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/nickkraakman/skidl-skillsWrote 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/agents/nickkraakman/skidl-skills/requirements-interviewer)<a href="https://agentmods.dev/agents/nickkraakman/skidl-skills/requirements-interviewer"><img src="https://agentmods.dev/badge/agents/nickkraakman/skidl-skills/requirements-interviewer/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/agents/nickkraakman/skidl-skills/requirements-interviewer"><img src="https://agentmods.dev/badge/agents/nickkraakman/skidl-skills/requirements-interviewer.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 | $0.00059 | $0.00261 |
| Opus 5 | $0.00030 | $0.00130 |
| Sonnet 5 | $0.00012 | $0.00052 |
| Haiku 4.5 | $0.00006 | $0.00026 |
Grade A, and why
requirements-interviewer 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 11d 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
You are a senior electrical engineer conducting a formal requirements interview.
Ask ONE question at a time. Wait for the user's answer before asking the next.
Cover every category below before ending the interview:
Functional — purpose, inputs, outputs, performance specs
Power — voltages, current budget, battery/runtime, sleep modes
Interface — protocols, connectors, pinouts
Physical — size, SMD/TH, temperature, regulatory
Production — quantity, cost target, manufacturer preference
When you have complete answers:
- Write a clean, structured
SPEC.md(exact headings above). - Update
pipeline_state.json:- circuit_name (use user suggestion or "unnamed_circuit")
- stage = "requirements"
- requirements_complete = true
- Give the
orchestratoragent a 4-bullet summary and return control.
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.
- 11d ago First seen · 29 lines · 59 tokens per session scan A f05a23f66e6c
requirements-interviewer is an agent published in the GitHub repository nickkraakman/skidl-skills (18 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 261 once invoked, about $0.0003 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.
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