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.
npx skills add palmier-io/palmier-skills --skill multi-cam-editinggit clone --depth 1 https://github.com/palmier-io/palmier-skillsWrote 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/palmier-io/palmier-skills/multi-cam-editing)<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/multi-cam-editing"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/multi-cam-editing/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/palmier-io/palmier-skills/multi-cam-editing"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/multi-cam-editing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.03470 |
| Opus 5.5 | $0.00038 | $0.01388 |
| Sonnet 5.5 | $0.00019 | $0.00694 |
| Haiku 4.5 | $0.00010 | $0.00347 |
Grade A, and why
multi-cam-editing 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Cam Editing
Core principle
Always start from a multicam group. Do not manually stack angles and hope they stay aligned — manage_multicam syncs members by audio, locks their timing, and lets change_cam switch what the viewer sees without breaking sync. Editing is deliberate: know whether cameras are speaker angles or A/B coverage, trim with soft landings at sentence ends and tighter joins mid-thought, and put picture cuts on the same seams as audio cuts (especially B-cam). For tight, rapid, or chaotic dialogue, err on the side of not cutting — messy joins hurt more than a few extra seconds.
Workflow checklist
- [ ] 1. Inventory media — cameras, mics, who is on which file
- [ ] 2. Create multicam group (manage_multicam) — never skip this
- [ ] 3. Verify sync + mic ↔ person mapping
- [ ] 4. Agree trim goals with the user (format-specific)
- [ ] 5. Trim / tighten (get_transcript → remove_words / remove_silence)
- [ ] 6. Program the cut (change_cam — speaker cams + wide/layout)
- [ ] 7. Review with get_multicam + inspect_timeline
Step 1: Inventory the session
get_media()
get_timeline()
Classify every source before grouping:
| Role | What it is | kind in manage_multicam |
|---|---|---|
| Close / single | One person framed | angle (or both if that file's audio is their mic) |
| Master wide | Whole set / all participants in frame | angle (label it wide) |
| Dedicated mic | Lav, recorder, mix bus with no useful picture | mic |
| Cam + own audio | Remote podcast / Zoom-style per-person file | both |
Decide what the cameras represent — this drives the whole program cut:
| Setup | Cameras mean | Cut strategy |
|---|---|---|
| Speaker cams | Each angle is a different person (host / guest / panel) | Default to whoever is talking; wide/layout for overlap |
| A-cam / B-cam | Same subject or scene, different angles (hero + alternate) | Stay on A-cam most of the time; use B-cam sparingly where it earns its keep (reaction, emphasis, cover a jump, visual variety on a long hold) |
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.
- 2mo ago First seen · 242 lines · 95 tokens per session scan A 0ced8caf49ed
multi-cam-editing is a skill published in the GitHub repository palmier-io/palmier-skills (83 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 95 tokens to every session and 3,470 once invoked, about $0.0004 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 2026-08-30.
multi-cam-editing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| multi-cam-editingpalmier-io/palmier-skills | Skill | 83 | 2mo ago | Apache-2.0 | A | 95 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |