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 contextgo/contextgo --skill remotion-ai-mediagit clone --depth 1 https://github.com/contextgo/contextgoWrote 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/contextgo/contextgo/remotion-ai-media)<a href="https://agentmods.dev/skills/contextgo/contextgo/remotion-ai-media"><img src="https://agentmods.dev/badge/skills/contextgo/contextgo/remotion-ai-media.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.00194 |
| Opus 5 | $0.00017 | $0.00097 |
| Sonnet 5 | $0.00007 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
remotion-ai-media 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 8d 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
Remotion AI Media
Use this skill when Remotion needs generated images, videos, voiceover, music, sound effects, or captions.
Boundary
Remotion Video Studio does not call generation models directly. Route generation through the user's configured Infermesh / AI Media Studio access, then consume the resulting files.
Asset Ledger
For every generated asset, record:
- asset id and file path
- Infermesh task id or ContextGo generation reference
- model/provider id when available
- prompt or source brief reference
- generation timestamp
- transformations applied before render
- final
public/path used by Remotion - license or usage caveat
Store ledgers under docs/videos/remotion/assets/ and link them from render manifests.
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.
- 8d ago First seen · 28 lines · 34 tokens per session scan A f616e7267463
remotion-ai-media is a skill published in the GitHub repository contextgo/contextgo (54 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 194 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 2026-08-30.
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