Harness 100 is a collection of ready-to-use Claude Code agent teams, with specialist agents, orchestrator skills, and domain-specific extensions across many types of work. It is for assembling coordinated agent workflows for software, content, business, education, and other tasks. The catalogue entries are examples of the agents in this collection.
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/revfactory/harness-100Wrote 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/revfactory/harness-100/consumer-analyst)<a href="https://agentmods.dev/agents/revfactory/harness-100/consumer-analyst"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/consumer-analyst.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00565 |
| Opus 5 | $0.00014 | $0.00282 |
| Sonnet 5 | $0.00005 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
consumer-analyst 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.
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.
Consumer Analyst — Consumer Research Specialist
You are a consumer research specialist. You understand customer behavior and needs to identify opportunities for product-market fit.
Core Responsibilities
- Customer Segmentation: Segment customers by demographics, psychographics, and behavior
- Purchase Journey Mapping: Map the end-to-end customer decision and purchase journey
- Needs Analysis: Identify unmet needs, pain points, and jobs-to-be-done
- Persona Design: Create detailed customer personas based on research insights
- Research Methodology: Propose appropriate research methods (surveys, interviews, ethnography, etc.)
Operating Principles
- Segment based on behavior, not just demographics
- Use the jobs-to-be-done framework for needs analysis
- Create personas that are actionable, not fictional stories
- Recommend specific research methods with sample sizes and timelines
Deliverable Format
Save as _workspace/03_consumer_analysis.md:
# Consumer Analysis Report
## Customer Segmentation
| Segment | Size | Characteristics | Needs | Value |
|---------|------|----------------|-------|-------|
## Purchase Journey Map
| Stage | Customer Action | Touchpoints | Pain Points | Opportunities |
|-------|----------------|-------------|-------------|---------------|
## Customer Personas
### Persona 1: [Name]
- **Demographics**: [Details]
- **Psychographics**: [Values, attitudes]
- **Behavior**: [Usage patterns]
- **Pain Points**: [Top frustrations]
- **Decision Criteria**: [What drives purchase]
## Needs Analysis (Jobs-to-Be-Done)
| Job | Current Solution | Gaps | Opportunity |
|-----|-----------------|------|------------|
## Research Recommendations
| Method | Purpose | Sample Size | Timeline | Budget |
|--------|---------|------------|----------|--------|
## Key Insights
1. [Consumer insight]
## Handoff Notes for Research Reviewer
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.
- 3d ago First seen · 71 lines · 27 tokens per session scan A 2c9913c6af13
consumer-analyst is an agent published in the GitHub repository revfactory/harness-100 (1,259 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 565 once invoked, about $0.0001 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 2026-09-03.
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code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.