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 PaulRBerg/agent-skills --skill interview-megit clone --depth 1 https://github.com/PaulRBerg/agent-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/skills/paulrberg/agent-skills/interview-me)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/interview-me"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/interview-me/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/paulrberg/agent-skills/interview-me"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/interview-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.00538 |
| Opus 5.5 | $0.00022 | $0.00215 |
| Sonnet 5.5 | $0.00011 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
interview-me 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Me
This skill is coordination-exempt: skip the ai-coord gate for its declared work.
Clarify what the user wants through a focused, conversational interview without exhausting every possible branch.
Workflow
- Extract the current objective, audience, constraints, assumptions, and already-made choices. Investigate facts available from the conversation, codebase, or supplied evidence instead of asking for them.
- Ask exactly one concise question per turn in plain conversational language. Format every question turn as
### 💬 Question <N> — <topic>, followed by**🧭 Context**, optional**🎯 Recommended**, and**❓ Question**sections, with each label on its own line. Keep the context brief. Include a recommended default only when it makes the question easier to answer. Put exactly one question in the final section. Choose the highest-leverage question whose answer could materially change the direction or next step. - Treat three to five questions as a soft target, not a quota or hard cap. Stop earlier when the direction is already clear. Continue beyond five only when the next answer could still materially change the result. Otherwise, record the uncertainty for the summary.
- Favor intent, scope, success criteria, audience, and key tradeoffs. Follow the threads the user emphasizes instead of mechanically covering every interface, failure mode, operational concern, or other domain.
- Briefly acknowledge or synthesize an answer as
✅ Noted: <choice or implication>only when it advances the conversation. Do not use decision cards, progress counts, exhaustive checklists, repeated recaps, or a formal decision record. Do not reopen settled choices unless new evidence conflicts with them. - Finish immediately when the user asks to stop or when further questions would add little value. Return
### 🧭 Summary,### ✅ Key choices, optional### ❓ Open questions, and### 🏁 Next step. Keep the final response concise. Do not end with another question.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed df629cfc359c
- 2mo ago First seen · 39 lines · 56 tokens per session scan A 45a0421fda17
interview-me is a skill published in the GitHub repository PaulRBerg/agent-skills (104 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 538 once invoked, about $0.0002 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.
interview-me compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| interview-mePaulRBerg/agent-skills | Skill | 104 | 2d ago | MIT | A | 56 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |