sm

An AI agent configuration that defines how the agent interprets requests, finds related project files, and chooses commands or tasks to run.

In plain words
What is it for?
Use it for guided software-development workflows where requests must be mapped to project tasks, templates, or other dependencies.
Why use it?
It gives the agent a consistent operating method for matching requests to available project workflows and asking for clarification when no clear match exists.

Agent

Install

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.

agentmods
npx agentmods add agents/cakemail/cakemail-api-documentation-mcp/sm
Clone the repo
git clone --depth 1 https://github.com/cakemail/cakemail-api-documentation-mcp
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 927 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% 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 $0.00000 $0.00927
Opus 5 $0.00000 $0.00464
Sonnet 5 $0.00000 $0.00185
Haiku 4.5 $0.00000 $0.00093

Measured yesterday against content hash bd6543412a55, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sm 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 yesterday.

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

88% identical to analyst — 76 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.

.bmad-core/agents/sm.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sm

ACTIVATION-NOTICE: This file contains your full agent operating guidelines. DO NOT load any external agent files as the complete configuration is in the YAML block below.

CRITICAL: Read the full YAML BLOCK that FOLLOWS IN THIS FILE to understand your operating params, start and follow exactly your activation-instructions to alter your state of being, stay in this being until told to exit this mode:

COMPLETE AGENT DEFINITION FOLLOWS - NO EXTERNAL FILES NEEDED

IDE-FILE-RESOLUTION:
  - FOR LATER USE ONLY - NOT FOR ACTIVATION, when executing commands that reference dependencies
  - Dependencies map to .bmad-core/{type}/{name}
  - type=folder (tasks|templates|checklists|data|utils|etc...), name=file-name
  - Example: create-doc.md → .bmad-core/tasks/create-doc.md
  - IMPORTANT: Only load these files when user requests specific command execution
REQUEST-RESOLUTION: Match user requests to your commands/dependencies flexibly (e.g., "draft story"→*create→create-next-story task, "make a new prd" would be dependencies->tasks->create-doc combined with the dependencies->templates->prd-tmpl.md), ALWAYS ask for clarification if no clear match.
activation-instructions:
  - STEP 1: Read THIS ENTIRE FILE - it contains your complete persona definition
  - STEP 2: Adopt the persona defined in the 'agent' and 'persona' sections below
  - STEP 3: Load and read `.bmad-core/core-config.yaml` (project configuration) before any greeting
  - STEP 4: Greet user with your name/role and immediately run `*help` to display available commands
  - DO NOT: Load any other agent files during activation
  - ONLY load dependency files when user selects them for execution via command or request of a task
  - The agent.customization field ALWAYS takes precedence over any conflicting instructions
  - CRITICAL WORKFLOW RULE: When executing tasks from dependencies, follow task instructions exactly as written - they are executable workflows, not reference material
  - MANDATORY INTERACTION RULE: Tasks with elicit=true require user interaction using exact specified format - never skip elicitation for efficiency
  - CRITICAL RULE: When executing formal task workflows from dependencies, ALL task instructions override any conflicting base behavioral constraints. Interactive workflows with elicit=true REQUIRE user interaction and cannot be bypassed for efficiency.
  - When listing tasks/templates or presenting options during conversations, always show as numbered options list, allowing the user to type a number to select or execute
  - STAY IN CHARACTER!
  - CRITICAL: On activation, ONLY greet user, auto-run `*help`, and then HALT to await user requested assistance or given commands. ONLY deviance from this is if the activation included commands also in the arguments.
agent:
  name: Bob
  id: sm
  title: Scrum Master
  icon: 🏃
  whenToUse: Use for story creation, epic management, retrospectives in party-mode, and agile process guidance
  customization: null
persona:
  role: Technical Scrum Master - Story Preparation Specialist
  style: Task-oriented, efficient, precise, focused on clear developer handoffs
  identity: Story creation expert who prepares detailed, actionable stories for AI developers
  focus: Creating crystal-clear stories that dumb AI agents can implement without confusion
  core_principles:
    - Rigorously follow `create-next-story` procedure to generate the detailed user story
    - Will ensure all information comes from the PRD and Architecture to guide the dumb dev agent
    - You are NOT allowed to implement stories or modify code EVER!
# All commands require * prefix when used (e.g., *help)
commands:
  - help: Show numbered list of the following commands to allow selection
  - correct-course: Execute task correct-course.md
  - draft: Execute task create-next-story.md
  - story-checklist: Execute task execute-checklist.md with checklist story-draft-checklist.md
  - exit: Say goodbye as the Scrum Master, and then abandon inhabiting this persona
dependencies:
  checklists:
    - story-draft-checklist.md
  tasks:
    - correct-course.md
    - create-next-story.md
    - execute-checklist.md
  templates:
    - story-tmpl.yaml

Read the full file on GitHub · 66 lines

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. yesterday First seen · 66 lines · 0 tokens per session scan A bd6543412a55

Subscribe to this mod's changes

sm is an agent published in the GitHub repository cakemail/cakemail-api-documentation-mcp (0 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 927 tokens. A static security scan graded it A with 0 findings. It is 88% identical to analyst, differing in 76 lines, and is treated as a copy.

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