premiere-mcp-editor-cn: Skill for Codex

.codex/skills/premiere-natural-language-edit-planning/SKILL.md

premiere-natural-language-edit-planning is a skill for Codex from sylphiette269/premiere-mcp-editor-cn. It costs 32 tokens per session (317 once invoked), scanned A, original, MIT.

A rule-based planner that turns a plain-language video editing request into consistent Adobe Premiere assembly settings.

In plain words
What is it for?
Use it to plan clip lengths, transitions, motion styles, and other high-level edit settings when the user describes the desired video directly.
Why use it?
It avoids relying on an external AI service and preserves unfamiliar style words instead of silently discarding them.

Skill for Codex

Written for Codex: installed under .codex/.

This is sylphiette269/premiere-mcp-editor-cn's own configuration. It tells Codex how to work on premiere-mcp-editor-cn itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything premiere-mcp-editor-cn configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sylphiette269/premiere-mcp-editor-cn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sylphiette269/premiere-mcp-editor-cn/main/.codex/skills/premiere-natural-language-edit-planning/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/sylphiette269/premiere-mcp-editor-cn

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-natural-language-edit-planning

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/sylphiette269/premiere-mcp-editor-cn/premiere-natural-language-edit-planning"><img src="https://agentmods.dev/badge/skills/sylphiette269/premiere-mcp-editor-cn/premiere-natural-language-edit-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 317 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.
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 $0.00032 $0.00317
Opus 5 $0.00016 $0.00159
Sonnet 5 $0.00006 $0.00063
Haiku 4.5 $0.00003 $0.00032

Measured 12d ago against content hash 8ea437ba3b75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

premiere-natural-language-edit-planning 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.

.codex/skills/premiere-natural-language-edit-planning/SKILL.md · 38 lines

What it actually says

Premiere Natural-Language Edit Planning

Overview

This skill covers the prompt -> parsed intent -> assembly defaults route inside premiere-mcp.

When to Use

  • The user describes the target video directly instead of supplying a guide
  • The edit still needs deterministic clipDuration, transitionName, and motionStyle
  • The repo should preserve unparsed style language instead of failing on unknown words

Required Workflow

  1. Parse the prompt with keyword and regex rules first.
  2. Build an explicit assembly plan from the parsed intent.
  3. Keep unresolved style language in visualStyle; do not discard it.
  4. Use the derived plan only for missing high-level assembly settings.
  5. If the edit still depends on a guide or source folder review, run the relevant planning or review step before assembly.

Guardrails

  • Do not call an external LLM API to parse the prompt.
  • Do not silently force Cross Dissolve unless the parsed plan actually requests a clean transition.
  • Do not pretend a prompt-only plan can replace source-folder review when asset selection is still ambiguous.
  • Do not drop the raw prompt from the resulting plan.

Common Mistakes

  • Treating every descriptive adjective as a hard effect parameter
  • Overwriting explicit tool arguments with prompt-derived defaults
  • Returning only free-form prose instead of structured assembly defaults
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. 12d ago First seen · 38 lines · 32 tokens per session scan A 8ea437ba3b75

Subscribe to this mod's changes

premiere-natural-language-edit-planning is a skill published in the GitHub repository sylphiette269/premiere-mcp-editor-cn (7 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 317 once invoked, about $0.0002 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.

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