Home / plastic-labs / claude-honcho · plugins/honcho/skills/interview/SKILL.md · GitHub

interview skillB

interview is agent-read markdown (skill) from plastic-labs/claude-honcho: Interview the user to capture stable, cross-project preferences and save them to Honcho.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Honcho Interview

Kick off a short interview to learn stable, cross-project aspects of the user and store them in Honcho memory.

## Guardrails

- Focus on global traits that are unlikely to change between projects.
- Avoid project-specific topics, credentials, addresses, or other sensitive information.
- Ask one question at a time and wait for the answer before proceeding.
- If an answer is vague, ask one brief clarification before saving a conclusion.
- If the user declines to answer, skip that topic and move on.
- Use existing knowledge to avoid repeating questions the memory already covers.

## Pre-Interview Context (Required)

Before asking any questions, use the `chat` tool to get a maximally thorough overview of what is already known about the user. Present a concise summary to the user, then tailor the interview to fill gaps or confirm uncertain areas.

Example tool call format:

```
chat({ "query": "Give a maximally thorough overview of what you already know about this user, focusing on stable preferences and cross-project traits. Include any uncertainties or gaps." })
```

## Interview Flow (Medium Depth)
…

Read the whole file at its exact version.

How to install

Latest version
mdr add plastic-labs/claude-honcho/interview@git:20260203.ab2f56f
Exact content
mdr add plastic-labs/claude-honcho/interview@sha256:c7997ccf73d38f97

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rmp5tzandiccj6rg.svg)](https://markdownregistry.com/a/art_rmp5tzandiccj6rg)

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Versions

versioncommittedcommitsizeaudit
git:20260203.ab2f56f latest2026-02-03 ab2f56f 2,745 BB view

Audit of the latest version

B  16 of 17 checks passed. Deterministic, no model, same answer every run.
  • fail: Frontmatter declares a name
  • pass: Frontmatter block present
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2745 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

plastic-labs/claude-honcho · 63 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rmp5tzandiccj6rg
GET https://markdownregistry.com/api/v1/resolve?ref=plastic-labs/claude-honcho/interview
GET https://markdownregistry.com/api/v1/blob/c7997ccf73d38f97ecc95a895933eaccf78a5fbcdc97fbf3b340c25e9ed0d0ae

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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