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 transcriptiongit 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/transcription)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/transcription"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/transcription/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/transcription"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/transcription.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 30 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00068 | $0.01009 |
| Opus 5 | $0.00034 | $0.00504 |
| Sonnet 5 | $0.00014 | $0.00202 |
| Haiku 4.5 | $0.00007 | $0.00101 |
Grade A, and why
transcription 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 12d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transcription
For newly imported local/client-held media, use import_media to start transcription, then wait with track_progress.
Typical flow:
read_projectwithview: "assets"to get the video/audio asset ID and transcript status.- If this is a fresh client-held import, make sure it went through
import_media action=create_sessionplus the OpenChatCut media import helper. - Call
track_progresswithaction:"wait",target:"transcription", andassetIdsset to the asset ID or prefix. - Use
find_transcriptto search transcript text and confirm word timestamps. - Use
edit_captionsactionenableorread_captionsas needed once transcription is ready.
Example:
{
"action": "wait",
"target": "transcription",
"assetIds": "13c1aa02cd"
}
Uploaded assets start ASR automatically on ingest, but nothing waits for it. Always use track_progress for readiness.
For local-only video assets with local-only; original upload deferred in read_project, transcription cannot run until the bytes are reachable by the backend. Import the source again via the asset-import skill (which uploads to S3) or download_media from a public URL; do not ask the user to relink it manually in the editor.
Stuck Transcription And Retry
Do not declare transcription stuck from one non-terminal status. Base the decision on both asset length and the time the agent has actually waited in this task.
- Read the asset with
read_projectview: "assets"and note its duration when available. - Start counting elapsed wait time from the first
track_progressaction:"wait"or from the earliest reliable in-task timestamp where the agent observed transcription as pending/running. - If transcription reports an explicit failed, errored, or timed-out terminal state, retry immediately after confirming the asset is remote-ready and is video/audio.
- If transcription remains pending/running with no failure, treat it as stuck only after elapsed wait time exceeds
max(5 minutes, min(60 minutes, 2 × asset duration)). For example, wait at least 5 minutes for a 30-second clip, about 20 minutes for a 10-minute asset, and about 60 minutes for a 1-hour or longer asset. - If duration is unknown, wait at least 10 minutes across more than one
track_progresscall before treating it as stuck, unless the tool reports an explicit failure.
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.
- 12d ago First seen · 65 lines · 68 tokens per session scan A 4a47ef20557e
transcription is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 1,009 once invoked, about $0.0003 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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