Borrowing it
Nothing to install: this file belongs to diodeme/Gold-Band. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/diodeme/Gold-Band/main/.agents/skills/remotion/SKILL.mdgit clone --depth 1 https://github.com/diodeme/Gold-BandWrote 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/diodeme/gold-band/remotion)<a href="https://agentmods.dev/skills/diodeme/gold-band/remotion"><img src="https://agentmods.dev/badge/skills/diodeme/gold-band/remotion/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/diodeme/gold-band/remotion"><img src="https://agentmods.dev/badge/skills/diodeme/gold-band/remotion.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00022 | $0.03020 |
| Opus 5.5 | $0.00009 | $0.01208 |
| Sonnet 5.5 | $0.00004 | $0.00604 |
| Haiku 4.5 | $0.00002 | $0.00302 |
Grade A, and why
remotion scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Use `web_fetch` or `Bash` with `curl` to download screenshots The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
6 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.
- 2mo ago First seen · 394 lines · 22 tokens per session scan A 34fde6f0d4ff
remotion is a skill published in the GitHub repository diodeme/Gold-Band (162 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 22 tokens to every session and 3,020 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
remotion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| remotiondiodeme/Gold-Band | Skill | 162 | 3d ago | AGPL-3.0 | A | 22 | Claude Code |
| harness-creatorwalkinglabs/learn-harness-engineering | Skill | 23k | 15d ago | MIT | A | 142 | Codex |
| capabilitieschaitanyagiri/munder-difflin | Skill | 9.3k | 6d ago | MIT | A | 69 | Claude Code |
| temporalchaitanyagiri/munder-difflin | Skill | 9.3k | 6d ago | MIT | A | 114 | Claude Code |
| md-auditchaitanyagiri/munder-difflin | Skill | 9.3k | 6d ago | MIT | A | 85 | Claude Code |
| last30Dayschaitanyagiri/munder-difflin | Skill | 9.3k | 6d ago | MIT | A | 83 | Claude Code |
| thisQuarterchaitanyagiri/munder-difflin | Skill | 9.3k | 6d ago | MIT | A | 78 | Claude Code |