openspec-archive-change SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 4 indexed copies. Same content hash, so the same checks give both the same grade.

openspec-archive-change from yazelin/ching-tech-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add yazelin/ching-tech-os/openspec-archive-change@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

yazelin/ching-tech-os

Path

.claude/skills/openspec-archive-change/SKILL.md

Versions recorded

1

Latest version

v1.0, committed Feb 3, 2026

Size

4,029 bytes

Repository stars

33

License

MIT

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

Archive a completed change in the experimental workflow.

**Input**: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

**Steps**

1. **If no change name provided, prompt for selection**

   Run `openspec list --json` to get available changes. Use the **AskUserQuestion tool** to let the user select.

   Show only active changes (not already archived).
   Include the schema used for each change if available.

   **IMPORTANT**: Do NOT guess or auto-select a change. Always let the user choose.

2. **Check artifact completion status**

   Run `openspec status --change "<name>" --json` to check artifact completion.

   Parse the JSON to understand:
   - `schemaName`: The workflow being used
   - `artifacts`: List of artifacts with their status (`done` or other)

   **If any artifacts are not `done`:**
   - Display warning listing incomplete artifacts
   - Use **AskUserQuestion tool** to confirm user wants to proceed
   - Proceed if user confirms

3. **Check task completion status**

   Read the tasks file (typically `tasks.md`) to check for incomplete tasks.
…

Read the whole file at its exact version.

How to install

mdr add yazelin/ching-tech-os/openspec-archive-change@sha256:a2717ab2b458797c

[![mdr](https://markdownregistry.com/badge/art_a5shj2tckhenfqd3.svg)](https://markdownregistry.com/a/art_a5shj2tckhenfqd3)

Versions

The registry has recorded 1 version of this file, committed on Feb 3, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_a5shj2tckhenfqd3
GET https://markdownregistry.com/api/v1/resolve?ref=yazelin/ching-tech-os/openspec-archive-change
GET https://markdownregistry.com/api/v1/blob/a2717ab2b458797c8a63b4c36d0241e7a1e74ed08a671ec15c5162bf31f64265

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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