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/design-survey)<a href="https://agentmods.dev/commands/ooiyeefei/ccc/design-survey"><img src="https://agentmods.dev/badge/commands/ooiyeefei/ccc/design-survey/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/design-survey"><img src="https://agentmods.dev/badge/commands/ooiyeefei/ccc/design-survey.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 | $0.00021 | $0.01415 |
| Opus 5.5 | $0.00008 | $0.00566 |
| Sonnet 5.5 | $0.00004 | $0.00283 |
| Haiku 4.5 | $0.00002 | $0.00142 |
Grade A, and why
design-survey 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Survey
Walk the user through designing a new survey, end to end. Output is a finalized question set + output schema, ready to hand off to /turn-into-app.
Usage
/design-survey
Optionally with a use-case hint:
/design-survey for a startup founder doing customer discovery
/design-survey for an event we're running next month
/design-survey for our gig-worker retention diagnosis
Process
Always invoke the rethink-surveys skill first. Then walk the user through these steps in order, asking ONE question per turn. Don't dump the whole flow at once.
Step 1 — Research goal (mandatory)
Ask: "In one sentence, what's the research goal? Pretend you're explaining to a busy stakeholder why this survey is worth doing."
If the user gives a vague answer ("to understand users"), push back: "Specifically — what decision will the survey help you make? If 100 responses came in tomorrow, what would change?"
Don't proceed without a sharp goal.
Step 2 — Audience
Ask: "Who's the respondent, and how will they encounter the survey? (e.g., QR code at venue, email to warm list, push from in-app)"
The answer determines the modality default:
- QR / cold → form, ≤60s
- Email / warm → form + voice, ≤90s
- In-app / engaged → AI-interviewer mode possible
Step 3 — Length budget
Ask: "What's an honest length budget? 60 / 90 / 180 seconds, or longer?"
Reference Jarrett's rule: never lie about length on the landing page. If they say 60s, they need a 60s instrument.
Step 4 — Hypotheses
Ask: "What 2–4 things are you trying to prove or disprove? Each becomes a section of the survey."
If they don't have hypotheses → suggest reading references/use-cases.md for templates with pre-formed hypotheses they can fork.
Step 5 — Match to template (if applicable)
If the use case matches event organizers / startup founders / gig-economy workers → load the template from references/use-cases.md and propose it as the starting point. Make clear they can fork/adapt.
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 · 164 lines · 21 tokens per session scan A 25e212efad2d
design-survey is a command published in the GitHub repository ooiyeefei/ccc (499 stars, last pushed 8d ago), licensed MIT. It adds 21 tokens to every session and 1,415 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.
design-survey compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| design-surveyooiyeefei/ccc | Command | 499 | 8d ago | MIT | A | 21 | 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 |