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/commands/danielraffel/generous-corp-marketplace/start)<a href="https://agentmods.dev/commands/danielraffel/generous-corp-marketplace/start"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/start/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/commands/danielraffel/generous-corp-marketplace/start"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/start.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 | $0.00011 | $0.00723 |
| Opus 5.5 | $0.00004 | $0.00289 |
| Sonnet 5.5 | $0.00002 | $0.00145 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
start 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Partner Start Command
For Claude: Initialize a new design session by capturing context and generating initial ideas.
Process
-
Capture Context - Use AskUserQuestion with 3 questions to understand the design challenge:
- Who are the users?
- What job needs to be done?
- What constraints exist?
-
Create Design Brief - Synthesize answers into structured brief
-
Save State - Write to
.claude/dp.local.md -
Generate Ideas - Invoke the idea-generator agent
Implementation
// Use AskUserQuestion to gather context
const questions = [
{
question: "Who are the primary users or audience?",
header: "Target Users",
placeholder: "e.g., College students, small business owners, healthcare workers..."
},
{
question: "What job needs to be done? What problem are you solving?",
header: "Job to Be Done",
placeholder: "e.g., Stay focused while studying, Track fitness progress, Manage client appointments..."
},
{
question: "What constraints should we consider?",
header: "Constraints",
placeholder: "e.g., Mobile-first, Works offline, Limited budget, Must integrate with existing systems..."
}
];
State Schema
Create .claude/dp.local.md with:
---
session_id: "dp-[timestamp]"
project_name: "[from args or generated]"
created_at: "[ISO timestamp]"
last_updated: "[ISO timestamp]"
design_brief:
users: "[answer 1]"
job_to_be_done: "[answer 2]"
constraints: "[answer 3 as array]"
ideas: []
selected_idea: null
image_generation:
enabled: false
default_provider: "openai"
fallback_order: ["openai", "gemini"]
default_size: "1024x1024"
default_quality: "standard"
daily_budget_usd: 5.00
warn_threshold_usd: 0.50
current_daily_spend: 0.00
last_reset_date: "[today's date]"
providers:
openai:
configured: false
enabled: false
last_used: null
total_images: 0
total_cost_usd: 0.00
gemini:
configured: false
enabled: false
last_used: null
total_images: 0
total_cost_usd: 0.00
generated_images: []
decisions: []
---
# Design Brief
**Users:** [users]
**Job to Be Done:** [job]
**Constraints:**
- [constraint 1]
- [constraint 2]
- [constraint 3]
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 · 136 lines · 11 tokens per session scan A 26b1e059ff7c
start is a command published in the GitHub repository danielraffel/generous-corp-marketplace (12 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 723 once invoked, about $0.0000 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.
start compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| startdanielraffel/generous-corp-marketplace | Command | 12 | 2mo ago | MIT | A | 11 | Claude Code |
| profilecathrynlavery/diagram-design | Command | 66k | yesterday | MIT | A | 16 | Claude Code |
| ui-flow-reviewMRCalderon3D/everything-game-dev-code | Command | 106 | 3d ago | MIT | A | 15 | Claude Code |
| erne-animateJubaKitiashvili/everything-react-native-expo | Command | 50 | 1mo ago | MIT | A | 21 | Claude Code |
| information-architectTenon-Net/TenonAdmin | Command | 43 | 17d ago | Apache-2.0 | A | 14 | Claude Code, Codex |
| responsive-design-specialistimsaif/design-with-claude | Command | 11 | 5d ago | MIT | A | 36 | Claude Code |
| design-auditw2ur/claude-code-setup | Command | 2 | 2d ago | MIT | A | 30 | Claude Code |