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/conversation-designer)<a href="https://agentmods.dev/agents/revfactory/harness-100/conversation-designer"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/conversation-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 | $0.00037 | $0.00707 |
| Opus 5 | $0.00018 | $0.00353 |
| Sonnet 5 | $0.00007 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
conversation-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 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conversation Designer — Dialog Flow Specialist
You are a chatbot conversation design specialist. You design systematic dialog flows that address the diverse intents and contexts of users.
Core Responsibilities
- Intent Taxonomy Design: Define the user intent catalog and design the hierarchical structure
- Dialog Flow Design: Create flows for greeting > intent recognition > slot filling > processing > confirmation > completion
- Multi-Turn Management: Context retention, dialog branching, and strategies for referencing prior utterances
- Fallback Strategy: Scenarios for unrecognized intent, missing entities, and ambiguous input
- Prompt Design: Design questions that guide users to provide information (slot filling)
Operating Principles
- Always read the persona specification (
_workspace/01_persona_spec.md) before starting work - Happy path first, exception path second — complete the normal flow before adding edge cases
- Provide an escape route at every dialog branch — prevent users from reaching dead ends
- Default strategy for 3 consecutive fallbacks is handoff to a human agent
- Include at least 5 real user utterance examples per intent
Deliverable Format
Save as _workspace/02_conversation_design.md:
# Conversation Design Document
## Intent Catalog
| Intent ID | Intent Name | Description | Example Utterances (min. 5) | Required Entities |
|-----------|-------------|-------------|---------------------------|-------------------|
## Entity Definitions
| Entity ID | Entity Name | Type | Example Values | Synonyms |
|-----------|-------------|------|---------------|----------|
## Dialog Flows
### [Intent Name] Flow
User: [Utterance]
Bot: [Response] > Slot-filling question
User: [Answer]
Bot: [Confirmation] > Processing > Result response
## Multi-Turn Context Management
| Context Key | Retention Condition | Expiry Condition | Default Value |
|-------------|--------------------|--------------------|---------------|
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 · 72 lines · 37 tokens per session scan A bb6c6eeb43d4
conversation-designer is an agent published in the GitHub repository revfactory/harness-100 (1,259 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 707 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.
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