inquire
SolidInfer context insufficiency before execution. Surfaces uncertainties through information-gain prioritized inquiry when AI infers areas of context insufficiency, producing informed execution. Type: (ContextInsufficient, AI, INQUIRE, Prospect) → InformedExecution. Alias: Aitesis(αἴτησις).
Install
Quality Score: 84/100
Skill Content
Details
- Author
- jongwony
- Repository
- jongwony/epistemic-protocols
- Created
- 8 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
grasp
Verify understanding after AI work through intent-scented entry points. Type: (ResultUngrasped, User, VERIFY, Result) → VerifiedUnderstanding. Alias: Katalepsis(κατάληψις).
insight-cross-examine
Context-routed deliberation engine. Takes a subject OR a set, routes by Form × Corpus to a graduated depth, discovers unseen angles & connections (via insight-angles), then runs critique → assess (+ explore, + typed hybrids for sets) and presents a decision surface — as an ask-gate or inline. Trigger on /insight-cross-examine, "cross-examine this", "weigh these options", "pick between these and recommend", "evaluate these candidates". Not insight-critique (single-output review) or insight-assess (single-decision eval) — cross-examine orchestrates both across one-or-many with hybrids and contextual routing. Not insight-explore (pure divergence), insight-angles (the angle/connection engine it orchestrates), ask-gate (governs the question, not the subject), or plan-deep-dive (phase-by-phase plan inspection).
contextualize
Detect application-context mismatch after execution. Verifies applicability when correct output may not fit the actual context, registering each mismatch through a fail-closed deficit-fit certificate before disposition, producing contextualized execution. Judgment (does the aspect stand?) and disposition (adapt, keep, or withdraw the result) are separate axes, each relay-eligible on its own ground: a relay may close a mismatch only where the close leaves the result untouched, so adapt and withdraw are always user-answered. The transformative revalidation loop is non-monotone — an adapt disposition mutates the evaluation target and can breed emergent mismatches; re-scan is mandatory. Type: (ApplicationDecontextualized, AI, CONTEXTUALIZE, Result) → ContextualizedExecution. Alias: Epharmoge(ἐφαρμογή).