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 Liamrjohnston/remotion-motion-graphics-skill --skill terminal-insertsgit clone --depth 1 https://github.com/Liamrjohnston/remotion-motion-graphics-skillWrote 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/liamrjohnston/remotion-motion-graphics-skill/terminal-inserts)<a href="https://agentmods.dev/skills/liamrjohnston/remotion-motion-graphics-skill/terminal-inserts"><img src="https://agentmods.dev/badge/skills/liamrjohnston/remotion-motion-graphics-skill/terminal-inserts/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/liamrjohnston/remotion-motion-graphics-skill/terminal-inserts"><img src="https://agentmods.dev/badge/skills/liamrjohnston/remotion-motion-graphics-skill/terminal-inserts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00023 | $0.01581 |
| Opus 5.5 | $0.00009 | $0.00632 |
| Sonnet 5.5 | $0.00005 | $0.00316 |
| Haiku 4.5 | $0.00002 | $0.00158 |
Grade A, and why
terminal-inserts 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 1mo 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terminal Inserts
Use with remotion-best-practices, motion-graphics, and cinematic-camera for Claude Code, Codex, MCP, agents, skills, repository workflows, automation demos, and authentic CLI inserts.
Mandatory intake
Follow the motion-graphics intake gate before coding. If not already specified, ask:
Which format do you want: 4:3 half-screen Instagram insert or 9:16 full-screen Instagram? And which background: warm light, clean dark, light grid, or dark grid?
The terminal window may remain charcoal on any chosen surface. A terminal object does not force the entire scene to be dark.
Absolute visual ban
- Zero neon, fluorescent green, electric cyan, electric purple, or multicolor AI palettes.
- Zero glow, bloom, luminous edges, colored shadow, radial color wash, halo, aura, or light spill.
- No glassmorphism, shiny gradients, cyberpunk atmosphere, scanline spectacle, or “hacker movie” styling.
- No cyan-purple gradients or green glow around text, cursors, panels, or ASCII words.
- Use flat ink/charcoal surfaces, neutral borders, neutral shadows, and at most one restrained flat product or ANSI accent.
If any glow or neon appears in a still, reject the render and remove it before delivery.
Goal and references
Make the idea obvious in under two seconds using an authentic terminal metaphor—not a random code screenshot, checklist UI, dashboard, or generic AI animation.
Inspect the actual approved examples before coding:
assets/examples/terminal-install.mp4— command → large terminal word → authentic CLI lines → success state.assets/examples/outreach-sequence-generator.mp4— command → status → structured generated output.- Repository example
examples/kickbacks-spinner-terminals.mp4— multiple CLI sessions in one connected world.
Use contact sheets in references/ when available. Continue their typography, density, spacing, and motion, while enforcing the zero-glow rule above.
Surface and terminal specs
- Match the selected destination exactly.
- 4:3 insert: 1440×1080, 30fps unless the user specifies otherwise.
- 9:16 full-screen: 1080×1920, 30fps unless specified otherwise.
- Terminal:
#101214/#15181B, charcoal title bar, 1px neutral border, neutral black shadow. - Scene surface comes from the user’s selected warm light, clean dark, light grid, or dark grid option.
- Typography: monospace only inside the terminal. Prefer SF Mono, JetBrains Mono, IBM Plex Mono, or Berkeley Mono fallback.
- Text: warm white and muted gray.
- Accent: one restrained flat product color or subdued terminal green such as
#4F8F6D; no fluorescent#39FF88. - macOS traffic-light dots are allowed as small authentic chrome, not as a decorative palette.
What ships with it
4 files 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.
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.
- 1mo ago First seen · 156 lines · 23 tokens per session scan A 55b24ce68054
terminal-inserts is a skill published in the GitHub repository Liamrjohnston/remotion-motion-graphics-skill (135 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 1,581 once invoked, about $0.0001 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.
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