candidates live or abstain when the basis is insufficient. Never query after comparison merely to manufacture support for a verdict already reached. Declare dimensions, indicator roles, parity, missing-data policy, and selection policy before scoring. Apply the same evidence window and scale to all candidates per dimension. Show constraints, dominated candidates, the Pareto front, uncertainty, weakest links, and evidence that could change the result. This n-candidate comparison is Haft local practice, not automatically an `A.19.CPM` actual application or an `A.19.SelectorMechanism` result. Claim exact FPF conformance only when the current use also preserves each required binary CPM application, pair coverage, token-to-producer trace, claim scope and selected context slices, predicate basis, reference plane, evaluation window, and separate eligibility/output bindings recovered from the direct source. Inline candidates are sufficient; frame and explore are not prerequi...

Details

Author
m0n0x41d
Repository
m0n0x41d/haft
Created
9 months ago
Last Updated
2 days ago
Language
Go
License
NOASSERTION

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