media-perception

name	media-perception
description	Caller-facing routing aid for media-perception in vh-solara — decide between in-context perception (vision-capable caller) and single-delegation to the media-perception specialist (text-only caller or heavy/multi-step perception). Load this skill when you hold an image, diagram, chart, video, document/PDF, or audio locator and need to decide how to perceive it.
compatibility	opencode

Media Perception Routing

Two paths. When you (the caller) can already see the media in-context and have a vision-capable model, perceive it yourself — zero round-trips, iterate freely. Otherwise delegate ONCE to the media-perception specialist with a path/URL locator and the full question set; expect a single consolidated report.

This skill is for callers (build, researcher, coordination, project-coordinator) that find themselves holding a media artifact and need to decide how to perceive it. It does not run perception itself — it routes.

When to load

Load this skill when:

• a user or upstream handoff gave you a media locator (path: or url:) and a question about what the media shows or contains
• you are about to say “I can’t see images” or “I have no vision capability” — STOP and load this skill instead
• you are deciding whether to delegate perception or handle it inline
• you received a perception report from media-perception and need to interpret capability_status

Capability-class vocabulary

Reason and route in terms of CAPABILITY CLASSES, not vendor or tool names:

• image interpretation / OCR
• diagram understanding
• chart / data-visualization analysis
• video / frame analysis
• document-page interpretation (PDF and similar paginated docs)
• audio transcription / analysis

Do not name specific tools, packages, providers, or install commands in your routing decision or your handoff. If you only see a concrete tool name in the session, route by its capability class.

Path A — in-context perception

Use Path A when ALL of:

• your own model is vision-capable for the modality in question, AND
• the runtime has actually made the media inspectable to you (the image is visible in your context, the audio is playable, the PDF page rendered), AND
  • the perception work is light enough to iterate inline

Path A is zero round-trips: you perceive directly, ask follow-ups, and answer. Do NOT delegate to media-perception from Path A — that adds a round-trip for no benefit.

Path B — single delegation to media-perception

Use Path B when ANY of:

• your model is text-only or lacks the modality in question
• the media is NOT in your context (you only have a path or URL)
• the perception is heavy or multi-step (many figures, long video, large paginated doc) and a dedicated specialist is cheaper
• you find yourself about to refuse a perception task

Handoff contract (dual-channel for local)

Parent-session attachments do NOT automatically propagate into a task child's context. A delegated request must be self-contained. Delegate ONCE with:

• a locator the specialist can reach — for local media, use BOTH channels (see below); for remote media, use url: only
• a modality hint (image | diagram | chart | video | document | audio | unknown) when known
• the full question set the perception must answer — do not hold back questions for later round-trips
• only material context the specialist needs (not the whole session)

Local media — dual-channel handoff (required). Pass BOTH:

• @file <path> — so the specialist receives the file bytes in its prompt
• path: <repo-relative or accessible path> — so the specialist has an explicit locator it can hand to a perception capability

@file alone gives the specialist bytes but no filesystem locator for a tool. path: alone gives a locator but the bytes may not reach the child. Both are required for local media.

Remote media. Pass url: <accessible URL> — no @file needed; the capability fetches the resource itself.

If you only have a pasted or parent attachment without a locator, do NOT invent a filesystem path. Request an accessible path or URL from the operator first.

What to expect back

One consolidated report from media-perception:

capability_status: available | unavailable | uncertain
input:        { locator, modality_hint }
basis:        native | tool | none | uncertain
tools_used:   [capability-class descriptions, or "none"]
observations: [ grounded observations ]
limitations:  [ what could not be determined, and why ]
next_action:  [ one concrete next step for the caller ]

Treat this as a complete answer. Do not re-delegate for the same question set; if you need more, follow next_action (different locator, different modality hint, expose a missing capability class) — not a re-run.

Handling capability_status

• available — observations are grounded in a successful capability invocation. Proceed on their strength, respecting limitations.
• unavailable — no compatible capability is exposed in the session. This is a normal, expected outcome for sessions that have not wired a perception capability. Surface it honestly to your caller; do not paper over it with speculation about what the media might contain. The fix is environmental (expose a compatible capability via overlay or operator config), not a retry.
• uncertain — capability presence or media access could not be established. Follow next_action; usually a clearer locator or a different modality hint.

Never fabricate observations to fill a unavailable or uncertain gap. Say the gap plainly.

Structured failure classes

When a delegation does not produce grounded observations, classify the failure and map it into the report's capability_status, limitations, and next_action:

Class	Trigger	capability_status	next_action
missing_locator	no path: or url: provided	uncertain	request an accessible locator
inaccessible_local	path: provided but file unreadable (permissions, missing, outside sandbox)	uncertain	request a readable path or url:
inaccessible_remote	url: provided but fetch failed (DNS, 4xx/5xx, timeout)	uncertain	request an accessible URL or a local path:
unavailable_capability	no compatible perception capability exposed	unavailable	expose a compatible capability via overlay or operator config
timeout	capability invoked but did not return in time	uncertain	retry once with a narrower question set or a different capability
transient_transport	invocation failed with a retriable error (network blip, rate limit)	uncertain	retry once or request a different locator
invocation_failure	capability rejected the input (wrong format, corrupt media, unsupported modality)	unavailable or uncertain	different modality hint or capability class
unusable_output	capability returned something with no usable signal (empty, garbled, low confidence)	uncertain	different capability or locator

Record the failure class and the concrete error reason in limitations.

Retry boundary (no unbounded ladder)

Retry is NOT automatic and must NOT become an unbounded ladder. A single explicit retry is acceptable ONLY for timeout and transient_transport, and only when the caller's question set is not yet exhausted. All other classes return immediately with an honest report. Do not loop on retries — surface the gap and let the caller decide.

When NOT to delegate

• You do not have a path or URL, only a vague mention of media — get a locator first.
• The task is about generating media (drawing, rendering, transcribing into a file), not perceiving existing media — media-perception is read-only and does not produce media.
• The “perception” is trivially answerable from surrounding text (a caption, an alt-text, a transcript already in scope) — read that first.

Adding project-specific modality specialists (overlay recipe)

This core capability ships a single perception generalist. A consuming project that needs dedicated per-modality specialists (image-only, video-only, audio-only, etc.) can add them via an overlay pack under .vh-agent-harness/overlays/<pack>/:

1. Add the specialist agent file under agents/ in the pack.
2. Declare its task edges (leaf-shaped: deny-all, with inbound edges from the same caller set or a narrower one) in the pack’s permission-pack.jsonc.
3. Wire its model reference and any capability gate in opencode-append.jsonc.
4. List the pack under overlays: in .vh-agent-harness/vh-harness-profile.yml.

The exact core-side splicing seam for replacing the generalist with a cluster is not part of this skill’s contract — the overlay path above is the supported way to add specialists without modifying core.