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 jscraik/Agent-Skills --skill interview-megit clone --depth 1 https://github.com/jscraik/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/jscraik/agent-skills/interview-me)<a href="https://agentmods.dev/skills/jscraik/agent-skills/interview-me"><img src="https://agentmods.dev/badge/skills/jscraik/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/jscraik/agent-skills/interview-me"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/interview-me.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 | $0.00025 | $0.00593 |
| Opus 5.5 | $0.00010 | $0.00237 |
| Sonnet 5.5 | $0.00005 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00059 |
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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Me
Philosophy
Ask the smallest useful question, reduce uncertainty quickly, and preserve an explicit approval boundary.
When To Use
- One or two decisions would materially change the work.
- The user needs assumptions, tradeoffs, or approval gates clarified.
- A downstream planning or implementation skill needs a compact handoff.
Avoid
- Do not use when the request is already implementation-ready.
- Do not run a broad discovery workshop when one decision question will unblock the work.
- Do not prescribe implementation before unresolved decisions are closed or declared as assumptions.
Inputs
- User request and target repo or artifact.
- Evidence source such as files, diffs, issues, releases, or existing workflow state.
- Any safety, privacy, compliance, or approval constraints.
Outputs
- Schema-bound outputs include
schema_version. - Decision log with assumptions and constraints.
- Approval status.
- Compact handoff for the next skill.
Workflow
- Ask one high-impact question with 3-5 choices and one recommended default.
- Explain briefly why the answer matters.
- Ask a second question only if a material blocker remains.
- Maintain a compact decision and assumption log.
- End with approved, needs-input, or blocked plus the next route.
Constraints
- Redact secrets and sensitive context by default.
- Do not ask broad exploratory questions without a decision payoff.
- Do not invent constraints or approval.
- Fail fast at the first missing input that would change the outcome.
Validation
- Run Plugin Eval and strict skill audit after editing this skill.
- Report exact validation commands and pass/fail outcomes.
- Fail fast: stop at the first failed gate, fix it, and rerun before continuing.
Anti-Patterns
- Do not use when the request is already implementation-ready.
- Do not run a broad discovery workshop when one decision question will unblock the work.
- Do not prescribe implementation before unresolved decisions are closed or declared as assumptions.
What ships with it
3 files 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 First seen · 72 lines · 25 tokens per session scan A 93ce2d2cebff
interview-me is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 25 tokens to every session and 593 once invoked, about $0.0001 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 2026-09-13.
Other skills, from other repositories
agui-dotnet-streaming-chat
Get started with the AG-UI .NET SDK: bootstrap and run your first streaming-chat app (client + server) with the AG-UI .NET NuGet packages (AGUI.Client, AGUI.Server, AGUI.Formatting, AGUI.Abstractions). USE FOR: which packages to install and how to wire them; constructing an AGUIChatClient against an endpoint and…
agui-dotnet-protobuf
Use the protobuf wire transport (instead of the default Server-Sent Events) for an AG-UI connection with the AG-UI .NET SDK — a compact binary event stream negotiated via the Accept header. USE FOR: making an AGUIChatClient prefer protobuf by wiring an AGUIEventStreamHandler with ProtobufEventStreamFormatter (then…
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
moai-ref-ui-polish
UI polish and interface-completion reference: the small visual details — concentric border radius, optical alignment, shadow-vs-border, motion easing, typography smoothing, tabular numbers, icon stroke weight, hit areas — that separate polished interfaces from generic ones. Agent-extending skill that amplifies…
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution.
strict-tdd
Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.