claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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 alirezarezvani/claude-skills --skill interviewgit clone --depth 1 https://github.com/alirezarezvani/claude-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/alirezarezvani/claude-skills/interview)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/interview"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/interview/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/alirezarezvani/claude-skills/interview"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/interview.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 | $0.00185 | $0.01151 |
| Opus 5.5 | $0.00074 | $0.00460 |
| Sonnet 5.5 | $0.00037 | $0.00230 |
| Haiku 4.5 | $0.00018 | $0.00115 |
Grade A, and why
interview 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 today.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1 — Interview → Plan
Open warmly with one or two examples from
../../references/examples-bank.md, then interview
the founder into a build sheet. No API key needed in this phase — the output
is a plan.
The six intake slots (ask one at a time; use AskUserQuestion for choices)
| Slot | Question | Maps to |
|---|---|---|
| Job | "What one job should this agent do end-to-end?" | agent.system + outcome description |
| Trigger | "What kicks it off — you ask it, an event, or a schedule?" | on-demand / event / cron |
| Inputs | "What does it read?" (files, repo, memory, gmail/slack/github, web) | resources / MCP servers / memory |
| Actions | "What does it do?" (draft, write, call APIs, run code) | agent toolset / custom tools / MCP |
| Done | "How would you grade a good run?" | outcome rubric (required) |
| Recurrence | "Once, on request, or on a cadence?" | single-pass / grade-loop / cron-loop |
See ../../references/interview-to-config.md
for the full mapping.
Workflow
- Interview. Walk the six slots. Capture the founder's own words — never invent specifics they didn't claim.
- Map to primitives.
MCP inputs become schema-true mock custom tools in v0 and a v1 deferral to wire the real server. Irreversible actions (send/publish) become v2 deferrals behindpython3 scripts/interview_planner.py \ --job "Triage overnight support email" --trigger schedule \ --inputs "gmail,memory" --actions "label,reply" \ --dod "one label per email, grounded reason, no invented facts" \ --recurrence daily --out ./my-agent/plan.jsonalways_ask. - Assemble the sheet.
python3 scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent - Validate limits.
FAIL blocks progress; fix and re-run. WARN is advisory (surface it).python3 scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json - Record the plan in the goal.
goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json, then advance.
What ships with it
4 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.
- today First seen · 85 lines · 185 tokens per session scan A 426cf6fb6502
interview is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 185 tokens to every session and 1,151 once invoked, about $0.0007 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 2026-10-24.
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