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Create or maintain a source-grounded kpopper knowledge model as a versioned plugin.

Skill by ilanbm

IndexedMIT★ 12
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ilanbm-model

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Create or maintain a source-grounded kpopper knowledge model as a versioned plugin. Use when a reusable domain model should ship independently of any one project.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/model

What's inside

Skill name
model
Description
Create or maintain a source-grounded kpopper knowledge model as a versioned plugin. Use when a reusable domain model should ship independently of any one project.
License
MIT
Instructions
15 lines in SKILL.md · view on GitHub

Files (3)

  • SKILL.md
  • openai.yaml · agents/
  • authoring.md · references/

SKILL.md (first lines)

# Create a model plugin

Use this skill for a reusable, source-backed model that people should install and query across projects. An ordinary project record, a one-off answer, or a case adapter alone is a different task.

The generated plugin and packaging workflow are currently qualified for local Codex on macOS ARM64. This skill's presence in another host does not establish support there. The companion is an unreleased source candidate; use a maintainer-supplied qualified prebuilt toolchain.

Read the [authoring guide](../../docs/model-plugins.md#create-your-own-model). The [complete example](../../docs/model-plugins.md#try-the-complete-example) is a separate packaging walkthrough; do not copy its record or history over a model you have authored. Define the scope, source closure, unknowns, independently expected questions and plugin descriptor before packaging.

Author records with the native kpop commands. Do not hand-edit generated GROUNDING.yaml or history. Preserve a person's case in a disposable workspace, never in the reusable model. Use the release-qualified prebuilt kpop-model build tool and bundled engine when they are available; model authors should not compile Rust or install another language runtime. If either artifact is missing, save the authored model and report the missing packaging prerequisite.

Before native authoring, set `XDG_CACHE_HOME` to a private writable directory outside the model, within the task's existing allowed paths. The engine needs its runtime cache even with `--no-cache`; do not rely on a writable home directory or broaden host permissions. Keep this transient cache out of the committed model and package.

A read model needs only the standard native reader. Recorded rules run through the native engine too. A domain application that adds case-specific input binding or output projection must supply a separately tested native adapter and maintainer-owned build. Keep that obligation separate from model authoring.

From ilanbm/kpopper, MIT.

More from ilanbm/kpopper

Signals

Stars
12
Forks
0
Open issues
16
Last commit (this folder)
Oct 8, 2026 (23 days ago)
Last release
Oct 19, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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model skill. Agent Mart. https://agentmart.dev/skills/ilanbm-model (last updated 2026-10-24)