Borrowing it
Nothing to install: this file belongs to swimmwatch/cloakbrowser-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/swimmwatch/cloakbrowser-mcp/main/.agents/skills/interview-me/SKILL.mdgit clone --depth 1 https://github.com/swimmwatch/cloakbrowser-mcpWrote 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/swimmwatch/cloakbrowser-mcp/interview-me)<a href="https://agentmods.dev/skills/swimmwatch/cloakbrowser-mcp/interview-me"><img src="https://agentmods.dev/badge/skills/swimmwatch/cloakbrowser-mcp/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/swimmwatch/cloakbrowser-mcp/interview-me"><img src="https://agentmods.dev/badge/skills/swimmwatch/cloakbrowser-mcp/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 | $0.00093 | $0.00427 |
| Opus 5 | $0.00046 | $0.00214 |
| Sonnet 5 | $0.00019 | $0.00085 |
| Haiku 4.5 | $0.00009 | $0.00043 |
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 9d 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 Me
- Read
AGENTS.md, relevant implementation, tests, docs, and existing decisions. Use CodeGraph before broad source search when indexed. - List established facts, unresolved material choices, and the artifact or decision each answer will unblock. Do not ask repository-observable facts.
- Inspect Prompt MCP schemas. Start or reopen a persistent workspace interview
with a stable ID such as
interview:<topic-slug>. - Use
ask_user_batchfor one to five related questions orask_userfor one focused decision. Give questions, categories, options, revisions, and idempotency keys stable semantic IDs. - Use
single,multiple, andtextaccording to answer semantics. Label an evidence-backed recommendation(Recommended); do not addOtheror steer the user when evidence is inconclusive. - Treat only committed answers as decisions. Handle cancellation, timeout, unavailability, invalid input, conflict, failure, pause, and recovery explicitly without inference.
- Reflect each answer against repository evidence and save normalized,
non-sensitive decisions in the requested durable artifact. When the
interview feeds
/spec, follow.agents/references/specification-interview.mdand its ledger. - After interruption, inspect the stored interview and resume unresolved questions only. Never repeat a committed question unnecessarily.
Stop when the requested artifact can be produced without inventing material behavior. Do not automatically create a specification, plan, implementation, commit, PR, or release.
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.
- 9d ago First seen · 33 lines · 93 tokens per session scan A d35c1a738b70
interview-me is a skill published in the GitHub repository swimmwatch/cloakbrowser-mcp (56 stars, last pushed 3d ago), licensed MIT. It adds 93 tokens to every session and 427 once invoked, about $0.0005 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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