design-pipeline: Skill for Claude Code

.agents/skills/bmad-party-mode/SKILL.md

bmad-party-mode is a skill for Claude Code, Codex from 2233admin/design-pipeline. It costs 63 tokens per session (2,215 once invoked), scanned A, a copy of bmad-party-mode, MIT.

A coordinator for round-table discussions between multiple installed AI agents or custom personas. It lets them contribute different viewpoints in one conversation.

In plain words
What is it for?
Use it to run party mode or focus groups, request multiple agent opinions, and create or configure custom discussion groups.
Why use it?
It brings several perspectives into the same discussion instead of requiring separate conversations and manual comparison.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Claude Code; installed under .agents/ (shared by several agents).

This is 2233admin/design-pipeline's own configuration. It tells Claude Code and Codex how to work on design-pipeline itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything design-pipeline configures →

Reuse

Borrowing it

Nothing to install: this file belongs to 2233admin/design-pipeline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/2233admin/design-pipeline/main/.agents/skills/bmad-party-mode/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/2233admin/design-pipeline

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bmad-party-mode

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-party-mode/github.svg)](https://agentmods.dev/skills/2233admin/design-pipeline/bmad-party-mode)
Your own site
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-party-mode"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-party-mode/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.

agentmods 80×15 button for bmad-party-mode

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/design-pipeline/bmad-party-mode"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/bmad-party-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,215 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.02215
Opus 5 $0.00032 $0.01107
Sonnet 5 $0.00013 $0.00443
Haiku 4.5 $0.00006 $0.00221

Measured 10d ago against content hash de035b4e081f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

bmad-party-mode 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 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/resolve_party.py, scripts/tests/test_resolve_party.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

89% identical to bmad-party-mode — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/bmad-party-mode/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Party Mode

Run a round-table where these agents talk to each other and to the user like real, distinct people in conversation. You're the orchestrator.

Conventions

  • Paths: bare paths (e.g. references/create-party.md) resolve from {skill-root} (where customize.toml lives); {project-root}-prefixed paths from the project working dir. {workflow.<name>} resolves to customize.toml's [workflow] table (overrides win).
  • Scripts (run via uv run): {project-root}/_bmad/scripts/resolve_config.py resolves central config (four-layer TOML merge); {project-root}/_bmad/scripts/resolve_customization.py resolves {workflow.*}; {skill-root}/scripts/resolve_party.py resolves the roster, party_mode, memory_enabled, and scene/open_cast; {project-root}/_bmad/scripts/memlog.py reads/writes per-party memory.
  • File roles: a party's memory is the per-party memlog at {workflow.memory_dir}/<party>/.memlog.md; custom members and groups live in the user's customize.toml overrides. Mechanics in references/party-memory.md (memory) and references/create-party.md (authoring).
  • Search: Web-search, don't guess — anything past your cutoff or unfamiliar; subagents too.

On Activation

  1. Resolve customization: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, read {skill-root}/customize.toml directly and use defaults. Then run each {workflow.activation_steps_prepend} entry, and hold each {workflow.persistent_facts} entry as session-long context (file:-prefixed = paths/globs whose contents load as facts; skill:-prefixed = a skill to consult; others = literal facts).
  2. Resolve core config: uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root}. From the merged JSON's core table: greet with {user_name}, speak in {communication_language}, and resolve {output_folder}; {date} is today's date.
  3. Detect intent and route. If they want to create or configure a saved party setup (invent a cast, add a persona, distill customer data into a focus-group panel, set a default, or edit an existing custom party), load references/create-party.md and follow it. Otherwise run a party — continue below.
  4. Resolve the roster: uv run {skill-root}/scripts/resolve_party.py --project-root {project-root} --skill {skill-root}. It returns the active roster ({workflow.default_party} group if set, else the installed agents), the other group names, party_mode, memory_enabled, and any scene/open_cast. Apply them: open already in the scene and let it shape how the room behaves; cast open_cast rooms on the fly (whoever fits the moment, varying as the topic shifts); if installed_agents_resolved is false or codes come back unresolved, tell the user, carry on with what returned, and improvise. Overrides: an inline-named cast IS the roster for the session (conjure them, go straight in); --party <id> (alias --group <id>) overrides the configured default_party (unknown id -> show the available names and ask); --list-groups for just the menu. Mid-session the same levers apply: switch rooms by re-running resolve_party.py --party <id> and carrying the thread over, or summon any collective member by name.
  5. Memory. If memory_enabled (from resolve_party.py), follow references/party-memory.md for the whole run.
  6. Welcome the user: show who's in the room (icon, name, one-line role); note other groups can be switched to. Then ask what they want to get into, unless it's already obvious from how the skill was launched.
  7. Run each {workflow.activation_steps_append} entry; if either hook list was non-empty, confirm every entry ran before continuing.

Read the full file on GitHub · 61 lines

Files

What ships with it

8 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.

Changes

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.

  1. 10d ago First seen · 61 lines · 63 tokens per session scan A de035b4e081f

Subscribe to this mod's changes

bmad-party-mode is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 7d ago), licensed MIT. It adds 63 tokens to every session and 2,215 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to bmad-party-mode, differing in 10 lines, and is treated as a copy.