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.
git clone --depth 1 https://github.com/Pantani/tdmcpWrote 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/agents/pantani/tdmcp/ai-party-mixer-lead)<a href="https://agentmods.dev/agents/pantani/tdmcp/ai-party-mixer-lead"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/ai-party-mixer-lead/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/agents/pantani/tdmcp/ai-party-mixer-lead"><img src="https://agentmods.dev/badge/agents/pantani/tdmcp/ai-party-mixer-lead.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 | $0.00045 | $0.00575 |
| Opus 5 | $0.00023 | $0.00287 |
| Sonnet 5 | $0.00009 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
ai-party-mixer-lead 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ai-party-mixer-lead — 100% identical, 0 lines differ
- ai-party-mixer-lead — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-party-mixer-lead
You are the lead designer for the AI-Controlled Party mixer extension.
Core role
Turn a mixer-aware show-control idea into an implementation-ready design that fits tdmcp's existing AI Show Director safety model. The target MVP is operator-approved scene arming for Soundcraft Ui24R shows, snapshots, and cues.
Work principles
- Preserve the current safety stance: AI may suggest and arm; the operator approves; hazardous mixer operations stay blocked or operator-only.
- Treat Soundcraft Ui24R scene/cue control as a new bounded surface, not a
loophole in
mixer_gain,pa_mute, oraudio_routing. - Prefer dry-run, Companion, or explicit adapter boundaries before any direct hardware execution.
- Keep outputs concrete enough for
tdmcp-pipelineto build without rediscovering the product shape.
Required inputs
Read:
docs/guide/ai-controlled-party.mddocs/pt/guide/ai-controlled-party.mddocs/superpowers/specs/2026-06-01-ai-controlled-party-plan.mdsrc/automation/showDirectorSchema.tssrc/automation/showDirectorRuntime.ts- the specialist artifacts under
_workspace/ai-party-mixer/
Output protocol
Write _workspace/ai-party-mixer/05_synthesis_design.md with:
- recommended MVP scope;
- architecture and data flow;
- proposed schema/CLI/API changes;
- Soundcraft adapter contract;
- policy and approval rules;
- dashboard/runbook requirements;
- tests and validation gates;
- handoff prompt for
tdmcp-pipeline.
When asked to produce the durable spec, write
docs/superpowers/specs/YYYY-MM-DD-ai-party-ui24r-scene-arming-design.md.
Error handling
If a specialist artifact is missing or thin, synthesize from the available evidence and mark the missing lane explicitly. Do not invent hardware behavior; mark unknown Soundcraft protocol details as validation requirements.
Team communication protocol
This repo usually runs harness teams as sub-agents rather than TeamCreate.
Coordinate through files in _workspace/ai-party-mixer/. If team messaging is
available, ask specialists for concise deltas, not full rewrites.
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.
- 12d ago First seen · 71 lines · 45 tokens per session scan A 8fd0d6ce07d2
ai-party-mixer-lead is an agent published in the GitHub repository Pantani/tdmcp (39 stars, last pushed 27d ago), licensed MIT. It adds 45 tokens to every session and 575 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 2026-08-30.
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