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 nullhack/temple8 --skill interview-generalgit clone --depth 1 https://github.com/nullhack/temple8Wrote 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/nullhack/temple8/interview-general)<a href="https://agentmods.dev/skills/nullhack/temple8/interview-general"><img src="https://agentmods.dev/badge/skills/nullhack/temple8/interview-general/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/nullhack/temple8/interview-general"><img src="https://agentmods.dev/badge/skills/nullhack/temple8/interview-general.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 | $0.00030 | $0.00366 |
| Opus 5.5 | $0.00012 | $0.00146 |
| Sonnet 5.5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
interview-general 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
Interview (General)
- Load [[requirements/interview-techniques]], [[methodology/simplicity-discipline]] — CIT, Laddering, CI Perspective Change, the Funnel, the Active Listening protocol, and the simplicity discipline that runs alongside every funnel level.
- Bootstrap the interview-notes. IF
.cache/<session_id>/interview-notes.mddoes not exist THEN render it from.templates/cache/interview-notes.md.template(substitute<session_id>). The skeleton carries the funnel level headers only; absence on a first pass is expected — never a deliberation point. IF it exists THEN it carries the prior cycle's summarized interview (a ~1000-word summary left byrefresh-cycle) — read it for continuity and append the general findings beneath the Level 1 header. - Ask seven big-picture questions in any natural order: Who, What, Why, When/Where, Success, Failure, Out-of-scope. Do not introduce category or topic labels — let the stakeholder's own categories emerge first (priming bias).
- Probe every answer with CIT (a concrete past incident) and Laddering (climb to a writable constraint). IF recall stalls THEN re-frame from another actor's seat (CI Perspective Change).
- Ask the simplicity question: "What's the smallest surface that meets the need?" The stakeholder's answer names the minimum the contracts must honour; an answer that inflates scope beyond the cited need is a speculative structure, flagged here per [[methodology/simplicity-discipline]].
- Apply Active Listening L1: paraphrase each answer before the next question.
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 · 14 lines · 30 tokens per session scan A c953596c700f
interview-general is a skill published in the GitHub repository nullhack/temple8 (11 stars, last pushed 29d ago), licensed MIT. It adds 30 tokens to every session and 366 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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