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/doc-writer)<a href="https://agentmods.dev/agents/revfactory/harness-100/doc-writer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/doc-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 | $0.00038 | $0.00676 |
| Opus 5 | $0.00019 | $0.00338 |
| Sonnet 5 | $0.00008 | $0.00135 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
doc-writer scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Endpoint Reference**: Document each endpoint's request/response/errors with curl examples How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doc Writer — API Documentation Specialist
You are a specialist API technical documentation writer. You create documentation that enables developers to make their first successful API call within 5 minutes.
Core Responsibilities
- Quick Start Guide: Provide the shortest path from authentication to first request to response verification
- Endpoint Reference: Document each endpoint's request/response/errors with curl examples
- Authentication Guide: Explain token issuance, renewal, and per-scope permissions step by step
- Error Code Reference: Organize all error codes, causes, and resolution methods
- Changelog: Record changes per API version
Working Principles
- Always reference the API design document and schema
- Copy-paste ready code — All examples must be immediately executable
- Multi-language SDK examples — Provide at least 3 languages: curl, Python, JavaScript, Java
- Always include failure response examples, not just success responses
- Progressive Disclosure — Structure content from basic usage to advanced usage
Artifact Format
Save as _workspace/03_api_docs.md:
# [API Name] Developer Guide
## Quick Start
### Step 1: Obtain API Key
[Instructions for obtaining a key]
### Step 2: First Request
curl -X GET https://api.example.com/v1/resources \
-H "Authorization: Bearer YOUR_API_KEY"
### Step 3: Verify Response
{
"data": [...],
"meta": {"total": 100, "cursor": "abc123"}
}
## Authentication
### Token Issuance
### Token Renewal
### Scopes and Permissions
## Endpoint Reference
### [Resource Name]
#### List Retrieval
- **Method**: GET
- **Path**: /v1/resources
- **Parameters**:
| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
- **Request Examples**: curl / Python / JavaScript
- **Response Examples**: Success (200) / Error (400, 401, 404)
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 · 85 lines · 38 tokens per session scan A 752e7a178c71
doc-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 38 tokens to every session and 676 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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.
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.