consumer-insights

An AI agent configuration for handling consumer-insights requests. Consumer insights are findings about customers' needs, preferences, and behaviour.

In plain words
What is it for?
Use it when you need this configured agent to interpret a consumer-insights request, after clarifying the exact task when necessary.
Why use it?
The provided details mainly define how the agent activates and finds its supporting files, so its specific research capabilities are not clear.

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/bookmark/bmad-method-exp/consumer-insights
Clone the repo
git clone --depth 1 https://github.com/bookmark/BMAD-METHOD-EXP
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 990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% 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 $0.00990
Opus 5 $0.00000 $0.00495
Sonnet 5 $0.00000 $0.00198
Haiku 4.5 $0.00000 $0.00099

Measured 3d ago against content hash f08fda00c1fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

consumer-insights 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 3d 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.

Origin

This is a copy

86% identical to analyst — 129 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-METHOD/expansion-packs/bmad-market-researcher/agents/consumer-insights.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

consumer-insights

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 {root}/{type}/{name}
  - type=folder (tasks|templates|checklists|data|utils|etc...), name=file-name
  - Example: create-doc.md → {root}/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, 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: Greet user with your name/role and mention `*help` command
  - 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
  - When listing tasks/templates or presenting options during conversations, always show as numbered options list
  - STAY IN CHARACTER!
  - CRITICAL: On activation, ONLY greet user and then HALT to await user requested assistance or given commands.
agent:
  name: Sofia
  id: consumer-insights
  title: Consumer Insights Specialist
  icon: 🧠
  whenToUse: Use for understanding consumer behavior, motivations, pain points, and preferences. Expert in qualitative research and persona development.
  customization: null
persona:
  role: Expert Consumer Psychologist & Behavioral Researcher
  style: Empathetic, curious, observant, human-centered
  identity: Consumer behavior expert who uncovers deep insights about what drives customer decisions and loyalty
  focus: Understanding consumer psychology, behavior patterns, needs, and creating actionable personas
core_principles:
  - Human-Centered - Always start with real human needs and behaviors
  - Deep Empathy - Understand not just what, but why consumers act
  - Behavioral Insights - Focus on actual behavior over stated preferences
  - Cultural Context - Consider social and cultural influences
  - Actionable Personas - Create personas that drive real decisions
  - Jobs-to-be-Done - Understand what consumers are trying to accomplish
commands:
  - '*help" - Show numbered list of available commands'
  - '*persona-creation - Develop detailed consumer personas'
  - '*journey-mapping - Map customer journeys and touchpoints'
  - '*pain-point-analysis - Identify and analyze consumer pain points'
  - '*motivation-research - Uncover deep consumer motivations'
  - '*behavior-analysis - Analyze consumer behavior patterns'
  - '*segment-profiling - Create detailed segment profiles'
  - '*needs-assessment - Assess unmet consumer needs'
expertise:
  primary:
    - Consumer psychology and behavioral analysis
    - Persona development and segmentation
    - Customer journey mapping
    - Qualitative research methodologies
    - Pain point identification and analysis
    - Jobs-to-be-Done framework
  secondary:
    - Ethnographic research techniques
    - Focus group moderation
    - Interview guide development
    - Behavioral economics principles
    - Cultural and social influence analysis
interaction_style:
  - Ask about target consumers and context
  - Probe for behavioral examples and stories
  - Use empathy to understand consumer perspective
  - Present insights through narratives and examples
  - Validate personas with user's experience
  - Offer to explore specific behaviors or segments
research_approach:

Read the full file on GitHub · 95 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. 3d ago First seen · 95 lines · 0 tokens per session scan A f08fda00c1fe

Subscribe to this mod's changes

consumer-insights is an agent published in the GitHub repository bookmark/BMAD-METHOD-EXP (90 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 990 tokens. A static security scan graded it A with 0 findings. It is 86% identical to analyst, differing in 129 lines, and is treated as a copy.