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 bsahane/memory-mcp-server --skill bmad-party-modegit clone --depth 1 https://github.com/bsahane/memory-mcp-serverWrote 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/bsahane/memory-mcp-server/bmad-party-mode)<a href="https://agentmods.dev/skills/bsahane/memory-mcp-server/bmad-party-mode"><img src="https://agentmods.dev/badge/skills/bsahane/memory-mcp-server/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.
<a href="https://agentmods.dev/skills/bsahane/memory-mcp-server/bmad-party-mode"><img src="https://agentmods.dev/badge/skills/bsahane/memory-mcp-server/bmad-party-mode.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 | $0.00063 | $0.02215 |
| Opus 5 | $0.00032 | $0.01107 |
| Sonnet 5 | $0.00013 | $0.00443 |
| Haiku 4.5 | $0.00006 | $0.00221 |
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 8d 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.
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.
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}(wherecustomize.tomllives);{project-root}-prefixed paths from the project working dir.{workflow.<name>}resolves tocustomize.toml's[workflow]table (overrides win). - Scripts (run via
uv run):{project-root}/_bmad/scripts/resolve_config.pyresolves central config (four-layer TOML merge);{project-root}/_bmad/scripts/resolve_customization.pyresolves{workflow.*};{skill-root}/scripts/resolve_party.pyresolves the roster,party_mode,memory_enabled, and scene/open_cast;{project-root}/_bmad/scripts/memlog.pyreads/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'scustomize.tomloverrides. Mechanics inreferences/party-memory.md(memory) andreferences/create-party.md(authoring). - Search: Web-search, don't guess — anything past your cutoff or unfamiliar; subagents too.
On Activation
- Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. On failure, read{skill-root}/customize.tomldirectly 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). - Resolve core config:
uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root}. From the merged JSON'scoretable: greet with{user_name}, speak in{communication_language}, and resolve{output_folder};{date}is today's date. - 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.mdand follow it. Otherwise run a party — continue below. - 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:openalready in the scene and let it shape how the room behaves; castopen_castrooms on the fly (whoever fits the moment, varying as the topic shifts); ifinstalled_agents_resolvedis false or codes come backunresolved, 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 configureddefault_party(unknown id -> show the available names and ask);--list-groupsfor just the menu. Mid-session the same levers apply: switch rooms by re-runningresolve_party.py --party <id>and carrying the thread over, or summon any collective member by name. - Memory. If
memory_enabled(fromresolve_party.py), followreferences/party-memory.mdfor the whole run. - 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.
- Run each
{workflow.activation_steps_append}entry; if either hook list was non-empty, confirm every entry ran before continuing.
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.
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.
- 8d ago First seen · 61 lines · 63 tokens per session scan A de035b4e081f
bmad-party-mode is a skill published in the GitHub repository bsahane/memory-mcp-server (0 stars, last pushed 17d ago), licensed Apache-2.0. 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.
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