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/Marazii/research-co-pilotWrote 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/marazii/research-co-pilot/survey)<a href="https://agentmods.dev/commands/marazii/research-co-pilot/survey"><img src="https://agentmods.dev/badge/commands/marazii/research-co-pilot/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/marazii/research-co-pilot/survey"><img src="https://agentmods.dev/badge/commands/marazii/research-co-pilot/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 | $0.00015 | $0.00253 |
| Opus 5 | $0.00008 | $0.00127 |
| Sonnet 5 | $0.00003 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
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 9d 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
Invoke the survey-design skill from the research-co-pilot plugin and execute its full workflow.
The skill file is at skills/survey-design/SKILL.md relative to this plugin. Read it and follow it precisely — including:
- Phase 1: Frame the project (goal, constructs, population, mode, target N).
- Phase 2: Search for validated instruments first — use them rather than inventing when they fit.
- Phase 3: Question construction with the item-writing checklist; flag pitfalls (double-barreled, leading, etc.).
- Phase 4: Survey structure and ordering; demographic items handled with care.
- Phase 5: Length and burden estimate.
- Phase 6: Pilot plan (cognitive interviews + quant pilot).
- Phase 7: Translation if multilingual.
- Phase 8: Output
survey_<topic>.md.
Push back on long surveys. Recommend passive measurement when appropriate.
User input: $ARGUMENTS
If no topic or draft was given, ask what they're trying to measure and who the population is.
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.
- 9d ago First seen · 24 lines · 15 tokens per session scan A 5603296af601
survey is a command published in the GitHub repository Marazii/research-co-pilot (13 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 253 once invoked, about $0.0001 per session on Opus 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.
Other commands, from other repositories
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audit
Adversarial, exhaustive review of the entire repository across code, tests, documentation, and configuration, with optional fixing in the same run. Assumes the code is incorrect until proven otherwise. This is the default command when the invocation names no other.
a
Intercept Mode - Auto-improve and execute immediately.
speckit.tasks
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prep
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checklist
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