interview

A plugin-design interview workflow that fills in only the decisions missing from a user's request.

In plain words
What is it for?
Choosing a safe plugin identifier, describing its router entry, defining workflows and checks, and documenting host capabilities, permissions, state, and limitations.
Why use it?
It turns an incomplete procedure into a defined plugin while preserving the request's intended process and avoiding private information.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agentlas-ai/agentlas-desktop/interview
Any agent
npx skills add agentlas-ai/agentlas-desktop --skill interview
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/agentlas-desktop

Made for: Claude Code, Codex.

Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00175
Opus 5 $0.00007 $0.00088
Sonnet 5 $0.00003 $0.00035
Haiku 4.5 $0.00001 $0.00017

Measured 3d ago against content hash 4cbbae82ab7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

plugins/plugin-make/skills/interview/SKILL.md · 22 lines

What it actually says

Steps

  1. Read the request as the seed and preserve its procedure intent without copying private transcripts, files, credentials, or local paths.
  2. Resolve an immutable lowercase slug, a one-sentence router description, and one or more workflow names.
  3. Confirm the host capabilities, file/network/shell permissions, and whether the plugin keeps state between runs.
  4. Respect the user's interview mode: in off mode, draft from the request and show the result for editing.

Outputs

  • A content-free set of builder answers bound to the current conversation.

Verification

  • The slug is safe and immutable for this draft.
  • Every workflow has ordered steps, outputs, and a verification check.
  • The user-visible limitations say that v1 creates local procedure plugins only.
Changes

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.

  1. 3d ago First seen · 22 lines · 14 tokens per session scan A 4cbbae82ab7e

Subscribe to this mod's changes

interview is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 14 tokens to every session and 175 once invoked, about $0.0001 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 2026-08-31.

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