frame

frame is a Structured reasoning & decision frameworks skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates frame D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Multi-perspective framing — a pure lens-formation tool. When the right framework is absent, places analytical lenses before the user, then for each selected lens declares the substrate it needs (an abstract persona/capability) with advisory binding hints and a channel need, and hands lens↔substrate pairs off — without executing, isolating, arranging, or synthesizing. A single lens returns directly; multiple lenses where at least one needs a specialized substrate become a substrate-correspondence handoff that nudges /conduct for the isolation + arrangement + reconciliation + synthesis apparatus, which the isolated substrate runs. frame never synthesizes a multi-perspective result in its own context and never realizes isolation — convergence is claimable only by a substrate that ran the lenses in genuine isolation. Factual lookup or verification routes to fact-finding delegation; contested design, value, interpretation, or scope judgment routes to lens-conditioned inquiry. Type:…

Grade

D

Quality

68 / 100

Safety

Passed

GitHub stars

124

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.