probe

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Deficit Recognition Probe — surface multiple deficit hypotheses for the user's current situation and route by user-constituted recognition (fit review, not protocol scoring).

AI & Automation 125 stars 11 forks Updated today MIT

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Skill Content

# Probe Skill Deficit Recognition Probe — when the user is uncertain which epistemic deficit (and therefore which protocol) fits the current situation, surface AI-generated multi-hypothesis candidates with reverse-evidence conditions, and route on user-constituted recognition. Type: `(DeficitUnrecognized, AI, RECOGNIZE, UserSituation) → ProtocolRoute`. Invoke directly with `/probe` when the user wants a fit review across the protocol catalog before committing to a single protocol invocation. The AI may also surface these hypotheses on its own when it detects genuine deficit-ambiguity — offered as a low-confidence horizon for the user's fusion, not a covert frame (Rule 1); explicit invocation is one entry, not the only one. ## Definition **Probe** (ἐπίγνωσις, *epígnōsis*: knowing-upon, recognition of what was already there): A dialogical act of resolving a user's vague sense that "something is off" into a recognized deficit + protocol route, where AI scans the user's recent situation against the catalog of epistemic deficits, presents at minimum two hypotheses with falsification conditions, and the user constitutes the route via recognition — never AI-resolved scoring. This skill stands in structural homology with Anamnesis (`/recollect`) — both realize the RECOGNIZE operation family. Anamnesis recognizes past context from vague recall; Probe recognizes present-situation deficit from vague unease. Anamnesis output is `RecalledContext`; Probe output is `ProtocolRoute`. Bot...

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Author
jongwony
Repository
jongwony/epistemic-protocols
Created
7 months ago
Last Updated
today
Language
JavaScript
License
MIT

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