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: (FrameworkAbsent, AI, DESIGN, Inquiry) → FramedInquiry. Alias: Prothesis(πρόθεσις).
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required runtime workflow for `frame` (Prothesis Protocol) ingests outsider-authored free text only as the user’s own request `U` (including the literal `/frame "text"` payload) to construct a Mission Brief and present perspective options, then stops at `handoff(FramedInquiry)` without reading any other user-submitted feed/content; it does not describe consuming externally submitted unselected text streams like emails, tickets, or issue bodies.
e56ccd7
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.