premiere-dialogue-cut

premiere-dialogue-cut is a skill for Codex from ayushozha/AdobePremiereProMCP. It costs 65 tokens per session (746 once invoked), scanned A, original, MIT.

A workflow for tightening spoken-word edits in Adobe Premiere Pro, a video-editing program. It finds silence, keeps natural pauses, preserves an untouched backup sequence, and checks that sound and picture stay aligned.

In plain words
What is it for?
Use it to plan or speed up rough cuts for interviews, podcasts, tutorials, and talking-head videos. It also supports dialogue cleanup, pause removal, and jump-cut planning.
Why use it?
It reduces manual searching and cutting of pauses while protecting the original edit. The evidence-based plan helps avoid making speech sound unnaturally rushed or losing the ability to recover the source.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to plan or speed up rough cuts for interviews, podcasts, tutorials, and talking-head videos. It also supports dialogue cleanup, pause removal, and jump-cut planning.

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Install with agentmods
npx agentmods add skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut
Install

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.

Any agent
npx skills add ayushozha/AdobePremiereProMCP --skill premiere-dialogue-cut
Clone the repo
git clone --depth 1 https://github.com/ayushozha/AdobePremiereProMCP

Made for: Codex.

Wrote 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.

agentmods badge for premiere-dialogue-cut

README.md
[![agentmods](https://agentmods.dev/badge/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut/github.svg)](https://agentmods.dev/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut)
Your own site
<a href="https://agentmods.dev/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut"><img src="https://agentmods.dev/badge/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut/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.

agentmods 80×15 button for premiere-dialogue-cut

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut"><img src="https://agentmods.dev/badge/skills/ayushozha/adobepremierepromcp/premiere-dialogue-cut.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 746 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00746
Opus 5 $0.00032 $0.00373
Sonnet 5 $0.00013 $0.00149
Haiku 4.5 $0.00006 $0.00075

Measured 13d ago against content hash b7ba1a24c06d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

premiere-dialogue-cut 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 13d 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.

skills/premiere-dialogue-cut/SKILL.md · 31 lines

How it starts

The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Premiere Dialogue Cut

Build an evidence-backed cut plan before touching the timeline. Favor natural pacing over maximum compression.

Required server profile

Start or restart the MCP server with MCP_TOOL_PROFILE=dialogue. The default standard profile also contains this workflow, but dialogue is the smaller dedicated surface.

Workflow

  1. Call premiere_ping, premiere_get_project, and premiere_get_timeline. Stop if the host, project, or target sequence is unavailable.
  2. Resolve the active sequence index with premiere_get_sequence_list. Before duplication, capture the source settings and a canonical timeline inventory: track counts, clip order, source-media paths, source in/out ranges, timeline start/end ranges, speed, and duration. Call premiere_duplicate_sequence, re-read the list to identify exactly one new copy, and activate it with premiere_set_active_sequence. Re-read the same canonical fields and require them to match while ignoring the clone name and sequence/clip identities. Do not compare sequence hashes across distinct sequences: the hash intentionally includes sequence and clip identity, so a valid clone has a different hash. Leave the source sequence untouched as the recovery boundary. premiere_snapshot_timeline and premiere_save_sequence_version may record before/after audit data, but they cannot restore a whole sequence.
  3. List the dialogue clips with premiere_get_clips_on_track, then call premiere_get_clip_info to resolve each source-media path, source in/out range, speed, and timeline range.
  4. Call premiere_analyze_waveform once per unique source path. Use its decoded-audio silence_regions; the legacy premiere_detect_silence host command only returns clip metadata and is not silence evidence. Stop if waveform analysis is unavailable or empty for a clip that should contain audio.
  5. Intersect source silence with each used source range and map it to timeline time. Stop on reversed, retimed, or variable-frame-rate media unless that mapping can be verified. Keep 80–150 ms before speech, 120–250 ms after speech, and preserve longer rhetorical pauses unless the user asks for an aggressive cut.
  6. Show a proposed plan with edit count, removed duration, shortest retained pause, affected tracks, and protected markers before applying changes.
  7. Apply approved edits in reverse timeline order with premiere_razor_clip, premiere_remove_clip_from_track, and premiere_ripple_delete_gap, or use premiere_ripple_trim when it expresses the same edit safely.
  8. Re-read the timeline and sequence hash. Verify duration change, A/V sync, clip ordering, and that no edit overlaps protected markers.

Read the full file on GitHub · 31 lines

Files

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.

Changes

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.

  1. 13d ago First seen · 31 lines · 65 tokens per session scan A b7ba1a24c06d

Subscribe to this mod's changes

premiere-dialogue-cut is a skill published in the GitHub repository ayushozha/AdobePremiereProMCP (99 stars, last pushed 12d ago), licensed MIT. It adds 65 tokens to every session and 746 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.

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