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 akiotanaka847/qaio-desktop --skill prep-an-interviewergit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/prep-an-interviewer)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/prep-an-interviewer"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/prep-an-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/skills/akiotanaka847/qaio-desktop/prep-an-interviewer"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/prep-an-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 | $0.00051 | $0.01233 |
| Opus 5 | $0.00026 | $0.00616 |
| Sonnet 5 | $0.00010 | $0.00247 |
| Haiku 4.5 | $0.00005 | $0.00123 |
Grade A, and why
prep-an-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 6d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prep an Interviewer
When to use
- Explicit: "prep me to interview {candidate}", "what should I ask {candidate}", "interview brief for {candidate}", "brief me for {candidate} loop".
- Implicit: called as dependency by
coordinate-an-interview-loop- every panelist needs tailored brief. - One invocation = one interviewer-side brief. Panel briefing? Call per interviewer via
coordinate-an-interview-loop.
Connections I need
I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing → I name the category, ask you to connect it from the Integrations tab, stop.
- Docs (Notion, Google Docs) — read prior interview rubrics or share the brief if you keep them in a shared workspace. Optional.
- Web scrape (LinkedIn) — refresh background facts from a public profile if the candidate record is thin. Optional.
- Inbox (Loops or Gmail) — pull prior candidate-thread context for the interviewer brief. Optional.
This skill reads mostly local files, so missing connections won't block me — I'll just work with what's already in your candidate record.
Information I need
I read your people context first. For every required field that's missing I ask ONE plain-language question (best modality: connected app > file drop > URL > paste) and wait.
- Candidate record — Required. Why I need it: every claim in the brief traces to it. If missing I ask: "Run a screen on this candidate first by dropping the resume or sharing the LinkedIn URL, so I have something to brief from."
- Role rubric — Required. Why I need it: I score interview questions against your must-haves. If missing I ask: "What role is this candidate for, and what are your top three must-haves?"
- Interviewer name and focus area — Required. Why I need it: each panelist owns different rubric criteria. If missing I ask: "Who's running this interview, and what's their focus, technical, systems, leadership, or values?"
- Leveling framework — Required. Why I need it: scoring rubric is tied to the bar at this level. If missing I ask: "What level are we hiring for, and how would you describe what 'meeting the bar' looks like at that level?"
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.
- 6d ago First seen · 66 lines · 51 tokens per session scan A f1e533f264a8
prep-an-interviewer is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 51 tokens to every session and 1,233 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 2026-09-05.
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