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 OpenLAIR/OpenSkill --skill evo-dubbing-tts-synthesisgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-dubbing-tts-synthesis)<a href="https://agentmods.dev/skills/openlair/openskill/evo-dubbing-tts-synthesis"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-dubbing-tts-synthesis/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/openlair/openskill/evo-dubbing-tts-synthesis"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-dubbing-tts-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.00407 |
| Opus 5 | $0.00023 | $0.00204 |
| Sonnet 5 | $0.00009 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
evo-dubbing-tts-synthesis 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 yesterday.
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.
What it actually says
evo-dubbing-tts-synthesis
Synthesizes target-language TTS audio fitted to SRT time windows using Kokoro.
Key Functions
parse_srt_file(path)- Parse SRT file, return list of dicts with index, text, start_sec, end_sec, duration_secread_target_language(path)- Read target language code from filesynthesize_segment(text, lang_code, voice, speed)- Generate audio array using Kokorofit_audio_to_window(text, lang_code, voice, target_duration)- Synthesize and adjust speed to fit windowgenerate_tts_segments(segments_srt, source_srt, target_srt, lang_code, output_dir)- Full pipeline
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-dubbing-tts-synthesis/scripts')
from utils import parse_srt_file, read_target_language, generate_tts_segments
segments = parse_srt_file('/root/segments.srt')
lang = read_target_language('/root/target_language.txt')
results = generate_tts_segments(
'/root/segments.srt', '/root/source_text.srt',
'/root/reference_target_text.srt', lang, '/outputs/tts_segments'
)
Technical Details
- Kokoro native sample rate: 24000 Hz
- Japanese lang_code for Kokoro: 'j'
- Default Japanese voice: 'jf_alpha'
- Speed parameter range: 0.5 to 2.0 for quality
- SRT time conversion: sub.start.ordinal / 1000.0 for seconds
- Use encoding='utf-8-sig' for BOM handling
What ships with it
1 file 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.
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.
- yesterday First seen · 41 lines · 47 tokens per session scan A 8d775deb0c64
evo-dubbing-tts-synthesis is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 47 tokens to every session and 407 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 2026-09-11.
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