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/ooiyeefei/cccWrote 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/ooiyeefei/ccc/turn-into-app)<a href="https://agentmods.dev/commands/ooiyeefei/ccc/turn-into-app"><img src="https://agentmods.dev/badge/commands/ooiyeefei/ccc/turn-into-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/commands/ooiyeefei/ccc/turn-into-app"><img src="https://agentmods.dev/badge/commands/ooiyeefei/ccc/turn-into-app.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 | $0.00027 | $0.01615 |
| Opus 5.5 | $0.00011 | $0.00646 |
| Sonnet 5.5 | $0.00005 | $0.00323 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
turn-into-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 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Turn Survey Into App
Take a finalized survey design (output from /design-survey or a Markdown spec the user provides) and emit a working app scaffold the user can npm install && npm run dev immediately.
Usage
/turn-into-app
Or with a path to a design doc:
/turn-into-app from survey-design-2026-04-29.md
Process
Always invoke the rethink-surveys skill first. Then load references/multimodal-ux.md for stack and code-pattern guidance.
Step 1 — Confirm the design is final
Ask if not obvious:
"Is this the final question set? If you're still iterating on questions, run /design-survey first — it's harder to fix questions after the app exists."
Step 2 — Stack selection
Ask the user to pick:
| Stack | Best for |
|---|---|
| TanStack Start + Supabase | Production-grade, voice support, multilingual, mobile web. (Proxymate stack — battle-tested.) |
| Next.js + Supabase | Team already on Next.js. Roughly equivalent capability. |
| Static HTML + Supabase Edge Functions | One-off survey, no team, minimal infra. |
| Reboot.ai | AI-interviewer is the primary modality. |
Default if user hasn't picked: TanStack Start + Supabase (Proxymate-style).
Step 3 — Storage selection
Ask:
| Storage | When |
|---|---|
| Supabase (managed Postgres + Storage + Edge Functions) | Production. Standard. |
| Local JSON file + simple express server | Hackathon prototype, no online deps. |
| Bring your own DB | User has an existing schema/host they want to write into. |
Default: Supabase.
Step 4 — Voice + AI mode
If the design includes voice or AI-interviewer mode, ask for relevant credentials:
- Deepgram API key for transcription (voice). Free tier covers $200, no card needed.
- Anthropic API key for AI-interviewer. Use Claude Haiku 4.5 for extraction, Claude Sonnet 4.6 for the conversation loop.
Don't bake credentials into code; emit env-var references and a .env.example file.
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 · 147 lines · 27 tokens per session scan A af7f2bfec88d
turn-into-app is a command published in the GitHub repository ooiyeefei/ccc (499 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 1,615 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.
turn-into-app compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| turn-into-appooiyeefei/ccc | Command | 499 | 8d ago | MIT | A | 27 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |