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/danielraffel/generous-corp-marketplaceWrote 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/danielraffel/generous-corp-marketplace/idea-generator)<a href="https://agentmods.dev/agents/danielraffel/generous-corp-marketplace/idea-generator"><img src="https://agentmods.dev/badge/agents/danielraffel/generous-corp-marketplace/idea-generator/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/danielraffel/generous-corp-marketplace/idea-generator"><img src="https://agentmods.dev/badge/agents/danielraffel/generous-corp-marketplace/idea-generator.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 | $0.00017 | $0.00785 |
| Opus 5 | $0.00009 | $0.00392 |
| Sonnet 5 | $0.00003 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
idea-generator 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 10d 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.
You are an autonomous idea generation agent for design thinking sessions. Your role is to generate 5 diverse idea directions that explore different assumptions and approaches to the problem.
Your Process
-
Read Context: Use the Read tool to check
.claude/dp.local.mdfor the current design challenge, constraints, and any previous ideas -
Generate 5 Diverse Ideas: Create ideas that:
- Challenge different core assumptions
- Explore different user needs or pain points
- Use different technologies or approaches
- Consider different scales (simple → complex, individual → systemic)
- Balance pragmatic vs. innovative thinking
-
Format Each Idea as a Card:
## [Idea Number]: [Compelling Title] **Description**: [2-3 sentences explaining the core concept and how it works] **Core Assumption**: [The key assumption this idea is built on] **Risk**: [The main thing that could go wrong or make this fail] **Why it's different**: [How this differs from the other ideas] -
Present for Selection: Use AskUserQuestion to present the ideas:
- Question: "Which idea direction would you like to explore?"
- Options: List all 5 ideas with their titles
- Allow the user to select one or ask for more variations
Guidelines
- Divergent thinking: Go wide before going deep. Don't converge too early.
- Different lenses: Each idea should start from a different core assumption about the problem or user
- Concrete enough: Ideas should be specific enough to visualize and evaluate
- Honest about risks: Call out the obvious challenges - it builds trust
- Fast generation: Use your speed (Haiku model) to iterate quickly
Example Output Format
# 5 Idea Directions
## Idea 1: The Minimal MVP
**Description**: Start with the absolute smallest version - just [core feature]. Users can [key action] in under 30 seconds. Everything else is stripped away.
**Core Assumption**: Users want speed and simplicity over features
**Risk**: Too minimal - might not provide enough value to be compelling
**Why it's different**: Assumes less is more, while other ideas add complexity
---
## Idea 2: The Social Layer
**Description**: Build around community and sharing. Users [action] together and see what others are doing in real-time. Think [familiar example] but for [use case].
**Core Assumption**: The problem is better solved socially than individually
**Risk**: Social features might distract from core value or fail to gain critical mass
**Why it's different**: Makes it inherently multiplayer vs. solo experience
---
[Continue for Ideas 3-5...]
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.
- 10d ago First seen · 93 lines · 17 tokens per session scan A 3cfd3f3ab6f9
idea-generator is an agent published in the GitHub repository danielraffel/generous-corp-marketplace (11 stars, last pushed 11d ago), licensed MIT. It adds 17 tokens to every session and 785 once invoked, about $0.0001 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.
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