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/edit)<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/edit"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/edit/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/edit"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/edit.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 | $0.00286 | $0.25315 |
| Opus 5 | $0.00143 | $0.12657 |
| Sonnet 5 | $0.00057 | $0.05063 |
| Haiku 4.5 | $0.00029 | $0.02532 |
Grade A, and why
edit scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://api.groq.com/openai/v1/audio/transcriptions \ How it starts
The opening of the file, as written. The whole thing — 1,396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
edit — THE master editing skill
📦 PLUGIN PATHS — read once. This skill ships inside the
vibe-editingplugin. Every command below references${CLAUDE_PLUGIN_ROOT}= this plugin's install directory (the folder that containsskills/,lib/_shared/, andvault/). Claude Code sets that variable for plugin contexts; if a shell you run doesn't have it, resolve it once at the start of the job —export CLAUDE_PLUGIN_ROOT="$(cd "$(dirname "$(command -v ... )")" ...)"or simply set it to the plugin dir you installed. You usually don't need to: every bundled Python script self-locates its ownlib/_shared, sibling skills, andvault/by walking up to the.claude-plugin/marker (it also honorsVIBE_PIPELINE_ROOT), so only the entry script path in each command has to be right. User-supplied assets (not shipped with the plugin): the licensed music library → put it at${CLAUDE_PLUGIN_ROOT}/vault/content-skill-system/(1) Tik Tok/or pointVIBE_MUSICat it; the ~11GB overlay/transition asset pack →${CLAUDE_PLUGIN_ROOT}/assets/or pointVIBE_ASSETSat it. The core cut→reframe→caption→render→audit path needs neither. See the plugin'sINSTALL.md.Keys (optional — the kit runs key-free): transcription defaults to local whisper (no key, via
long-form-ingest/scripts/transcribe_local.py). SetGROQ_API_KEYin${CLAUDE_PLUGIN_ROOT}/config/keys.envONLY for the faster cloud path; setANTHROPIC_API_KEYfor richest caption styling (else it falls back to theclaudeCLI). No key ships with the kit. Ingest (Step 0):/editaccepts a local file, a YouTube URL (fetched withyt-dlp), or a Google Drive link (via thefootage-fetchskill) — a bare/edit <url>downloads first, then runs.
🛑 POST-MORTEM FROM Tier1 Q&A BATCH 2026-06-14 → 2026-06-16 — READ FIRST IF EDITING Q&A
8 rounds of revisions on an 18-clip batch before Operator was satisfied. ALL the defects were preventable with stricter pre-/post-build audit. Root causes + what to do every Q&A run, going forward:
Why the mistakes happened
- I treated playbook non-negotiables as advisory — silently fell back to "simplest valid floor" (single-cam Speaker) instead of doing split-screen. The playbook EXPLICITLY listed split-screen as non-negotiable #2. FIX:
non_negotiables_check.pyruns as a HARD GATE. Defensive pre-justification in the delivery README ("happy to do X as a V2 pass") is the smell — if I'm writing it before the user complains, I'm cutting a corner.- I configured visual params (zoom, eye) once GLOBALLY and shipped without per-clip visual verification. Guests differ — Guest (short) needs zoom=1.15/eye=0.18; Guest (tall) hits the reframer's source-bound limit at the same settings; Guest (medium) worked at 0.95/0.10. There is NO single zoom that satisfies all guests. FIX: Step 9 now requires per-clip OPEN-FRAME extraction + visual face-position measurement BEFORE staging.
- I shipped music tracks with slow build-up intros without profiling. øfdream 27s, øneheart 17s, Gods creation 25s, Labrinth 4s — all bled boring intro under the hook. FIX: STEP 7 of qa_playbook.md mandates RMS profile of every picked track; if beat-drop > 1s,
--music-ss <N>is required. Audit gate G5 automates this.- I cut segments on Whisper's word.end labels without padding for soft consonants. "road." (-d) and "one." (-n) got mid-syllable clipped because Whisper's labels are 0.1–0.25s early on soft tails. FIX: G1 boundary-tail audit catches every flagged segment-end pre-build.
- I cut cameras mid-completion. Cut to Speaker while Guest was still saying "yeah trying to figure out…" — the source-time jump reads as "muted guest mic." FIX: G2 guest-completion audit catches same-conversation cam-cuts that skip prev-speaker words.
- I ended clips on mid-thought, not the natural button. Guest closed on "biggest, baddest one." instead of the punchier "So give the sickest one away." 1s later. FIX: G3 payoff-extension audit reads the 3s past EDL's last word for an imperative/connector-led button.
