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Harness Ci

Organization
vanillagreencom
harness-ci

Load to wire, tune, or debug a repo's harness-only skip.

Overview

Publishervanillagreencom
Repositorykendex
Skill nameharness-ci
Stars
80
Forks
31
Bundled files
11
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vanillagreencom on GitHub. Read the source before you install it.

Installation

Install the Harness Ci AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vanillagreencom/kendex.git /tmp/kendex
mkdir -p .claude/skills
cp -r /tmp/kendex/skills/harness-ci .claude/skills/harness-ci
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Harness Ci in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Harness Ci on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Harness Ci is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Harness CI

Run the classifier to decide whether CI can skip product checks. Commit .kendex-generated.json with the renders after kendex refresh. The engine writes that inventory from rendered artifacts. In-place content and carrier package source remain outside it.

bash
.agents/skills/harness-ci/scripts/harness-only \
  --event pull_request --base "$BASE_SHA" --head "$HEAD_SHA"

Flags and exit codes: harness-only --help. Consumer setup: README.md. Workflow shapes to copy: references/wiring.md.

This package never edits a workflow

Nothing here writes .github/. Wire the one step yourself, once, from references/wiring.md.

The rules to hold when wiring it

Classify inside a job, never in on.<event>.paths. A path filter stops the workflow from starting, the required context is never created, and a merge queue waits forever on a check nothing will report.

Keep the required-context job unconditional. Gate the expensive lanes with a job-level if: off a changes job's output, or a step-level if: inside an aggregate, and let the aggregate that carries the required name run on every event.

A job-level if: needs a status function. Without one it keeps the implicit success() and skips the lane whenever the classifying job failed, which stands the expensive lanes down on exactly the diffs nothing classified. An aggregate accepts a skipped lane only after checking that the classifier ran and cleared the diff.

A lane reading a path family beside the verdict needs more than the status function. A dead classifying job publishes no outputs, so the family term reads empty and skips the lane on its own. Lift it behind needs.changes.result != 'success', the two-gate shape in references/wiring.md.

A step that installs a tool for an unconditional lane stays unconditional. A harness-only if: on the install, while the lane that runs the tool runs on every event, fails that lane on a harness-only diff. The tool commit-guards needs is commit-guards CHECKS.md § py-names.

Reading a verdict

stdout is the verdict line alone; changed paths and reasons go to stderr; exit 2 is a wiring error that prints no verdict.

Fail-closed

Every unprovable case answers false, which runs every lane (DEVELOPMENT.md § Invariants). --no-renames is fixed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Harness Ci AI skill do?

Load to wire, tune, or debug a repo's harness-only skip.

Why use Harness Ci on TypingMind?

Because you install it once and use it with any model. Harness Ci is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Harness Ci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vanillagreencom/kendex/tree/main/skills/harness-ci. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Harness Ci?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Harness Ci?

As many as you like. As long as a model supports skills, you can use Harness Ci with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Harness Ci AI skill free?

Yes. It is published on GitHub by vanillagreencom under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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