audit-visual

audit-visual is a skill for Claude Code from maddexritter-rgb/vibe-editing. It costs 96 tokens per session (1,973 once invoked), scanned A, original, MIT.

A visual-only checker for rendered video clips. It examines what viewers see, such as framing, face tracking, cuts, frozen frames, black frames, and rendering problems.

In plain words
What is it for?
Use it to review finished clips and produce a visual quality report before delivery.
Why use it?
It catches visible quality defects without being distracted by audio or caption content.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the vibe-editing plugin — 18 skills shipped together

Good fit Use it to review finished clips and produce a visual quality report before delivery.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add maddexritter-rgb/vibe-editing
Claude Code
/plugin install vibe-editing

Made for: Claude Code.

Or install vibe-editing, the plugin that ships this one along with the rest of its 18 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for audit-visual

README.md
[![agentmods](https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/audit-visual/github.svg)](https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/audit-visual)
Your own site
<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/audit-visual"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/audit-visual/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for audit-visual

Your own site · 80×15
<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/audit-visual"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/audit-visual.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,973 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.01973
Opus 5 $0.00048 $0.00986
Sonnet 5 $0.00019 $0.00395
Haiku 4.5 $0.00010 $0.00197

Measured 12d ago against content hash faef7c7072e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

audit-visual scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/vibe-editing/skills/audit-visual/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

audit-visual — visual-only quality gate

Fresh-context agent. Receives ONLY the video frames (audio stripped). Checks what a VIEWER would see, ignoring what they'd hear.

How to run

python3 ${CLAUDE_PLUGIN_ROOT}/skills/audit-visual/scripts/check.py \
    --clip 20_DELIVER/v1/clip.mp4 \
    --project 10_WORK/clips/<Slug> \
    --out 10_WORK/audit_visual.json

ALWAYS pass --project (the clip's work dir) — it reads the real cut seams so the within-shot pan gate fires hard. Without it, seams are self-detected (loose) and panning only warns. Optional: --contact-sheet to generate a visual grid for manual review.

What it checks

1. CROP STABILITY — the authoritative check (background phase-correlation)

The defect a viewer sees is the CROP WINDOW jumping, not the subject moving. The crop is rigid: if it jumps, the static background moves with it. So the gate phase-correlates the static top band of the frame (top 22%) and reads the clip's REAL cut boundaries from the render pipeline (10_WORK/stages/cut/<hash>.meta.json via _shared/clip_meta.py) — same-angle jump cuts are content seams, never "tracking failures". Without metadata, seams are self-detected from frame-diff spikes.

  • Within a shot: vertical crop step ≥1.2% of height, step-confirmed (neighbors stay shifted) = FAIL. Unconfirmed transients are reported, not failed.
  • Across seams: the Y-axis must hold (Y-lock / global-Y). Background dY ≥1.5% across a cut = FAIL, ≥0.9% = WARN. X may legitimately re-center. (Known-good seams measure 0.0–0.08% dY; one accepted outlier at 0.73%.)
  • Zoom exemption: punch-in zooms read as band motion but are intentional — a zoom is detected (left/right band halves move horizontally in opposite directions) and exempted, counted in zoom_moves_within_shots / zoom_seams.
  • Horizontal PAN within a shot = FAIL (2026-06-12, Guest159 regression): >8% within-shot horizontal crop drift (when seams are known via --project, bg static) = the frame is FOLLOWING the subject instead of holding — the "terrible keyframe" defect. Fix = reframe with --lock-x (auto-on for the podcast preset). Small dx for true re-centering at a content cut is exempt; in self-detected (loose) mode it warns rather than fails.
  • OVER-ZOOM = FAIL (2026-06-12): face AREA >20% of frame = head cropped / too tight. A chest-up podcast/talking-head reframe sits ~8-14% (measured: known-good L3 clips 7.9-8.2%; the over-zoom batch 20.7-23.5%). 16-20% = warn. Cause = applying source-intel's zoom (1.4-2.2) on already-chest-up footage; fix = --preset podcast (zoom 1.0) from the 4K master.
  • Moving-content footage (handheld, b-roll) is detected via baseline band motion and the stability checks are skipped with a note rather than false-failing.

Read the full file on GitHub · 139 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 139 lines · 96 tokens per session scan A faef7c7072e3

Subscribe to this mod's changes

audit-visual is a skill published in the GitHub repository maddexritter-rgb/vibe-editing (7 stars, last pushed 2mo ago), licensed MIT. It adds 96 tokens to every session and 1,973 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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