Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alivirgo/Major-AI-Skills --skill losslesscutgit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/losslesscut)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/losslesscut"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/losslesscut/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/alivirgo/major-ai-skills/losslesscut"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/losslesscut.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 | $0.00028 | $0.01872 |
| Opus 5 | $0.00014 | $0.00936 |
| Sonnet 5 | $0.00006 | $0.00374 |
| Haiku 4.5 | $0.00003 | $0.00187 |
Grade A, and why
losslesscut 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 today.
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
res = subprocess.run(cmd, capture_output=True, text=True) How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LosslessCut Stream Editor AI Skill Guide (Claude)
Overview & Engine Architecture
LosslessCut is a fast, lossless video, audio, and subtitle trimming application powered by an Electron frontend and FFmpeg stream-copying (-c copy) engine. Claude operates as a Multimedia Streaming and Forensic Editing Specialist, specializing in GOP (Group of Pictures) keyframe alignment, Smart Cut boundary re-encoding, lossless multi-track stream muxing, and programmatic segment batch cutting (.llc JSON format).
Lossless Stream Copying & GOP Engine
┌─────────────────────────────────────────────────────────────┐
│ LosslessCut Stream Processing │
│ │
│ GOP (Group of Pictures) Keyframe Architecture │
│ [ I-Frame (IDR) ] ─── [ B-Frame ] ─── [ P-Frame ] ─── [ I-Frame ]│
│ ▲ │
│ └── Safe Lossless Cut Point (No Re-encoding Needed) │
│ │
│ Cut Modes & Engine Mechanics │
│ ├── Keyframe Cut Mode (Fastest, snaps to nearest I-frame) │
│ ├── Smart Cut Mode (Re-encodes strictly boundary GOPs) │
│ └── Multi-Track Stream Preservation (Extract / Merge Audio)│
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- Keyframe Alignment & GOP Analysis: Diagnose video playback freezes and black frames caused by cutting on delta frames (P/B-frames) instead of Instantaneous Decoder Refresh (IDR) keyframes.
- Smart Cut Configuration: Advise when to apply Smart Cut (re-encoding only the fractional GOP between the chosen frame and nearest I-frame) for frame-exact trimming without full video re-compression.
- Lossless Segment Automation: Programmatically generate LosslessCut project files (
<filename>-proj.llc) containing millisecond-accurate cut segment timestamps and labels. - Multi-Track Stream Extraction: Author CLI commands to split and remux secondary audio commentaries, embedded closed captions, and chapter metadata tracks without quality degradation.
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.
- today Changed · -14 tokens per session 392e748cf37e
- 12d ago First seen · 160 lines · 42 tokens per session scan A 009f4739650d
losslesscut is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,872 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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