premiere-social-reframe

premiere-social-reframe is a skill for Codex from ayushozha/AdobePremiereProMCP. It costs 68 tokens per session (856 once invoked), scanned A, original, MIT.

A workflow for creating vertical, square, and other platform-specific versions of an Adobe Premiere Pro video sequence. It makes copies from the master edit and supports checks for framing, titles, captions, and safe areas.

In plain words
What is it for?
Use it for 9:16 vertical videos, 1:1 square videos, social-media cutdowns, Auto Reframe work, safe-zone checks, title repositioning, and platform-specific exports.
Why use it?
It avoids changing the only copy of the master video while preparing social-media versions. Verification helps confirm that the intended source was used and that the new sequence was created correctly.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for 9:16 vertical videos, 1:1 square videos, social-media cutdowns, Auto Reframe work, safe-zone checks, title repositioning, and platform-specific exports.

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Install with agentmods
npx agentmods add skills/ayushozha/adobepremierepromcp/premiere-social-reframe
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-social-reframe
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-social-reframe

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ayushozha/adobepremierepromcp/premiere-social-reframe"><img src="https://agentmods.dev/badge/skills/ayushozha/adobepremierepromcp/premiere-social-reframe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 856 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 $0.00068 $0.00856
Opus 5 $0.00034 $0.00428
Sonnet 5 $0.00014 $0.00171
Haiku 4.5 $0.00007 $0.00086

Measured 13d ago against content hash aaf17256fde1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

premiere-social-reframe 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-social-reframe/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Premiere Social Reframe

Create derivatives from the master; never resize the only copy of a sequence.

Required server profile

Start or restart the MCP server with MCP_TOOL_PROFILE=social; the default standard profile does not expose the complete reframe workflow.

Workflow

  1. Resolve the intended source's unique index and ID with premiere_get_sequence_list. Activate that index with premiere_set_active_sequence, require verified: true and the exact source ID, then re-read the sequence list and stop unless activeSequenceID is still that ID.
  2. With the verified source active, record its hash, resolution, duration, markers from premiere_get_sequence_markers, and captions. Establish the recovery boundary; treat any timeline snapshot or saved sequence version as audit data only.
  3. For a standard 9:16 or 1:1 derivative, call premiere_create_vertical_version or premiere_create_square_version with the verified source index. Each compound tool creates its own clone, so do not duplicate twice. Require a non-empty returned derivative ID, activeSequenceID equal to that derivative ID, and exactly one new sequence in a fresh sequence-list readback.
  4. For a custom aspect ratio, call premiere_auto_reframe with the verified source_sequence_id and a unique new_name. Choose motion_preset from Premiere's exact values (slower, default, or faster) and set use_nested_sequences deliberately. Require the returned derivative sequenceID and activeSequenceID to match, then re-read the sequence list and stop unless that ID is active and is the only new sequence. Do not duplicate first unless a separately preserved intermediate is explicitly required.
  5. Keep the returned derivative active. Re-read its captions with premiere_get_captions, then visually review every shot boundary, graphic, and platform safe zone in Premiere. Before each active-sequence-only mutation, re-read the sequence list and stop if the active ID differs. Use premiere_set_position or premiere_set_scale only for visual clips whose values can be read back. Position uses normalized coordinates—(0.5, 0.5) is center and (0, 0) is top-left—not pixels. Reposition captions manually when needed.
  6. Re-read the variant timeline. Verify its duration and edit points still match the master unless a cutdown was explicitly requested.
  7. Find a real .epr path with premiere_list_export_presets_disk or use an explicitly supplied preset. Export the returned derivative index with premiere_export_direct when a blocking export is acceptable. For premiere_export_via_ame, report the job as queued until an external file check sees a stable, non-empty output. Only then call premiere_probe_media and validate dimensions, streams, and duration before reporting success.

Read the full file on GitHub · 33 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 · 33 lines · 68 tokens per session scan A aaf17256fde1

Subscribe to this mod's changes

premiere-social-reframe is a skill published in the GitHub repository ayushozha/AdobePremiereProMCP (99 stars, last pushed 12d ago), licensed MIT. It adds 68 tokens to every session and 856 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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