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.
curl -O https://raw.githubusercontent.com/sylphiette269/premiere-mcp-editor-cn/main/.codex/skills/premiere-natural-language-edit-planning/SKILL.mdgit clone --depth 1 https://github.com/sylphiette269/premiere-mcp-editor-cnWrote 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/sylphiette269/premiere-mcp-editor-cn/premiere-natural-language-edit-planning)<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/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/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>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 | $0.00032 | $0.00317 |
| Opus 5 | $0.00016 | $0.00159 |
| Sonnet 5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
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.
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, andmotionStyle - The repo should preserve unparsed style language instead of failing on unknown words
Required Workflow
- Parse the prompt with keyword and regex rules first.
- Build an explicit assembly plan from the parsed intent.
- Keep unresolved style language in
visualStyle; do not discard it. - Use the derived plan only for missing high-level assembly settings.
- 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 Dissolveunless 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
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 · 38 lines · 32 tokens per session scan A 8ea437ba3b75
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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