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 marswaveai/skills --skill listenhub-voicegit clone --depth 1 https://github.com/marswaveai/skillsWrote 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/marswaveai/skills/listenhub-voice)<a href="https://agentmods.dev/skills/marswaveai/skills/listenhub-voice"><img src="https://agentmods.dev/badge/skills/marswaveai/skills/listenhub-voice/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/marswaveai/skills/listenhub-voice"><img src="https://agentmods.dev/badge/skills/marswaveai/skills/listenhub-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Data Exfiltration · line 102 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 282 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 463 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00108 | $0.06173 |
| Opus 5 | $0.00054 | $0.03086 |
| Sonnet 5 | $0.00022 | $0.01235 |
| Haiku 4.5 | $0.00011 | $0.00617 |
Grade A, and why
listenhub-voice 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 11d 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.
> All examples below therefore call the OpenAPI HTTP contract directly with `curl` and a How it starts
The opening of the file, as written. The whole thing — 539 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- User wants end-to-end audio from text (with sound effects baked in by the model)
- User wants a multi-voice dialogue where each line is assigned to a different voice
- User wants to clone a voice from a reference audio clip
- User wants to turn a reference image into audio (image → audio)
- User wants pure sound-effect generation from a text description
- User says "生成音频", "端到端音频", "图片转音频", "多音色对白", "参考音频克隆", "音效"
When NOT to Use
- User just wants a single registered ListenHub voice to read text aloud (use
/tts) —/ttsis lower-latency for plain narration with already-registered ListenHub speakers - User wants a podcast-style discussion with topic exploration (use
/podcast) - User wants music or a cover song (use
/music) - User wants a video (use
/video-gen) - User wants to transcribe audio/video to text (use
/asr)
/tts vs /listenhub-voice: /listenhub-voice is the ListenHub-Voice-1.0 end-to-end model —
text or image into a finished audio track that can include sound effects, multi-voice
dialogue, and reference-audio voice cloning, with an optional durationHint to target
an approximate length. Plain single-voice narration with an already-registered ListenHub
voice can still go through /tts.
Purpose
Generate end-to-end audio with the ListenHub-Voice-1.0 model. One async task takes a text script (and optionally voices, a reference image, audio params, and a duration hint) and returns a finished audio file. Modes:
- Plain text / sound effects — no
voices, noimage. The model synthesizes the text and any sound effects described in it. - Single voice —
voiceswith 1 item, either a registered ListenHub speaker / Officialvoice_type(type: speaker) or a reference-audio clone (type: reference). - Multi-voice dialogue —
voiceswith 2–3 items; the script assigns each line with@音频1/@音频2prefixes invoicesarray order. Every item in a multi-voice request must be reference-audio-capable (officialvoice_typeis single-voice only). - Reference-audio cloning —
voicesitem oftype: referencepointing at a public audio URL to clone that voice. - Image → audio — an
image(url or data). Mutually exclusive withvoices.
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.
- 11d ago First seen · 539 lines · 108 tokens per session scan A ebaf86006797
listenhub-voice is a skill published in the GitHub repository marswaveai/skills (78 stars, last pushed 17d ago), licensed MIT. It adds 108 tokens to every session and 6,173 once invoked, about $0.0005 per session on Opus 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.
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