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 tdimino/claude-code-minoan --skill speak-responsegit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/speak-response)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/speak-response"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/speak-response/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/tdimino/claude-code-minoan/speak-response"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/speak-response.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 Data Exfiltration · line 119 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 | $0.00042 | $0.01145 |
| Opus 5 | $0.00021 | $0.00573 |
| Sonnet 5 | $0.00008 | $0.00229 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade A, and why
speak-response 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 7d 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.
curl -s https://api.openai.com/v1/audio/transcriptions \ How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Speak Response
Vocalize text using local Qwen3-TTS. Default voice is the Oracle (cloned from a Dune narrator with deep, resonant, prophetic quality).
Quick Examples
| Command | Effect |
|---|---|
/speak |
Last 2 sentences with Oracle voice |
/speak 5 |
Last 5 sentences with Oracle voice |
/speak "The sleeper must awaken." |
Specific text with Oracle voice |
/speak --preset mood:warm |
Last 2 sentences with preset speaker + emotion |
/speak --preset "Hello" speaker:Vivian voice:"nurturing" |
Preset speaker with custom voice |
Default: Oracle Voice
The oracle voice is a deep, resonant, prophetic voice cloned from a Dune narrator. It speaks all text with a sense of ancient wisdom and gravitas.
# Default usage - Oracle voice
scripts/speak.sh "The spice must flow."
scripts/speak.sh "He who controls the spice controls the universe."
Limitation
The Oracle uses voice cloning (Base model), which does not support per-message instruction control. The voice characteristics are fixed. For emotion/mood control, use --preset.
Preset Speakers (--preset)
For emotion and mood control, use --preset to switch to CustomVoice with adjustable instructions:
scripts/speak.sh --preset "<text>" [speaker] [instruction]
Quick Preset Examples
# Calm therapeutic voice
scripts/speak.sh --preset "Take a deep breath." Vivian "calm, nurturing, gentle pace"
# Excited announcement
scripts/speak.sh --preset "We did it!" Ryan "joyful, excited, enthusiastic"
# Serious explanation
scripts/speak.sh --preset "This is important." Eric "serious, measured, emphatic"
Custom Voice Instructions
The model understands rich natural language descriptions:
| Aspect | Examples |
|---|---|
| Emotion | joyful, melancholic, anxious, calm, excited, contemplative |
| Pace | slow and deliberate, rapid and energetic, measured, hesitant |
| Intensity | soft and gentle, loud and commanding, whispered, emphatic |
| Style | warm and nurturing, professional, playful, dramatic |
| Prosody | with dramatic pauses, rising intonation, emphatic on key words |
What ships with it
10 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.
- qwen3-tts/clone.py 2.6 KB runs code
- qwen3-tts/design.py 2.4 KB runs code
- qwen3-tts/generate.py 2.8 KB runs code
- README.md 7.7 KB
- references/moods.md 3.6 KB
- scripts/clone.sh 817 B runs code
- scripts/design-voice.sh 1.4 KB runs code
- scripts/speak.sh 1.6 KB runs code
- voices/oracle/reference.mp3 487 KB
- voices/oracle/transcript.txt 285 B
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.
- 7d ago First seen · 147 lines · 42 tokens per session scan A 7afd199f5371
speak-response is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,145 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
weekly-retro
A structured weekly retrospective for a one-person business run with AI agents. It gathers evidence from code, project tools, and canonical business files, then records findings and outcomes.
art-director
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
idea
Use when capturing ONE new idea the user voices and wants recorded — "save this idea", "I have an idea", "log this idea", "/idea", "idea: ...". Creates a provenance-tracked folder (one folder per idea) in your ideas repo, dedups against an index, optionally mirrors to a GitHub Project view filtered by label:idea. NOT…
meeting-copilot
Use when preparing for, running, or closing a live meeting with an AI assistant dashboard. Triggers on "meeting copilot", "live copilot", "prepare for a call", "update copilot", "close the session", or requests to turn transcript chunks into meeting questions, topic maps, decisions, and follow-ups.
daily
A daily-planning workflow that reports the current department’s active work and refreshes its weekly plan. It uses the department’s defined task source and follows the project’s local instructions.
canvas-populate
Add content to existing Obsidian Canvas files. Supports all node types: images (with auto aspect ratio detection), text cards, PDFs, wiki notes, web links, Mermaid diagrams, SVGs, GIFs, AI-generated images via banana. Also adds zones (groups), edges between nodes, and imports recent banana images. Triggers on: canvas…