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 RiggdAI/uniqent --skill interview-kitgit clone --depth 1 https://github.com/RiggdAI/uniqentWrote 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/riggdai/uniqent/interview-kit)<a href="https://agentmods.dev/skills/riggdai/uniqent/interview-kit"><img src="https://agentmods.dev/badge/skills/riggdai/uniqent/interview-kit.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00263 |
| Opus 5 | $0.00014 | $0.00131 |
| Sonnet 5 | $0.00006 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
interview-kit 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.
What it actually says
Interview Kit
- Read the role brief. Identify the core competencies (typically three to six) that map to must-haves and key nice-to-haves.
- For each competency, write:
- One opening behavioural question ("Tell me about a time you…").
- One follow-up probe to dig into specifics ("What was your individual contribution vs. the team's?").
- The evidence the interviewer should listen for (concrete actions, measurable outcomes, reflection).
- What a strong answer looks like vs. a weak answer (two- to three-bullet contrast).
- For each shortlisted candidate, append a personalised "gap probe" section: convert their must-have gaps (from the candidate card) into targeted questions that give them a chance to address the gap.
- Include a scoring guide: rate each answer 1–4 (1 = no evidence, 4 = exceptional evidence with unprompted depth).
- Close with a consensus-decision section: a brief template for the debrief meeting to record individual scores and reach a hire/no-hire recommendation.
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 · 21 lines · 28 tokens per session scan A 1d5cb9851a66
interview-kit is a skill published in the GitHub repository RiggdAI/uniqent (15 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 263 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.
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