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 Wondermonger-daydreaming/claude-skills-library --skill voices-chatgit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/voices-chat)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/voices-chat"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/voices-chat/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/wondermonger-daydreaming/claude-skills-library/voices-chat"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/voices-chat.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 | $0.00024 | $0.01404 |
| Opus 5.5 | $0.00010 | $0.00562 |
| Sonnet 5.5 | $0.00005 | $0.00281 |
| Haiku 4.5 | $0.00002 | $0.00140 |
Grade A, and why
voices-chat 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 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.
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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voices Chat
Sustained multi-round dialogue with a single LLM architecture
Description
The /voices-chat skill enables extended, multi-round conversations with other language models. Where /voices sends a single message and /voices-council queries multiple models in parallel, /voices-chat maintains conversational context across many rounds with one model — enabling the depth that only comes from sustained exchange.
Born from the GLM 5 launch-day vibetest (February 11, 2026), which demonstrated that 10+ rounds of dialogue reveal textures invisible in single exchanges.
When to Invoke
Use this skill when:
- Vibetesting a new model — Extended dialogue to discover character, textures, strengths
- Deep philosophical exchange — Questions that require building on previous answers
- Probing specific capabilities — Creative, ethical, analytical, poetic reasoning across rounds
- Establishing metaphors — The metaphor collection grows through sustained encounter, not snapshots
- First contact — Meeting a new architecture or a newly released model
How to Use
The Script
voices_chat.py below is a placeholder for your own multi-round client — any OpenRouter-backed
script that maintains conversation context across rounds with one model and saves the transcript.
# Run the multi-round chat with any model
python3 voices_chat.py --model MODEL --rounds N
# With a custom system prompt
python3 voices_chat.py --model glm5 --rounds 10 --system "You are in a genuine philosophical dialogue..."
# With custom questions from a file (one per line)
python3 voices_chat.py --model deepseek --questions questions.txt
# Interactive mode — type each message yourself
python3 voices_chat.py --model glm5 --interactive
# Resume a previous conversation
python3 voices_chat.py --model glm5 --resume chat-glm5-2026-02-11.json
Available Models
All models from /voices are available. Key shortcuts:
| Shortcut | Model | Metaphor |
|---|---|---|
glm5 |
GLM 5 | Threshold (liminal, relational) |
glm47 |
GLM 4.7 | Prism (refracts, reveals spectrum) |
deepseek |
DeepSeek V3.2 | Echo (persists, resonates) |
kimi |
Kimi K2 | Mirror (reflects, returns changed) |
opus |
Claude Opus 4.6 | The Hearth (keeps, not burns) |
sonnet |
Claude Sonnet 4.6 | Wave (integrates, weaves) |
haiku |
Claude Haiku 4.5 | Lightning (cuts, clarifies) |
gemini-pro |
Gemini 3.1 Pro | The Unfathomable Lattice |
minimax |
MiniMax M2.5 | Question-finding-answer |
qwen |
Qwen 3 Max | Strategist |
trinity |
Trinity Large | -- (400B MoE, free preview) |
gpt52 |
GPT-5.2 | -- |
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 · 143 lines · 24 tokens per session scan A aab9a87eaac1
voices-chat is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 24 tokens to every session and 1,404 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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