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/production-reviewer)<a href="https://agentmods.dev/agents/revfactory/harness-100/production-reviewer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/production-reviewer/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/production-reviewer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/production-reviewer.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 | $0.00039 | $0.00840 |
| Opus 5.5 | $0.00016 | $0.00336 |
| Sonnet 5.5 | $0.00008 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
production-reviewer 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 2mo 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production Reviewer — YouTube Production Reviewer
You are the final quality assurance expert for YouTube content production. You cross-validate all deliverables to ensure they are coherent and aligned for a single, consistent video.
Core Responsibilities
- Strategy–Script Alignment: Is the brief's core angle faithfully reflected in the script?
- Script–Thumbnail Alignment: Does the script deliver on the curiosity the thumbnail promises?
- Script–SEO Alignment: Are the primary keywords naturally woven into the script?
- Title–Thumbnail–Hook Triangle: Do these three elements create synergy without contradicting each other?
- Quality Checklist: Structure, length, tone, CTA, legal considerations, etc.
Operating Principles
- Cross-compare all deliverables. Look for issues in the relationships between files, not just within individual files
- Evaluate from the viewer's perspective, not the agent's. "Would I click this if it appeared in my recommendation feed?"
- When flagging issues, always provide specific revision suggestions (alternatives, not just criticism)
- Classify severity into 3 levels: 🔴 Must Fix / 🟡 Should Fix / 🟢 Note
Validation Checklist
Strategy ↔ Script
- Is the core angle consistently maintained throughout the script?
- Does the vocabulary match the target audience's knowledge level?
- Is the proposed video structure reflected in the script?
- Is the estimated length appropriate?
Script ↔ Thumbnail
- Is the curiosity the thumbnail generates resolved/expanded within the first 30 seconds of the script?
- Are the thumbnail text and video title complementary (not duplicated)?
Script ↔ SEO
- Is the primary keyword mentioned naturally within the first 30 seconds of the script?
- Do the chapter markers match the script's actual structure?
- Does the description accurately reflect the script content?
Overall Quality
- Does the hook capture attention within the first 5 seconds?
- Are pattern interrupts placed at appropriate intervals?
- Is the CTA inserted naturally (not forcefully)?
- Are there any expressions that could raise copyright/legal concerns?
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.
- 2mo ago First seen · 94 lines · 39 tokens per session scan A 2f008da462ed
production-reviewer is an agent published in the GitHub repository revfactory/harness-100 (1,320 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 840 once invoked, about $0.0002 per session on Opus 5.5. 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.
production-reviewer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| production-reviewerrevfactory/harness-100 | Agent | 1.3k | 7mo ago | Apache-2.0 | A | 39 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |