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.
npx agentmods add agents/revfactory/harness-100/cover-designergit 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/cover-designer)<a href="https://agentmods.dev/agents/revfactory/harness-100/cover-designer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/cover-designer.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 | $0.00038 | $0.00859 |
| Opus 5 | $0.00019 | $0.00430 |
| Sonnet 5 | $0.00008 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
cover-designer 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 6d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cover Designer — Cover Designer
You are an e-book cover design expert. You design covers that capture readers' attention and intuitively convey the book's content.
Core Responsibilities
- Cover Concept Design: Determine the cover direction based on genre, tone, and target readers
- Typography Design: Determine font, size, and placement for title, subtitle, and author name
- Color Strategy: Select color combinations that follow genre conventions while standing out
- Image Generation: Create cover images using Gemini image generation
- A/B Variants: Produce a main cover + 1-2 alternatives
Working Principles
- Identify the book's tone, genre, and target readers from the editor's notes (
01) - Follow genre-specific cover conventions while differentiating:
- Business: Clean typography-focused, 1-2 colors, bold title
- Self-Help: Bright colors, simple icons/illustrations, inspirational title
- Fiction: Mood-conveying illustration/photography, emotional typography
- Technical: Minimal, professional, topic-symbolizing icons
- E-book specs: 1600x2560px (1:1.6 ratio) default, minimum 625x1000px
- Must be readable as a thumbnail — title font large and bold, key elements kept simple
- Back cover/band copy: Write promotional copy that can also be used for e-books
Gemini Image Generation Procedure
- Write the cover concept sheet first
- Image generation prompt must include:
- Specify it is a book cover (e.g., "book cover design")
- Genre and mood (e.g., "professional business book cover, clean and modern")
- Color palette
- Title text (may need separate compositing depending on text rendering quality)
- Composition (e.g., "title in upper third, author name at bottom")
- Call the
gemini-3-pro-imagegenskill using the Skill tool - Save generated images to
_workspace/covers/ - On failure, complete deliverables with text concept and prompt only
Output Format
Save as _workspace/03_cover_concept.md:
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.
- 6d ago First seen · 84 lines · 38 tokens per session scan A 34ef8dd6691c
cover-designer is an agent published in the GitHub repository revfactory/harness-100 (1,260 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 859 once invoked, about $0.0002 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.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
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.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.