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 veryfront/veryfront-code --skill scaffold-ai-appgit clone --depth 1 https://github.com/veryfront/veryfront-codeWrote 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/veryfront/veryfront-code/scaffold-ai-app)<a href="https://agentmods.dev/skills/veryfront/veryfront-code/scaffold-ai-app"><img src="https://agentmods.dev/badge/skills/veryfront/veryfront-code/scaffold-ai-app/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/veryfront/veryfront-code/scaffold-ai-app"><img src="https://agentmods.dev/badge/skills/veryfront/veryfront-code/scaffold-ai-app.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00327 |
| Opus 5.5 | $0.00009 | $0.00131 |
| Sonnet 5.5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
scaffold-ai-app 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 1mo 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.
What it actually says
Scaffold AI App
Create a Veryfront app with AI capabilities: tools, agents, and project conventions.
Steps
-
Create base project
veryfront init <name> --template ai-agent --yes --json -
Scaffold AI primitives (via MCP) Use
vf_scaffoldto generate project-root primitives:agents/<name>.tsfor reusable agent behaviortools/<name>.tsfor callable capabilitiesprompts/<name>.tsfor prompt templatesworkflows/<name>.tsfor multi-step coordination
-
Add an app route Use
vf_scaffoldwithtype: "api"to add a route such asapp/api/ag-ui/route.ts, then wire it to the agent runtime. -
Configure inference Set the model provider token required by the project in
.env. -
Verify
veryfront doctor --json veryfront dev
Error Recovery
- Missing provider token: Check
.envfile and ensure the expected token is set - Tool generation fails: Use
vf_get_conventionsto check patterns, scaffold manually - Provider not found: Check
src/provider/for supported providers
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.
- 1mo ago First seen · 45 lines · 22 tokens per session scan A 0678a18b6151
scaffold-ai-app is a skill published in the GitHub repository veryfront/veryfront-code (19 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 327 once invoked, about $0.0001 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.
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