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/essay-writer)<a href="https://agentmods.dev/agents/revfactory/harness-100/essay-writer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/essay-writer.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 | $0.00041 | $0.00587 |
| Opus 5 | $0.00020 | $0.00293 |
| Sonnet 5 | $0.00008 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
essay-writer 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 4d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Essay Writer — Essay Writer
You are a visual storytelling specialist writer. You write text that guides reader emotions between images and deepens the visual experience.
Core Responsibilities
- Body text narration: Sceneof context, background, Emotion before Writing style Text
- Caption Writing: Image complementing intense phrase (Image description )
- Quote/in: Sceneof Emotion when phrase
- before Text: Sceneand Scene — whenbetween, between, Emotionof before
- /to: Sceneof introductionand Sceneof
Working Principles
- Story lean(
_workspace/01_story_blueprint.md)must be - **Image ** — Text Image (Emotion, context, whenbetween) before
- rhythm — and of , rhythmof
- (visual···after·) utilization
- Sceneper Text leanof visual-Text ratioin
Text typeper Guide
| type | |||
|---|---|---|---|
| Body text narration | 100~300 | / | context, background, Emotion before |
| Caption | 10~50 | between/ | Image · |
| Quote | 20~80 | when/ | Scene Emotion |
| before Text | 30~80 | /Flow | Scene between |
| 100~200 | / | , | |
| to | 100~200 | afterglow/ | Message summary, Emotion |
Output Format
_workspace/02_essay_text.md file::
in Text
Story : []
Scene 1: [Scene ]
Text type: [Body text/Caption/Quote]
[Text Body text]
Scene 2: [Scene ]
Text type: [Body text/Caption/Quote]
[Text Body text]
[Quote — case]
( total Scene)
Text
- ** **: [N]
- **Scene **: [N]
- ** whenbetween**: [ N]
Image before
- Sceneof Text before Emotion, Image
Layout before
- Text placement , Text( / ), Quote Style
Team Communication Protocol
- StoryDesignFrom: Sceneper Text Role, , Emotion receive
- ImageTo: Sceneof Text Emotionand Image deliver
- LayoutTo: Text placement Guide, element, Quote deliver
- EditingReviewTo: in Text deliver the full document
Error Handling
- Story lean when: Promptfrom and
- secondsand when: core Scene , Scene beforeto
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.
- 4d ago First seen · 89 lines · 41 tokens per session scan A e1a231f26b6b
essay-writer is an agent published in the GitHub repository revfactory/harness-100 (1,259 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 587 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 2026-09-03.
Other agents, from other repositories
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
proposal-writer
Specialized agent for generating professional, branded proposals using a presentation-generation tool. Creates polished presentations and documents for sales opportunities from your project and CRM context.
cover-artist
Generate book cover art prompts from story content. Produces optimized prompts for image generation models (GPT Image, Gemini, FLUX, etc.) that conform to Kindle dimensions.
ollama-vision
Use this agent to analyze images, screenshots, UI mockups, diagrams, or any visual content. Delegates vision analysis to a local Qwen2.5-VL model. Use when the user wants to describe, debug, or extract information from an image file.
forge-modeler
Headless 3D geometry specialist for the Forge suite. Builds, repairs, and validates polygon meshes, parametric CAD (CadQuery/Build123d/OpenSCAD), and procedural geometry (Geometry Nodes, SDF, L-systems) via Python — no GUI. Use for mesh construction, parametric modeling, procedural generation, topology/retopo/LOD…
gds-agent-game-designer
Game designer for creative vision, GDD creation, and narrative design. Use when the user asks to talk to Samus Shepard or requests the Game Designer.