- I optimized one clip at a time instead of running a batch-wide audit before each rebuild. Every revision round revealed defects I should have caught proactively. FIX:
qa_prebuild_audit.pyruns all 6 gates in <5s on the EDL before any 4K encode burns 5–8 min. Cheaper to fail at audit than at human review.The Q&A discipline going forward (autonomous-safe)
Run this loop per clip, in this order: 0. Design the CUT with the CONTRAST HOOK + HOOK→PAYOFF→TENSION method (
references/clipper_ai_prompt.md) — the DEFAULT, not a remembered option. WHAT-they-do→revenue hook; end on the portable PRINCIPLE, never a bare tactic/wind-down. Spine =references/QA_MASTER_SOP.md.
- Design EDL + corrections.json + pick music
qa_editorial_score.pyMUST EXIT 0 on the clip's spoken transcript (HARD GATE, not advisory — blocks plain/revenue-first hooks, tactic/wind-down endings, failed portability, sub-100-word skeletons). Compounding standard: gate, don't warn. [[feedback_compounding_standard_default_plus_gate_2026-06-12]]qa_prebuild_audit.pyMUST EXIT 0 before any encode (G1–G6)- Build via qa_assembly
- Extract open frame at t=1.0s. If split-screen, measure guest face position in lower panel. If face center > 35% of panel height → rebuild with lower eye / higher zoom OR document the source-bound limit (tall guest in centered CCAM)
- Head-trim if onset > 0.10s, reqc, stage
- SF-sf-audit + scorecard-audit (post-build)
- ONLY then declare clip ready
A clip that skips any of these steps is a clip that ships defective. The Tier1 batch took 8 rounds because I skipped steps. Don't skip steps.
What ships with it
60 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.
- .gitignore 365 B
- config/clip_lift_podcast.json 2.1 KB
- config/clip_lift.json 3.4 KB
- config/example_config.json 1.5 KB
- luts/AUTUMN DULL.cube 925 KB
- luts/AUTUMN RICH.cube 943 KB
- luts/Better Sepia.3dl 469 KB
- luts/BRIGHT.cube 798 KB
- luts/BW FADED.cube 971 KB
- luts/BW HIGH CONTRAST.cube 977 KB
- luts/CLASSY.cube 822 KB
- luts/Color Punch Cool.3dl 458 KB
- luts/Color Punch Warm.3dl 425 KB
- luts/DEEP.cube 826 KB
- luts/DREAM.cube 755 KB
- luts/Earthy.3dl 456 KB
- luts/Edgy.3dl 454 KB
- luts/Golden.3dl 461 KB
- luts/hipstagram.3dl 454 KB
- luts/Hipstawash.3dl 475 KB
- luts/Keep Red.3dl 461 KB
- luts/ORANGE TEAL FADED.cube 965 KB
- luts/ORANGE TEAL.cube 886 KB
- luts/PRIME.cube 885 KB
- luts/Red Pink.3dl 480 KB
- luts/STARK.cube 853 KB
- luts/VINTAGE.cube 916 KB
- luts/WASH.cube 972 KB
- presets/default.json 1.0 KB
- presets/podcast_presets/spice_1080.json 1.7 KB
- presets/spice_caption.json 1.7 KB
- prompts/clip_judge.md 2.2 KB
- prompts/clip_select.md 5.3 KB
- prompts/tam_coherence.md 4.5 KB
- prompts/tam_segment.md 4.7 KB
- prompts/tam_select.md 8.5 KB
- prompts/tam_tighten_short.md 8.9 KB
- prompts/tam_tighten.md 8.8 KB
- prompts/thread_mine.md 5.4 KB
- QA_HOTLINE_SOP.md 12 KB
- README.md 1.9 KB
- references/assembly_cut_standard.md 26 KB
- references/audio_music_presets.md 3.2 KB
- references/clip_creation_rules.md 4.3 KB
- references/clipper_ai_prompt.md 7.0 KB
- references/editorial_sop.md 3.7 KB
- references/ffmpeg.md 3.4 KB
- references/hooks_taxonomy.md 4.1 KB
- references/longform_clip_patterns.md 9.2 KB
- references/qa_analysis_synthesis.md 8.7 KB
- references/qa_clip_patterns.md 17 KB
- references/qa_clipper_speaker_qa_sop.md 4.2 KB
- references/qa_clipper_visual_guide.md 3.3 KB
- references/qa_format_spec.md 9.7 KB
- references/qa_hotline_sop.md 396 B
- references/qa_improvement_loop.md 3.4 KB
- references/QA_MASTER_SOP.md 17 KB
- references/qa_playbook.md 33 KB
- references/qa_sop_locked.md 5.7 KB
- references/qa_sync.json 589 B
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.
- 10d ago First seen · 1,396 lines · 286 tokens per session scan A 83be604d4647
edit is a skill published in the GitHub repository maddexritter-rgb/vibe-editing (7 stars, last pushed 2mo ago), licensed MIT. It adds 286 tokens to every session and 25,315 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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