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.
/plugin marketplace add maddexritter-rgb/vibe-editing/plugin install vibe-editingWrote 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.
[](https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/scorecard-audit)<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/scorecard-audit"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/scorecard-audit/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.
<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/scorecard-audit"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/scorecard-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00199 | $0.01688 |
| Opus 5 | $0.00100 | $0.00844 |
| Sonnet 5 | $0.00040 | $0.00338 |
| Haiku 4.5 | $0.00020 | $0.00169 |
Grade A, and why
scorecard-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
scorecard-audit
The narrative + structural QC layer the editing pipeline was missing. SF-sf-audit checks subtitles/audio/video mechanics; the scorecard checks whether the clip is actually a good piece of content. Together they form the full pre-handoff gate.
Sourced from the company.com editing team's scorecard (Q&A, Hotline, Story format
variants — prompts/qa.md, hotline.md, story.md). Schema matches theirs exactly so
the JSON is interoperable with their internal Electron scoring app.
What gets checked (Q&A = 51 rules, 151 max points)
| Category | Rules | Max | Most-failed |
|---|---|---|---|
| Hook & Retention | H1-H5 | 25 | H1 (contrast hook formula) |
| Pacing & Timing | P1-P8 | 27 | P3 (runtime under 90s) |
| Narrative Focus | N1-N10 | 37 | N4 — payoff is the final line (THE most-failed rule) |
| Subtitles & Text | S1-S11 | 26 | S5 (number/$ format), S4 (lowercase) |
| Brand & Framing | B1-B7 | 18 | B2 (Speaker authority maintained) |
| Editing Discipline | E1-E5 | 10 | E3 (fragment-after-trim), E4 (redundant examples) |
| Brand Risk | R1-R4 | 8 | R3 (no trigger words <15s) |
Pass threshold: 80% = 121 / 151. Hotline = 97 / 121. Story varies (see prompts/story.md).
Visual-only rules (S1, S2, S3, S7, B5, B6, B7, HH5) return null here — they're handed
off to sf-audit's classical-CV + vision-MCP checks.
Usage
# Minimum (auto-detects format from transcript density + duration)
python3 ${CLAUDE_PLUGIN_ROOT}/skills/scorecard-audit/scripts/scorecard.py \
--transcript /tmp/shortform-work/transcript.json \
--clip ~/Downloads/speaker-clip-v1.mp4
# Full — wired with profile fields + autolog into clip-review-tracker
python3 ${CLAUDE_PLUGIN_ROOT}/skills/scorecard-audit/scripts/scorecard.py \
--transcript transcript.json --clip clip-v1.mp4 \
--format qa \
--client speaker --clip-slug pricing-rant \
--clip-type q\&a --gesture-profile speaker_hand_enters_upper_frame \
--caption-style pro --hook-type revenue-first \
--exit-on-fail
What ships with it
4 files 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.
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.
- 11d ago First seen · 125 lines · 199 tokens per session scan A cf670f20f120
scorecard-audit is a skill published in the GitHub repository maddexritter-rgb/vibe-editing (7 stars, last pushed 2mo ago), licensed MIT. It adds 199 tokens to every session and 1,688 once invoked, about $0.0010 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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