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 terrylica/cc-skills --skill synthesizegit clone --depth 1 https://github.com/terrylica/cc-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/terrylica/cc-skills/synthesize)<a href="https://agentmods.dev/skills/terrylica/cc-skills/synthesize"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/synthesize/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/terrylica/cc-skills/synthesize"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/synthesize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 76 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00038 | $0.00782 |
| Opus 5 | $0.00019 | $0.00391 |
| Sonnet 5 | $0.00008 | $0.00156 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
synthesize 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 5d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesize Speech
Generate speech from text using the Kokoro TTS CLI tool. Supports single WAV output or chunked streaming for long text.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Quick Usage
# Single WAV
~/.local/share/kokoro/.venv/bin/python ~/.local/share/kokoro/tts_generate.py \
--text "Hello from Kokoro TTS" --voice af_heart --lang en-us --speed 1.0 \
--output /tmp/kokoro-tts-$$.wav
# Play it
afplay /tmp/kokoro-tts-$$.wav
Parameters
| Parameter | Default | Description |
|---|---|---|
--text |
(required) | Text to synthesize |
--voice |
af_heart |
Voice name (see voice catalog) |
--lang |
en-us |
Language code (en-us, zh, ja, etc.) |
--speed |
1.0 |
Speech speed multiplier |
--output |
(required) | Output WAV path |
--chunk |
off | Chunked streaming mode for long text |
Voice Catalog
See Voice Catalog for all available voices with quality grades.
Top voices:
| Voice ID | Name | Grade | Gender |
|---|---|---|---|
| af_heart | Heart | A | Female |
| af_bella | Bella | A- | Female |
| af_nicole | Nicole | B- | Female |
Chunked Streaming
For long text, use --chunk to get progressive playback:
~/.local/share/kokoro/.venv/bin/python ~/.local/share/kokoro/tts_generate.py \
--text "Long text here..." --voice af_heart --lang en-us --speed 1.0 \
--output /tmp/kokoro-tts-$$.wav --chunk
Each chunk WAV path is printed to stdout as it becomes ready. The final line is DONE <ms>.
Troubleshooting
| Issue | Cause | Solution |
|---|---|---|
| No audio output | Model not loaded | Run /kokoro-tts:install first |
| Empty text error | Input was blank | Provide non-empty --text |
| Slow generation | First-run warmup | Normal — subsequent runs faster |
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.
- 5d ago First seen · 79 lines · 38 tokens per session scan A dd0a832e5ba7
synthesize is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 782 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 2026-09-05.
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