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 skills add majiayu000/claude-skill-registry --skill agent-builder-vercel-sdk-guaderrama-ai-paintergit clone --depth 1 https://github.com/majiayu000/claude-skill-registryWrote 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/skills/majiayu000/claude-skill-registry/agent-builder-vercel-sdk-guaderrama-ai-painter)<a href="https://agentmods.dev/skills/majiayu000/claude-skill-registry/agent-builder-vercel-sdk-guaderrama-ai-painter"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-builder-vercel-sdk-guaderrama-ai-painter/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/skills/majiayu000/claude-skill-registry/agent-builder-vercel-sdk-guaderrama-ai-painter"><img src="https://agentmods.dev/badge/skills/majiayu000/claude-skill-registry/agent-builder-vercel-sdk-guaderrama-ai-painter.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 | $0.00000 | $0.00204 |
| Opus 5.5 | $0.00000 | $0.00082 |
| Sonnet 5.5 | $0.00000 | $0.00041 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
agent-builder-vercel-sdk-guaderrama-ai-painter 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 6d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- agent-builder-vercel-sdk-guaderrama-cabo-health-ai — 100% identical, 6 lines differ
- agent-builder-vercel-sdk — 100% identical, 6 lines differ
What it actually says
agent-builder-vercel-sdk-guaderrama-ai-painter
This page used to hold an archived copy of this skill. The archive now lives in the registry's data repository.
- Archived SKILL.md (snapshot from 2026-10-08)
- Find this skill in Claude Skills Registry
- Request removal
This pointer keeps old links working. It is not an installable skill.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago Changed · -357 lines · -39 tokens per session 5852324b163c
- 1mo ago First seen · 367 lines · 39 tokens per session scan A bfc9f41948a7
agent-builder-vercel-sdk-guaderrama-ai-painter is a skill published in the GitHub repository majiayu000/claude-skill-registry (693 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 204 tokens. 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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