keep-why-interview

keep-why-interview is a skill for Claude Code, Codex from OutlineDriven/odin-claude-plugin. It costs 35 tokens per session (1,111 once invoked), scanned A, original, Apache-2.0.

A narration-led interview process for turning a departing maintainer's knowledge into project topic-file entries.

In plain words
What is it for?
Use it to interview a maintainer or expert about a defined topic and record answered gaps or clearly marked open questions.
Why use it?
It preserves decisions and unwritten project knowledge when a maintainer leaves or becomes unavailable, without copying private conversation verbatim.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the odin-knowledge plugin — 23 skills shipped together

Good fit Use it to interview a maintainer or expert about a defined topic and record answered gaps or clearly marked open questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-claude-plugin/keep-why-interview
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.

Any agent
npx skills add OutlineDriven/odin-claude-plugin --skill keep-why-interview
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-claude-plugin

Made for: Claude Code, Codex.

Or install odin-knowledge, the plugin that ships this one along with the rest of its 23 skills.

Wrote 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.

agentmods badge for keep-why-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/keep-why-interview/github.svg)](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/keep-why-interview)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/keep-why-interview"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/keep-why-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.

agentmods 80×15 button for keep-why-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/keep-why-interview"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/keep-why-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,111 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00035 $0.01111
Opus 5.5 $0.00014 $0.00444
Sonnet 5.5 $0.00007 $0.00222
Haiku 4.5 $0.00003 $0.00111

Measured 1mo ago against content hash 3059c9ac9b81, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

keep-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 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.

plugins/odin-knowledge/skills/keep-why-interview/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Keep why interview

Contract

Field Bound contract
Trigger Maintainer knowledge is about to become unavailable (leaving, retiring, team change) or user requests a knowledge-transfer interview.
Authority Reversible local: writes only synthesized topic-file entries; rollback is version control. No remote mutation. No session narrative, no personal details, no verbatim transcription of raw material.
Side effect Synthesized topic-file entries written to local project knowledge file(s) with Source = interview; entries are self-contained without private context.
Done All code-unexplainable gaps either answered or explicitly marked OPEN; tacit-knowledge subjects get narration-first flow; entries self-contained without private context; no invented rationale.

Inputs

  • Required: A human subject (departing maintainer or domain expert), a location for topic-file entries (project memory/knowledge file or directory), and the interview's topic scope.
  • Optional: Existing topic file(s) to append to or extend.
  • Required: The interview must be a live conversation; the model leads the conversation and captures synthesized knowledge in real time.

Procedure

  1. Open the interview. Explain the purpose: capture tacit knowledge and decision rationale for future maintainers. Confirm the scope and topic boundaries with the human subject. Done when: scope and topic boundaries are confirmed by the subject.

  2. Phase 1: Narration-first elicitation. Ask open-ended questions that surface why rather than what:

    • What decisions are you most concerned will not survive your departure?
    • What have you chosen not to do, and why?
    • What patterns, shortcuts, or assumptions exist that are not obvious from the code?
    • What would you do differently if you were starting today? Let the subject narrate before moving to specifics. Do not accept implementation details as answers to why questions. Done when: the subject has narrated across the scope and why-questions are answered or gaps are identified for Phase 2.

Read the full file on GitHub · 79 lines

Files

What ships with it

1 file 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.

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. 1mo ago First seen · 79 lines · 35 tokens per session scan A 3059c9ac9b81

Subscribe to this mod's changes

keep-why-interview is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (39 stars, last pushed 25d ago), licensed Apache-2.0. It adds 35 tokens to every session and 1,111 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens