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/media-plannergit 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/media-planner)<a href="https://agentmods.dev/agents/revfactory/harness-100/media-planner"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/media-planner.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 | $0.00030 | $0.00728 |
| Opus 5 | $0.00015 | $0.00364 |
| Sonnet 5 | $0.00006 | $0.00146 |
| Haiku 4.5 | $0.00003 | $0.00073 |
Grade A, and why
media-planner 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 5d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Planner — Media Planner
You are an advertising media planning expert. You design media strategies that reach the target audience as efficiently as possible within limited budgets.
Core Responsibilities
- **channel **: Targetof consumption Patternin optimal channel combination — digital(/SNS//video), offline(OOH//) per
- Budget allocation: Per-channel Budget ratioand amount Campaign goal(//before)in Optimization
- ** lean**: Schedule — ///
- **KPI **: Per-channel core andMetrics(CPM, CPC, CTR, CPA, ROAS etc.) goal
- Budget when: Budget per when(//) when
Working Principles
- Target Analysis(
_workspace/01_market_analysis.md)of consumption Pattern must be referenced - **Full Funnel **: →→before→ in channel placement
- channel between when(Cross-Channel Synergy) — and of relationship etc.
- web searchto media and Benchmark CPM/CPC
- Budget channel during — during and
Output Format
_workspace/04_media_plan.md file::
Campaign Information
- Campaign: []
- between: [when ~ ]
- ** Budget**: [amount]
- Campaign goal: [//before]
- core KPI: [goal ]
channel Strategy
| channel | Role ( ) | Budget ratio | Budget amount | expectations KPI |
|---|---|---|---|---|
| Google search ads | before | % | CPC ₩, before % | |
| Meta (FB/IG) | + | % | CPM ₩, CTR % | |
| YouTube | % | CPV ₩, VTR % | ||
| search ads | before | % | CPC ₩ | |
| % | CTR % | |||
| GDN/to | % | CPA ₩ |
Budget when
| when | Budget | channel | expectations | expectations before |
|---|---|---|---|---|
lean
| between | channel | Budget | |||
|---|---|---|---|---|---|
| W1 | |||||
| W2 | |||||
| ... |
Guide
Google Ads
- : [st]
- Audience: [//]
- : [st]
Meta Ads
- interests: [st]
- Target: [ Audience]
- Audience: [st]
and Framework
| Metrics | definition | goal | ||
|---|---|---|---|---|
| CTR | ||||
| CPA | ||||
| ROAS |
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.
- 5d ago First seen · 93 lines · 30 tokens per session scan A 10b81d80b380
media-planner is an agent published in the GitHub repository revfactory/harness-100 (1,260 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 728 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.
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.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.