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 calesthio/generative-media-skills --skill video-to-audio-foleygit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/video-to-audio-foley)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/video-to-audio-foley"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/video-to-audio-foley/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/calesthio/generative-media-skills/video-to-audio-foley"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/video-to-audio-foley.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 213 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00068 | $0.05133 |
| Opus 5 | $0.00034 | $0.02567 |
| Sonnet 5 | $0.00014 | $0.01027 |
| Haiku 4.5 | $0.00007 | $0.00513 |
Grade A, and why
video-to-audio-foley 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video-to-audio Foley
Use this skill to turn a silent, generated, animated, game, ad, social, or edit-ready video clip into a credible sound-effects bed. Treat video-to-audio (V2A) as a production accelerator, not as a finished mix. The job is to decide what should be automated, what must be hand-spotted, how to prompt and segment the model, how to preserve sync, and how to verify the result against the picture.
Boundaries
Use automated V2A when:
- the clip is short enough for the available model or can be divided into coherent beats;
- the target is a believable first-pass Foley bed, social clip, animatic, ad temp track, game prototype, or atmospheric pass;
- the visible action has obvious sound causes such as water, footsteps, vehicles, impacts, machinery, crowd, fabric, animals, weather, UI gestures, or prop handling;
- the user can accept iteration and editorial repair.
Do not rely on automated V2A alone when:
- frame-exact sync is mission-critical, such as rhythm games, trailers with hard cuts, slapstick hits, weapon impacts, or product demos where every click matters;
- the output must be delivered as clean reusable game assets or separated stems;
- the source video contains private people, unreleased product footage, client-confidential material, or copyrighted audio you are not allowed to upload to a hosted provider;
- the desired sound is an identifiable real person's voice, a copyrighted sound logo, a famous film/game sound, or a protected musical cue;
- the user needs final dialogue, lip-sync, narration, mix mastering, or music composition rather than Foley/sound effects.
If the user asks for "add sound to this video," first clarify whether they want:
- a single mixed audio track attached to the video;
- separate ambience / Foley / impacts / props / music stems;
- isolated reusable sound assets for a game or library;
- only a prompt/workflow, not generated media.
What is documented versus heuristic
Facts below are source-verified as of 2026-07-10 unless a current project/tool registry says otherwise. Provider endpoints, model IDs, costs, licenses, duration limits, output formats, and commercial-use terms are volatile; re-check live docs before making paid calls or promising a deliverable.
What ships with it
1 file 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.
- 12d ago First seen · 399 lines · 68 tokens per session scan A f7ec7df6ce3f
video-to-audio-foley is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 5,133 once invoked, about $0.0003 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.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…