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/source-intel)<a href="https://agentmods.dev/skills/maddexritter-rgb/vibe-editing/source-intel"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/source-intel/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/source-intel"><img src="https://agentmods.dev/badge/skills/maddexritter-rgb/vibe-editing/source-intel.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 | $0.00090 | $0.01262 |
| Opus 5 | $0.00045 | $0.00631 |
| Sonnet 5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
source-intel 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 9d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
source-intel — know your footage before you touch it
Run at edit step 0.5, after scaffold, before transcribe. Output:
10_WORK/source_intel.json— every downstream step reads this.
What it produces
{
"source": "00_SOURCE/video.mp4",
"duration_s": 1847.3,
"resolution": "3840x2160",
"fps": 29.97,
"codec": "h264",
"faces": {
"count": 2,
"primary": {
"avg_x_pct": 0.52,
"avg_y_pct": 0.35,
"avg_size_pct": 0.08,
"movement_range_x_pct": 0.15,
"movement_range_y_pct": 0.04,
"classification": "tight"
},
"secondary": {
"avg_x_pct": 0.28,
"avg_y_pct": 0.38,
"avg_size_pct": 0.05,
"classification": "medium"
},
"classifications": "tight = face>5% | medium = 2-5% | wide = 0.5-2% | extreme_wide = <0.5%"
},
"scenes": {
"count": 14,
"avg_duration_s": 131.9,
"changes_at_s": [0, 45.2, 89.1, ...],
"is_multicam": true,
"dominant_angles": ["tight_host", "tight_guest", "wide_two_shot"]
},
"audio": {
"channels": 2,
"mean_volume_db": -22.4,
"max_volume_db": -3.1,
"noise_floor_db": -48.2,
"has_hum_60hz": false,
"has_clipping": false,
"speech_ratio": 0.74,
"silence_ratio": 0.26,
"quality": "clean"
},
"recommendations": {
"reframe_preset": "stage",
"reframe_zoom": 1.6,
"caption_height": 0.50,
"needs_notch_filter": false,
"needs_denoise": false,
"mic_routing": "mix_both",
"notes": ["Face is 8% of frame — default zoom is fine", "2 speakers detected — use dual-color captions"]
}
}
How to run
python3 ${CLAUDE_PLUGIN_ROOT}/skills/source-intel/scripts/analyze.py \
--source 00_SOURCE/video.mp4 \
--out 10_WORK/source_intel.json
Optional flags:
--sample-interval 10— extract a frame every N seconds (default: 10)--audio-only— skip video analysis, just probe audio--faces-only— skip audio analysis, just detect faces
What downstream steps use it for
What ships with it
2 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.
- 9d ago First seen · 130 lines · 90 tokens per session scan A fb4f7ea3610e
source-intel is a skill published in the GitHub repository maddexritter-rgb/vibe-editing (7 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 1,262 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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