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 hassancs91/claude-faceless-shorts-creator --skill suggest-sfxgit clone --depth 1 https://github.com/hassancs91/claude-faceless-shorts-creatorWrote 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/hassancs91/claude-faceless-shorts-creator/suggest-sfx)<a href="https://agentmods.dev/skills/hassancs91/claude-faceless-shorts-creator/suggest-sfx"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/suggest-sfx/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/hassancs91/claude-faceless-shorts-creator/suggest-sfx"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-faceless-shorts-creator/suggest-sfx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00169 | $0.02821 |
| Opus 5 | $0.00084 | $0.01411 |
| Sonnet 5 | $0.00034 | $0.00564 |
| Haiku 4.5 | $0.00017 | $0.00282 |
Grade A, and why
suggest-sfx 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
suggest-sfx — the SFX pass
Take a rendered, voiced short and add tasteful sound effects, synced to the visual beats and the narration, drawn from a shared, growing SFX library. Work collaboratively and beat-by-beat; the user audits the plan and gives notes.
The shape: a declarative plan (sfx-plan.json) is the source of truth → a tool consumes it
(tools/mix_sfx.py) → a library grows (media/library/sfx/) → a hard USER-AUDIT gate
before anything is mixed.
Sound taste is a brand contract — read brand.md §7 every time. The house style is calm/premium
(Linear / Anthropic / Vercel), felt-not-heard, always under the voice. NOT MrBeast-loud.
Inputs (read these first, every session)
brand.md§7 (Sound design) — the SFX taste contract: subtlety, density, palette, levels, sync, signature motifs, source policy. Non-negotiable.shorts/short-N-<niche>/beats.json— the beats and REAL per-word voice times (written back bygen_voice.py). Sync cues to these words (a pop on "boom", a chime on "free").- The shot source
remotion/src/shots/short-N/*.tsx— the INTERNAL animation frames are where the real visual beats are (piece lands, digit pops, badge stamps). Read the shot, convert its local frame to global time:at_s = (local_frame + sequence_from) / fps. Do not guess — the cue must land on the exact frame the thing happens. media/library/sfx/catalog.json+palette.json— the library you draw from and grow.
The library (media/library/sfx/) — the durable asset
palette.json— generation recipes: generic, reusable sound ids + prompts + duration + tags. The source of truth for what the library SHOULD contain.catalog.json— the manifest of what EXISTS:{id, file, category, tags, duration_s, peak_dbfs, loudness_lufs, source, model, license, prompt, used_in}per clip. Written bygen_sfx.py.clips/*.mp3— loudness-normalized clips (~−20 LUFS, −1.5 dBFS ceiling) so a plan's per-cuegain_dbis perceptually meaningful.- Library-first, always. Reuse an existing clip before generating. Name/tag clips GENERICALLY
(
ui-toggle-on,whoosh-soft,pop-reveal) so future videos reuse them — the library is the durable asset, each video is one draw from it. Only genuinely-missing sounds get added topalette.jsonand generated.
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 · 151 lines · 169 tokens per session scan A b0616e4e8728
suggest-sfx is a skill published in the GitHub repository hassancs91/claude-faceless-shorts-creator (232 stars, last pushed 25d ago), licensed MIT. It adds 169 tokens to every session and 2,821 once invoked, about $0.0008 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 2026-08-30.
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