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 commands/danielraffel/generous-corp-marketplace/visualizegit 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/visualize)<a href="https://agentmods.dev/commands/danielraffel/generous-corp-marketplace/visualize"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/visualize.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 | $0.00016 | $0.02250 |
| Opus 5 | $0.00008 | $0.01125 |
| Sonnet 5 | $0.00003 | $0.00450 |
| Haiku 4.5 | $0.00002 | $0.00225 |
Grade B, and why
visualize scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
### 5. Show Prompt and Offer Copy Option Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -o "${images_dir}/${filename}" "${imageUrl}" How it starts
The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Partner Visualize Command
For Claude: Generate actual images using DALL-E 3 or Gemini Imagen based on design ideas.
Process
1. Check API Key Availability
# Run detection script
node ${CLAUDE_PLUGIN_ROOT}/scripts/detect-api-keys.js
If no keys found, inform user:
No image generation providers configured.
To generate images, you'll need an API key from:
- OpenAI DALL-E 3: https://platform.openai.com/api-keys (~$0.04/image)
- Google Gemini: https://aistudio.google.com/app/apikey (~FREE/image)
Run /dp:providers setup to configure.
2. Load Context
- Read
.claude/dp.local.mdto get:- Current idea (if
idea-idprovided, load that specific idea) - Design Brief (users, job, constraints)
- Current budget and spend
- Current idea (if
3. Use AskUserQuestion (2 questions)
{
"questions": [
{
"question": "What type of image should I generate?",
"header": "Image Type",
"multiSelect": false,
"options": [
{
"label": "UI Mockup",
"description": "Realistic product screenshot or interface"
},
{
"label": "Concept Illustration",
"description": "Artistic representation of the idea"
},
{
"label": "User Scenario",
"description": "Person using the product in context"
},
{
"label": "Marketing Visual",
"description": "Hero image for landing page or presentation"
}
]
},
{
"question": "Which provider should I use?",
"header": "Provider",
"multiSelect": false,
"options": [
{
"label": "DALL-E 3 (OpenAI) - $0.04",
"description": "Best quality, photorealistic (Recommended)"
},
{
"label": "Gemini 3 Pro - Free (preview)",
"description": "Good quality, budget-friendly"
},
{
"label": "Use my default",
"description": "Auto-select based on your settings"
}
]
}
]
}
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 · 349 lines · 16 tokens per session scan B e3e03a026f10
visualize is a command published in the GitHub repository danielraffel/generous-corp-marketplace (11 stars, last pushed 6d ago), licensed MIT. It adds 16 tokens to every session and 2,250 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (asks the agent to reveal its instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.