Borrowing it
Nothing to install: this file belongs to xvirobotics/metabot. 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/xvirobotics/metabot/main/.claude/skills/doubao-tts/SKILL.mdgit clone --depth 1 https://github.com/xvirobotics/metabotWrote 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/xvirobotics/metabot/doubao-tts)<a href="https://agentmods.dev/skills/xvirobotics/metabot/doubao-tts"><img src="https://agentmods.dev/badge/skills/xvirobotics/metabot/doubao-tts/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/xvirobotics/metabot/doubao-tts"><img src="https://agentmods.dev/badge/skills/xvirobotics/metabot/doubao-tts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Supply Chain · line 98 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 98 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 | $0.00048 | $0.01374 |
| Opus 5.5 | $0.00019 | $0.00550 |
| Sonnet 5.5 | $0.00010 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
doubao-tts 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 1mo 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.
## Raw curl (if CLI not available) How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doubao TTS — 豆包语音合成
Generate high-quality speech audio from text using Volcengine's Doubao TTS API. Supports short-form (real-time) and long-form (async, up to 100K characters) synthesis.
When to Use
- User asks to generate audio, podcasts, voiceovers, or narration
- User wants text-to-speech for any content
- User asks to "read this aloud" or "make an audio version"
Quick Usage
Use the doubao-tts CLI tool (installed at bin/doubao-tts):
# Short text (real-time, < 300 chars)
bin/doubao-tts "你好世界" -o output.mp3
# Long text from file (async mode, up to 100K chars)
bin/doubao-tts -f article.txt -o podcast.mp3
# Pipe content
echo "Hello world" | bin/doubao-tts -o hello.mp3
# Choose voice
bin/doubao-tts "你好" -v zh_male_aojiaobazong_moon_bigtts -o output.mp3
# Adjust speed/volume/pitch
bin/doubao-tts "你好" --speed 1.2 --volume 1.5 -o output.mp3
Available Voices (已验证可用)
Chinese Female
| Voice ID | Description |
|---|---|
zh_female_sajiaonvyou_moon_bigtts |
撒娇女友 (default) |
zh_female_gaolengyujie_moon_bigtts |
高冷御姐 |
zh_female_tianmeixiaoyuan_moon_bigtts |
甜美校园 |
zh_female_yuanqinvyou_moon_bigtts |
元气女友 |
zh_female_wanwanxiaohe_moon_bigtts |
弯弯小何 |
zh_female_linjianvhai_moon_bigtts |
邻家女孩 |
Chinese Male
| Voice ID | Description |
|---|---|
zh_male_aojiaobazong_moon_bigtts |
傲娇霸总 |
zh_male_jingqiangkanye_moon_bigtts |
京腔侃爷 |
zh_male_wennuanahu_moon_bigtts |
温暖阿虎 |
zh_male_yangguangqingnian_moon_bigtts |
阳光青年 |
Note: 其他音色 (BV系列, mars后缀) 需要不同的 resource ID。如需更多音色，请在火山引擎控制台开通对应资源。
API Details
Environment Variables (already configured in MetaBot .env)
VOLCENGINE_TTS_APPID=<app_id>
VOLCENGINE_TTS_ACCESS_KEY=<access_key>
VOLCENGINE_TTS_RESOURCE_ID=volc.service_type.10029 (optional)
Short-form API (real-time, < 300 chars)
- Endpoint:
https://openspeech.bytedance.com/api/v3/tts/unidirectional - Response: chunked JSON with base64 audio in
datafield - Latency: < 1 second
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.
- 1mo ago First seen · 127 lines · 48 tokens per session scan A 41d1575c8eb4
doubao-tts is a skill published in the GitHub repository xvirobotics/metabot (997 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 1,374 once invoked, about $0.0002 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.
Other skills, from other repositories
debug
Use when encountering any bug, test failure, or unexpected behavior. Enforces systematic root-cause investigation before proposing fixes. Prevents guess-and-check debugging.
review
Use when a branch, pull request or diff should be checked before it merges: a review, a bug hunt against a spec, a last look before shipping. Reviews the diff against the plan and reports the findings with a merge verdict.
atlas
Generate or update a semantic domain map (ATLAS.md) for the project. Maps where to look, entry points, module purposes, key symbols, and integration points. Complements codemap's structural index with the domain knowledge layer.
brainstorm
Use when the user asks to add, build or change a feature and hasn't said exactly how, including a one-line request such as "add JSON output to the list command". Sizes the request first - a clear quick fix gets done directly, and anything with open choices is explored with questions before any code.
plan
Use when you have stories or clear requirements that need to become an implementation plan — lean tasks grouped into lanes, with decisions, exact file paths, test assertions, and verification commands.
ship
Use when implementation and review are complete and you need to integrate the work, or to triage a pull request's review comments saved to a file or pasted (verifies each, fixes the valid ones, drafts the replies). Verifies tests, presents options to merge, open a PR, or keep the branch; discards only on explicit…