Agent skill

Interview

by boshu2 in boshu2/agentops

Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone.

Apache-2.0Auto-check passed

Install Interview

skills CLI
$ npx skills add boshu2/agentops --skill interview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install boshu2/agentops interview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/boshu2/agentops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/interview .claude/skills/interview && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
interview
GitHub stars
447
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
538 words
Files
2
Skills in repo
31
Repo updated
First seen
Licence
Apache-2.0

At a glance

Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone.

  • Works in 4 steps: Look it up in the tracker, docs and code… → Pick the branch. Start with the outcome,… → Ask one question in this shape, so the… → …
  • : selected by name
  • SKILL.md covers Each turn, Answerer, BDD: acceptance as examples and DDD: one term per concept, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview is an agent skill from boshu2/agentops. Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone. Use when: selected by name.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: DevOps discipline for AI coding agents: shape the work, track it as a graph, and get each change judged by a context that didn't write it. The licence is Apache-2.0.

When your agent uses it

  • : selected by name

Example prompts

  • “/interview”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Look it up in the tracker, docs and code first. Ask only for choices
  2. Pick the branch. Start with the outcome, then the open branch that most
  3. Ask one question in this shape, so the caller can accept, amend or
  4. Record only what the caller decides. A skip stays open; "your call"

What it can do on your machine

Read from SKILL.md and the folder at commit 3bdbfed. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are gherkin and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Interview loads about 1.3k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 538 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from boshu2/agentops at commit 3bdbfed, republished under its Apache-2.0 licence (© boshu2). 538 words, ~1,275 tokens.

Download SKILL.mdSave it as .claude/skills/interview/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
interview
description
Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone. Use when: selected by name.
practices
bdd-gherkin, ddd-bounded-context, design-by-contract
hexagonal_role
domain
consumes
repo-context, native-work-state
produces
caller-outcome, goal-acceptance
skill_api_version
1
user-invocable
true
disable-model-invocation
true
metadata.tier
execution
metadata.capabilities
interview_caller, settle_caller_choices, write_acceptance_examples, settle_domain_terms
metadata.effects
update_intent_source

Interview

Shape a big outcome with the caller, one question per turn, before agents run alone. You look up facts; the caller makes choices. Why: answering shapes the caller's thinking, and control is highest before launch. Interview creates nothing new (no goal, bead or file) and changes no status, claim or closure; within authority it only appends settled notes to an existing intent source (see Show the state).

Each turn

  1. Look it up in the tracker, docs and code first. Ask only for choices: outcome, proof, non-goals, authority, budgets, priorities, risk tolerance.
  2. Pick the branch. Start with the outcome, then the open branch that most changes acceptance, scope or authority. Defer any that change no decision.
  3. Ask one question in this shape, so the caller can accept, amend or reject in one line. Wait for the answer.
  4. Record only what the caller decides. A skip stays open; "your call" accepts the recommendation shown. A revision reopens dependent answers.
text
Q<n>: <the decision>. <the question, with 2 to 4 options when they exist>
My recommendation: <answer>, because <source or reason>.
Tradeoff: <the one cost that matters>

Answerer

The caller answers by default. On request ("let a council answer my interview"), a council answers through Council's interview-panel mode; the caller accepts or amends its answers in one pass before anything is recorded, and authority, budgets and acceptance changes stay the caller's.

BDD: acceptance as examples

Drive each criterion to a Given/When/Then with an observable result and its proving evidence. Draft the example yourself as the recommendation; the caller accepts or edits it. "Works reliably" is not acceptance; ask what would be seen.

gherkin
Given a Job has already completed
When the worker receives that Job again
Then it returns the completed result without a second side effect
# Proof: a redelivery test asserts one side effect and the completed result

DDD: one term per concept

When a word is vague, overloaded or has synonyms, ask which term the domain uses. Record one term with a one-line definition and use only it in examples, notes, code and tests. Domain owns deeper modeling.

Show full SKILL.md (250 more words)Show less

Show the state

Open each turn with one line: what just settled and how many choices stay open. Show these lists on request, after a revision and at stop:

  • Decided: each choice; acceptance carries its Given/When/Then and proof.
  • Terms: each settled term with its one-line definition.
  • Open: unanswered choices, most consequential first.
  • Deferred: choices that change no next decision, and what revives them.

Within authority, append settled decisions and terms to the intent source (root epic, issue or conversation), and Open and Deferred at stop. If a goal already runs on that epic, do not append a changed criterion or term; list it under Open as an acceptance change so the caller can hold and re-craft first. In BD:

bash
bd context --json    # confirm the destination before any write
bd show <epic-id>    # on resume: reuse settled notes, start from Open
bd update <epic-id> --append-notes "decided: <choice> | example: <Given/When/Then>"

Stop and hand off

Stop when the caller stops, the next question would only restate a settled answer, the work proves to be one slice, or Craft Goal admission is decided:

  1. outcome and non-goals;
  2. terminal acceptance, each criterion with its proving evidence;
  3. authority: reads, writes, external effects, Git, and when agents must ask;
  4. budgets: numeric limits per wave of work and for the whole goal, which nothing renews, and how many results that change no decision trigger HOLD (implementation stops for causal review);
  5. the first falsifiable question.

Hand over the lists; the caller starts the next step: Craft Goal for several related experiments, RPI or Plan for one outcome with items 1 to 3 and real bounds. Open items stay open; never fill one to finish.

© boshu2, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/interview of boshu2/agentops.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 3bdbfed

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in boshu2/agentops, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Interview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Interview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview this skillboshu2/agentops4471 repos~1.3kAutomated safety check: PassApache-2.0
Interviewcodewhale-hq/Codewhale41k—~232Automated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
Interview Question Bankmohitagw15856/pm-claude-skills1.4k—~993Automated safety check: PassMIT
Interviewalirezarezvani/claude-skills28k—~1.1kAutomated safety check: PassMIT
Interview PrepRightNow-AI/openfang18k—~973Automated safety check: PassApache-2.0

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Questions about Interview

What does Interview do?

Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone. Interview is an agent skill from boshu2/agentops. Interview you one question at a time, each with a recommendation, to settle a big outcome before agents work alone.

When should I use Interview?

Interview fits situations like: : selected by name.

How do I install Interview in Claude Code?

Run `npx skills add boshu2/agentops --skill interview -a claude-code`. Or copy the skill folder (skills/interview in boshu2/agentops) into .claude/skills/interview in your project. Claude Code loads it when a task matches its description.

How do I install Interview in Codex?

Run `npx skills add boshu2/agentops --skill interview -a codex`. Or copy the skill folder (skills/interview in boshu2/agentops) into .agents/skills/interview in your project. Codex loads it when a task matches its description.

Can I use Interview in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add boshu2/agentops --skill interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interview, .gemini/skills/interview, .github/skills/interview and .opencode/skills/interview in your project.

What does Interview need to run?

SKILL.md names no scripts, command-line tools or credentials: Interview is instructions for the agent only.

Does Interview access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Interview safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Interview use?

Interview is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Interview use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Interview?

Skills that share tags, products or a category with Interview: Interview (codewhale-hq/Codewhale, 41k stars), Interview Me (addyosmani/agent-skills, 103k stars), Interview Question Bank (mohitagw15856/pm-claude-skills, 1.4k stars) and Interview (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview?

boshu2 (a GitHub user) maintains it in boshu2/agentops, which has 447 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.

Source: boshu2/agentops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.