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edit-video-with-valmera

edit-video-with-valmera is a skill for Claude Code from ABO3SKRALMASAOODI/valmera-mcp. It costs 84 tokens per session (930 once invoked), scanned A, original, MIT.

A workflow for editing video footage uploaded to a hosted editor. It can work with transcripts, pauses, shots, and frames to make non-destructive edits, so the original file remains unchanged and edits can be restored.

In plain words
What is it for?
Use it to remove pauses or filler, cut retakes, add captions, change the frame for vertical video, add b-roll, music, sound effects, zooms, titles, color changes, or blur areas.
Why use it?
Cleaning and restructuring footage manually can take time, especially when removing silence, filler words, retakes, or tangents. Reviewing the transcript and shots first helps preserve the intended meaning.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the valmera plugin — 3 skills, 2 MCP servers shipped together

not rated 0repo 13d ago A scan 84 tokens original MIT

Good fit Use it to remove pauses or filler, cut retakes, add captions, change the frame for vertical video, add b-roll, music, sound effects, zooms, titles, color changes, or blur areas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera
View source ↗ ABO3SKRALMASAOODI/valmera-mcp valmera.io
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 ABO3SKRALMASAOODI/valmera-mcp --skill edit-video-with-valmera
Clone the repo
git clone --depth 1 https://github.com/ABO3SKRALMASAOODI/valmera-mcp

Made for: Claude Code.

Or install valmera, the plugin that ships this one along with the rest of its 3 skills, 2 MCP servers.

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 edit-video-with-valmera

README.md
[![agentmods](https://agentmods.dev/badge/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera/github.svg)](https://agentmods.dev/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera)
Your own site
<a href="https://agentmods.dev/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera"><img src="https://agentmods.dev/badge/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera/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 edit-video-with-valmera

Your own site · 80×15
<a href="https://agentmods.dev/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera"><img src="https://agentmods.dev/badge/skills/abo3skralmasaoodi/valmera-mcp/edit-video-with-valmera.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 930 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 $0.00084 $0.00930
Opus 5.5 $0.00034 $0.00372
Sonnet 5.5 $0.00017 $0.00186
Haiku 4.5 $0.00008 $0.00093

Measured 14d ago against content hash 3c218b364b46, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

edit-video-with-valmera 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 14d 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/edit-video-with-valmera/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Edit a video with Valmera

Valmera is a hosted AI video editor. Its connector gives you editing tools that work on footage the user uploaded to Valmera. Every edit writes a new version of a non-destructive edit decision list (EDL). The original file is never changed, and any cut can be restored.

Workflow

  1. Find the project. Call list_projects. If the user names a video, open that project with open_project. If there are no projects, ask the user to upload the file at https://valmera.io or, if your client can send files, use upload_start and upload_finish. A file path in the chat doesn't upload anything.
  2. Wait for analysis. Call index_status until it reports done. Transcript, shots and silences aren't available before that.
  3. Read before you cut. Use get_transcript or get_words for what was said, find_silences for pauses, get_shots for camera changes, and look_at to see frames at exact times. Summarize what you found when the brief is vague.
  4. Edit in focused steps. For example:
    • Dead air and filler: cut_silences, remove_filler_words, then check get_kept_transcript so no sentence lost a word.
    • Retakes or tangents: search_transcript, then cut_range or keep_segments. restore_range undoes a cut.
    • Captions: add_captions, set_caption_style (size, color, position, active-word highlight), set_caption_fixes for names, then audit_captions.
    • Vertical video: auto_reframe to 9:16, then look_at with output_times to confirm the subject is in frame.
    • B-roll and graphics: research_broll, search_stock, add_stock_media, insert_media, add_title_card, add_text.
    • Audio: find_song or the user's file, then add_music (it ducks under speech), search_sfx and add_sfx, set_master_loudness.
    • Emphasis: suggest_emphasis, punch_in_on_emphasis, add_zoom.
  5. Render and check your own work. Call render_preview with complete=true. Slow tools return a job id: call wait_for_job until it's done, and never report a job id as a finished result. Then watch_video or look_at with rendered=true and fix anything wrong before you report.
  6. Report clearly. List what changed, with output times, and anything you couldn't do.
  7. Export when asked. When the user approves the preview and asks for the file, call export_final with the project id and the reviewed edl_version. Then call wait_for_job, then download_url with kind="final", and share the link.

Read the full file on GitHub · 42 lines

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. 14d ago First seen · 42 lines · 84 tokens per session scan A 3c218b364b46

Subscribe to this mod's changes

edit-video-with-valmera is a skill published in the GitHub repository ABO3SKRALMASAOODI/valmera-mcp (0 stars, last pushed 13d ago), licensed MIT. It adds 84 tokens to every session and 930 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-06.

Creative and mediaagentic-aiai-agentai-video-editoranthropiccaptionsclaude
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