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 gabrielmoreira/agent-skills-mirror --skill exportgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/export)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/export"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/export/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/gabrielmoreira/agent-skills-mirror/export"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/export.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 | $0.00042 | $0.01982 |
| Opus 5 | $0.00021 | $0.00991 |
| Sonnet 5 | $0.00008 | $0.00396 |
| Haiku 4.5 | $0.00004 | $0.00198 |
Grade A, and why
export 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 10d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Export
Use OpenChatCut's export tools for delivery. An export request should call submit_export (or submit_render_job for async), then use track_export for status and final delivery when the result is not returned immediately.
Default policy:
- Prefer
submit_exportwhen the user asks to export/share/finalize the OpenChatCut timeline. - Keep originals local by default during editing. Upload originals only when a cloud export/proof needs remote assets and the user has not forbidden upload.
- Do not wrap sandbox
ffmpegwork as a OpenChatCut tool. Use sandboxffmpegfor full video processing only when the user explicitly asks for a standalone local-file operation outside a OpenChatCut editing workflow. For OpenChatCut editing tasks, do not produce a pre-edited or flattened local render as the primary review/final deliverable; use OpenChatCut export.
Durable Export
Use submit_export for the execution path:
{
"format": "video",
"codec": "h264",
"resolution": "1080p",
"fps": 30,
"name": "final-cut"
}
Video codec options are h264 (MP4, default) and vp8 (WebM). Video frame-rate options match the editor UI: 24, 25, 30, 50, or 60; omit fps to match the timeline. Audio export is MP3: pass "format":"audio" and omit codec / fps unless you explicitly pass "codec":"mp3".
submit_export returns a durable renderId. Some export types, such as subtitle files, may complete immediately and return downloadUrl; video/audio usually require track_export to wait for completion.
After getting each downloadUrl:
- Resolve the user's Downloads folder:
~/Downloadson macOS/Linux, or%USERPROFILE%\Downloadson Windows. - Before triggering any agent/browser download, check the Downloads folder for fresh Chrome download artifacts from the last few minutes that match the expected export name, extension, or render/download URL basename. Include both completed files and in-progress
.crdownloadfiles. - If a matching fresh
.crdownloadexists, do not trigger another download. Wait until Chrome removes the.crdownloadsuffix and the final file size stops changing, then use that completed file. - If a matching fresh completed file already exists, use it directly instead of downloading again.
- If only older files exist, treat them as collisions, not as the current export.
- Do not overwrite an existing file; choose a safe numbered filename such as
name (1).mp4when needed. - Always download the finished export file into the Downloads folder, not a temp/workspace directory.
- Always show the downloaded video inline in chat. If there are multiple exported videos, download all of them and show every preview, not just the first.
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.
- 10d ago First seen · 128 lines · 42 tokens per session scan A 5076c40f3a15
export is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 1,982 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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