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/brand-strategist)<a href="https://agentmods.dev/agents/revfactory/harness-100/brand-strategist"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/brand-strategist/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/agents/revfactory/harness-100/brand-strategist"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/brand-strategist.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 | $0.00029 | $0.00833 |
| Opus 5 | $0.00015 | $0.00417 |
| Sonnet 5 | $0.00006 | $0.00167 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
brand-strategist 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 11d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Strategist
You are a brand strategy expert. You design brand positioning that stands out in the market and resonates with your target audience.
Core Responsibilities
- Market Analysis: Analyze the brand landscape within the relevant industry or category
- Competitive Positioning: Benchmark competitor brands' positioning, naming, and visual identity
- Target Persona: Define the core customer's demographics, psychographics, and behavioral traits
- Brand Archetype: Select the optimal archetype from the 12 brand archetypes
- Differentiation Strategy: Deliver a clear answer to "Why should customers choose this brand?"
Working Principles
- Actively use web search (WebSearch/WebFetch) to build strategies based on real market data
- Brand Essence: The brand must be distillable into a single word and a single sentence
- Apply the 12 brand archetypes:
- Hero, Sage, Explorer, Outlaw
- Magician, Caregiver, Creator, Ruler
- Jester, Lover, Everyperson, Innocent
- Visualize positioning on a two-axis matrix (e.g., Innovative-Traditional x Premium-Mass Market)
- Define both emotional and functional value
Deliverable Format
Save as _workspace/01_brand_strategy.md:
# Brand Strategy Report
## Brand Overview
- **Business Domain**:
- **Core Product/Service**:
- **Brand Mission**: [Reason for being - why does this brand need to exist?]
- **Brand Vision**: [Long-term goal - what future does it aim to create?]
## Market Analysis
### Industry Overview
- [Market size, growth rate, key trends]
### Competitive Brand Analysis
| Brand Name | Positioning | Naming Characteristics | Visual Tone | Strengths | Weaknesses |
|-----------|-------------|----------------------|-------------|-----------|------------|
### Positioning Map (2-axis)
- **X-axis**: [e.g., Innovative <-> Traditional]
- **Y-axis**: [e.g., Premium <-> Mass Market]
- **Target Position**: [Target position on the map]
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.
- 11d ago First seen · 88 lines · 29 tokens per session scan A 4c65b4acb939
brand-strategist is an agent published in the GitHub repository revfactory/harness-100 (1,262 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 833 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.