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Artifact Contract Auditor

Community
WILLOSCAR
artifact-contract-auditor

Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill nameartifact-contract-auditor
Stars
513
Forks
39
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Artifact Contract Auditor 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.
    https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/artifact-contract-auditor
  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/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/artifact-contract-auditor .claude/skills/artifact-contract-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Artifact Contract Auditor 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 Artifact Contract Auditor 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 Artifact Contract Auditor 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.

Artifact Contract Auditor

This Skill measures coverage: whether files promised by Units and the locked Pipeline exist at the point they are required. It does not replace the deeper Attempt, Manifest, Artifact-hash, and ledger checks in pipeline.py audit.

Inputs

  • UNITS.csv.
  • PIPELINE.lock.md.
  • The locked pipelines/*.pipeline.md target-Artifact contract.

Outputs

  • output/CONTRACT_REPORT.md.

Steps

1. Resolve the active contracts

Read PIPELINE.lock.md, resolve the Pipeline inside this repository, and parse UNITS.csv. Treat an invalid lock or malformed Unit table as a reportable contract failure rather than guessing another Workflow.

Completion criterion: one Pipeline contract and one readable Unit table are bound to the audit.

2. Check completed Unit outputs

For every DONE Unit, verify each required output exists. Outputs prefixed with ? are optional. A missing required output is Unit-level contract drift even when the Pipeline is still running.

Completion criterion: every DONE Unit is classified as output-complete or is listed with each missing required path.

3. Check final Pipeline targets when applicable

Determine whether all Units are terminal (DONE or SKIP). Only then require every non-optional target Artifact declared by the Pipeline. During a partial Run, report missing final targets as expected rather than failures.

Completion criterion: final-target completeness is evaluated against the actual Run phase, not merely file absence.

4. Write the report

Always write output/CONTRACT_REPORT.md with one status:

  • PASS: terminal Run, complete Unit outputs, complete Pipeline targets.
  • OK: partial Run, consistent completed Unit outputs.
  • FAIL: missing output from a DONE Unit, or missing final target from a terminal Run.

Completion criterion: the report names the evaluated Pipeline, Run phase, status, and every blocking missing path.

5. Route the next action

For missing Unit outputs, reopen or rerun the owning Unit through the Pipeline adapter. For missing final targets, identify the owning Unit or Skill. When file coverage passes, use scripts/pipeline.py audit for provenance integrity.

Completion criterion: every FAIL item has an owner and repair route; a PASS claim is explicitly limited to declared file coverage.

Context Pointers

  • The locked Pipeline front matter is the only source for target Artifacts.
  • UNITS.csv is the only source for Unit output obligations.
  • Use the deep Run Audit for Attempt pairing, Manifest identity, hashes, Decisions, Failures, and Evaluation consistency.

Script

Quick Start

bash
uv run python .codex/skills/artifact-contract-auditor/scripts/run.py \
  --workspace workspaces/<name>

All Options

  • --workspace <path>: Workspace to audit.
  • --unit-id <U###>, --inputs, --outputs, --checkpoint: optional Pipeline-runner compatibility arguments.

Examples

Inspect the interface:

bash
uv run python .codex/skills/artifact-contract-auditor/scripts/run.py --help

Run the deeper provenance audit after coverage passes:

bash
uv run python scripts/pipeline.py audit --workspace workspaces/<name>

Side Effects

The audit may create or replace output/CONTRACT_REPORT.md. It must not edit research content, Unit statuses, checkpoint approvals, or source Artifacts.

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 Artifact Contract Auditor AI skill do?

Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.

Why use Artifact Contract Auditor on TypingMind?

Because you install it once and use it with any model. Artifact Contract Auditor 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 Artifact Contract Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/artifact-contract-auditor. 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 Artifact Contract Auditor?

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 Artifact Contract Auditor?

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

Is the Artifact Contract Auditor AI skill free?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. 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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