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 dialogue-editing-adrgit 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/dialogue-editing-adr)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/dialogue-editing-adr"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/dialogue-editing-adr/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/dialogue-editing-adr"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/dialogue-editing-adr.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 | $0.00110 | $0.05183 |
| Opus 5 | $0.00055 | $0.02592 |
| Sonnet 5 | $0.00022 | $0.01037 |
| Haiku 4.5 | $0.00011 | $0.00518 |
Grade A, and why
dialogue-editing-adr 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dialogue editing and ADR direction
Use this skill when spoken audio must carry story, brand, instruction, character, or accessibility. Treat dialogue as a performance and an editorial contract, not just a waveform. The job is to preserve intelligibility, intent, continuity, and rights while leaving the mixer, captioner, localization team, or downstream video agent with unambiguous material.
Evidence posture
Documented facts below come from professional standards, official platform guidance, official tool documentation, or rights organizations. Volatile platform/tool/legal facts were checked on 2026-07-10. Empirical observations are limited to listening/QC behaviors an agent should perform on the actual project; no universal audio-processing result is assumed without auditioning. Production heuristics are practical defaults to test against picture and delivery specs, not laws of audio.
First pass: decide what kind of dialogue problem this is
Classify each line or section before touching it:
production-edit: usable source audio needs cleanup, smoothing, fill, conform, or comping.performance-fix: the words are technically usable but the read, emotion, pronunciation, emphasis, or timing fails the scene.ADR-replace: production sound is not intelligible, has unrecoverable noise/clipping, contains changed script, needs a legal/brand correction, or must match a new cut.localization-dub: new language or regional version must preserve meaning, performance, timing, and picture sync.VO-style-dub: original voice remains partly perceptible or intentionally dipped under a localized voice-over.synthetic-rerender: a licensed synthetic voice or generic TTS voice must be regenerated, edited, or directed.caption/transcript-handoff: text assets must represent the final heard audio accurately and accessibly.
Do not choose ADR or synthetic replacement merely because repair is inconvenient. First determine whether the original performance can be made intelligible without audible artifacts, whether the actor/voice rights permit replacement, and whether the replacement will match picture and continuity.
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 · 345 lines · 110 tokens per session scan A 65cc4b4e1821
dialogue-editing-adr is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 1mo ago), licensed MIT. It adds 110 tokens to every session and 5,183 once invoked, about $0.0006 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-caption-layout-director
Lays out subtitles for an existing ClipTalk timeline, including top/bottom placement, safe margins, readable wrapping, bilingual order, and review rendering.
video-translate
Translate and dub existing videos into multiple languages using HeyGen. Use when: (1) Translating a video into another language, (2) Dubbing video content with lip-sync, (3) Creating multi-language versions of existing videos, (4) Audio-only translation without lip-sync, (5) Working with HeyGen's /v2/videotranslate…
Stable Diffusion
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
Whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual…
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.