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 agentmods add skills/nullhack/temple8/consolidate-interviewnpx skills add nullhack/temple8 --skill consolidate-interviewgit clone --depth 1 https://github.com/nullhack/temple8What 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 | $0.00030 | $0.00407 |
| Opus 5 | $0.00015 | $0.00204 |
| Sonnet 5 | $0.00006 | $0.00081 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
consolidate-interview 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 2d 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
Consolidate Interview
- Load [[requirements/ubiquitous-language]], [[methodology/simplicity-discipline]] — term extraction for the glossary and the simplicity discipline that enforces the drop at consolidation. This level synthesises (Active Listening L3, applied in step 3); it does not probe.
- Read the running interview-notes across all three levels.
- Apply Active Listening L3: replace the running notes with the full synthesis across all three funnel levels and present it to the stakeholder for approval. The summary reflects what the stakeholder said — no new framing or topic labels.
- Drop speculative items per [[methodology/simplicity-discipline]]: every behaviour group, building block, quality attribute, and field surfaced at any funnel level is either grounded in a cited stakeholder need (a CIT incident, a laddered constraint, a named access pattern) or removed from the synthesis before approval. An item with no cited grounding does not reach the contracts — the contracts are the smallest surface that serves the cited needs, neither over- nor under-engineered. Flag each drop in the synthesis so the stakeholder can object; an unchallenged drop is final.
- Render
docs/glossary.mdfrom.templates/docs/glossary.md.template(substitute<project-name>): one## Context: <bounded-context>section per context, one### <Term>entry per term in the template's format (A <category> that <distinguishing characteristic>.+*Aliases: … · Source: …*), from the stakeholder's own terms, so it leads all subsequent naming per [[requirements/ubiquitous-language]]. - Exit interview-ready when the stakeholder approves; re-enter the funnel at general whenever plan or build finds the elicitation itself was insufficient.
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.
- 2d ago First seen · 14 lines · 30 tokens per session scan A 912415609b11
consolidate-interview is a skill published in the GitHub repository nullhack/temple8 (11 stars, last pushed 27d ago), licensed MIT. It adds 30 tokens to every session and 407 once invoked, about $0.0002 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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