Borrowing it
Nothing to install: this file belongs to nguyenph88/Media-Editor-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nguyenph88/Media-Editor-MCP/main/.claude/skills/pp-lyric-reel/SKILL.mdgit clone --depth 1 https://github.com/nguyenph88/Media-Editor-MCPWrote 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/nguyenph88/media-editor-mcp/pp-lyric-reel)<a href="https://agentmods.dev/skills/nguyenph88/media-editor-mcp/pp-lyric-reel"><img src="https://agentmods.dev/badge/skills/nguyenph88/media-editor-mcp/pp-lyric-reel/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/nguyenph88/media-editor-mcp/pp-lyric-reel"><img src="https://agentmods.dev/badge/skills/nguyenph88/media-editor-mcp/pp-lyric-reel.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 | $0.00150 | $0.02026 |
| Opus 5 | $0.00075 | $0.01013 |
| Sonnet 5 | $0.00030 | $0.00405 |
| Haiku 4.5 | $0.00015 | $0.00203 |
Grade A, and why
pp-lyric-reel 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.
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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lyric-illustrated reel — stock video synced to the words
Feed a song; for each sung line, a stock clip that illustrates its meaning plays while it's sung. e.g. "lặng nhìn mùa thu xưa lá rơi bên thềm" → translate + interpret → search "autumn leaves falling porch, cinematic" → that clip fills the line's span. Reuses [[pp-create-reel-once]]'s build machinery; only slot allocation differs (lyric-spans, not clip spans). Vertical 9:16, visuals only.
The creative step is yours, in-conversation. transcribe returns the lyrics + timestamps; YOU translate each line AND turn it into a concrete visual search query. No translation tool — that semantic leap is the point.
Inputs
<music file>— the song (required).[startSec endSec]— the window of the song to illustrate. Capped at 60s (ifendSec − startSec > 60, clampendSec = startSec + 60). If omitted, auto-start at the first vocal and take up to 60s from there (see Step 0).[horizontal]— 16:9 instead of the default portrait 9:16.[footageDir]— where to save downloaded clips. Default a temp dir; the user may name a folder (e.g.D:\Video Makers\Short Footages\Random).
Pre-flight
premiere_health + analysis_health green. Honor the under-20MB test-media preference. Confirm a stock key is configured — fetch_stock_videos errors clearly if PEXELS_API_KEY/PIXABAY_API_KEY are unset.
Step 0 — Cut a bounded ≤60s slice FIRST (mandatory)
Never transcribe a full song — a 3-4 min track can hang transcribe for minutes-to-hours. Always cut a bounded slice with ffmpeg (imageio_ffmpeg.get_ffmpeg_exe(), -ss START -t LEN) and run all analysis on the slice. The slice is also "the music" placed on A1, so the reel = the slice.
- Range given: slice =
[startSec, min(endSec, startSec+60)]. - No range (auto): the slice MUST start on the vocals —
transcribeguesses language from the file's START, and an instrumental intro makes it mis-detect (e.g. picks English on a Vietnamese song → garbled text). So:- Cut a probe slice
[0, 90],transcribeit (text may be garbage if the intro is instrumental — we only need timing). First segment with real text → vocal onsetV(in original time). - Final slice =
[V, min(V+60, songEnd)]. This starts on the vocals → correct language.
- Cut a probe slice
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.
- 12d ago First seen · 68 lines · 150 tokens per session scan A 3ae7fae8230e
pp-lyric-reel is a skill published in the GitHub repository nguyenph88/Media-Editor-MCP (0 stars, last pushed 3mo ago), licensed MIT. It adds 150 tokens to every session and 2,026 once invoked, about $0.0007 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…