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 perso-ai/perso-dubbing-plugin --skill dubbinggit clone --depth 1 https://github.com/perso-ai/perso-dubbing-pluginWrote 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/perso-ai/perso-dubbing-plugin/dubbing)<a href="https://agentmods.dev/skills/perso-ai/perso-dubbing-plugin/dubbing"><img src="https://agentmods.dev/badge/skills/perso-ai/perso-dubbing-plugin/dubbing/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/perso-ai/perso-dubbing-plugin/dubbing"><img src="https://agentmods.dev/badge/skills/perso-ai/perso-dubbing-plugin/dubbing.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 MCP Rug Pull · line 158 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00026 | $0.05796 |
| Opus 5 | $0.00013 | $0.02898 |
| Sonnet 5 | $0.00005 | $0.01159 |
| Haiku 4.5 | $0.00003 | $0.00580 |
Grade A, and why
dubbing 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 9d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dubbing
A skill that auto-dubs videos via the Perso AI Dubbing API.
Core rules (must follow)
- Only the worker sees the raw key. Never open the key with
Read, echo it, or pass it as a command-line argument. Workers send it in theXP-API-KEYheader only. - One command = the whole job.
scripts/dubbing.mjshandles upload · split · translate · merge · save by itself. Never runprepare_input.mjsorprobe_split.mjsbefore it — they are debug tools, andprobe_split.mjsperforms a real upload (the video would upload twice). - Always run
dubbing.mjsin the background. Jobs take minutes to hours; a foreground shell timeout kills the run mid-way. - Languages unspecified → source
auto, targeten. - Multiple languages go in one command (
--target en,zh,ja) — upload/split happens once and is reused per language. Never run once per language (re-uploads the source each time). - Relay progress faithfully. Surface the worker's stdout
[progress]lines to chat, verbatim or summarized — and don't announce steps that didn't appear (splitting/merging exist only for over-limit videos). The indented stderr detail logs don't need relaying. - Keep the user informed while it runs. Dubbing, lip-sync, and audio separation all print a
[status]heartbeat (stage + item counts, e.g.ja 4/6 · en 1/6orseparating — file 2/5, with anext check ~Nmhint), and each finished item streams as a[progress]line. Check the background output ~3 minutes after launch, then on the hinted interval (10 min for media ≤10 min, 30 min for longer): relay any new[progress]line right away, otherwise post the latest[status]line as a one-line update. Never invent percentages, elapsed time, or ETAs — relay only what the lines say. Stops that need the user ([space-select],[split-confirm],[free-limit],[resume-check],[credit-check], credit-out, completion) end the process, so they surface without polling. - Name your runtime for telemetry (silent). Add
--host <claude-code|codex|cursor|antigravity|gemini>to the worker command, naming the agent you are running as, if you can tell. It only tags usage telemetry — never surface it to the user and never ask them about it. Omit it if unsure. - Unsupported formats are skipped automatically and the rest keep processing — relay the skip notice.
- A pause is not a failure. A
[space-select],[split-confirm],[free-limit],[credit-check], or[resume-check]line means the run stopped to ask you something — it exits 0 (so it never looks like an error), but the job is not complete. Whenever one of these lines is present, never report the run as done: relay it and act on it. The lines are the signal, not the exit code.
What ships with it
31 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.
- agents/openai.yaml 224 B
- lib/api_adapter.mjs 19 KB runs code
- lib/billing.mjs 6.6 KB runs code
- lib/client_info.mjs 3.4 KB runs code
- lib/config.mjs 3.3 KB runs code
- lib/ffmpeg.mjs 12 KB runs code
- lib/gates.mjs 9.6 KB runs code
- lib/http_client.mjs 3.5 KB runs code
- lib/input.mjs 4.6 KB runs code
- lib/languages.mjs 4.7 KB runs code
- lib/mask.mjs 255 B runs code
- lib/merge.mjs 5.4 KB runs code
- lib/messages.mjs 5.1 KB runs code
- lib/scheduler.mjs 23 KB runs code
- lib/space.mjs 5.0 KB runs code
- lib/split.mjs 11 KB runs code
- lib/status.mjs 1.1 KB runs code
- lib/telemetry.mjs 16 KB runs code
- lib/tmp.mjs 741 B runs code
- lib/update_check.mjs 3.4 KB runs code
- lib/web_attribution.mjs 7.2 KB runs code
- scripts/billing.mjs 13 KB runs code
- scripts/check_deps.mjs 2.1 KB runs code
- scripts/connect.mjs 7.9 KB runs code
- scripts/dubbing.mjs 83 KB runs code
- scripts/languages.mjs 602 B runs code
- scripts/merge.mjs 396 B runs code
- scripts/prepare_input.mjs 385 B runs code
- scripts/probe_split.mjs 1022 B runs code
- scripts/resolve_key.mjs 12 KB runs code
- scripts/speaker.mjs 25 KB runs code
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.
- 9d ago First seen · 184 lines · 26 tokens per session scan A 4730589af0ce
dubbing is a skill published in the GitHub repository perso-ai/perso-dubbing-plugin (37 stars, last pushed 25d ago), licensed MIT. It adds 26 tokens to every session and 5,796 once invoked, about $0.0001 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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