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review skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, same audit grade.

review is agent-read markdown (skill) from archcore-ai/archcore: The pre-merge review of a branch in a project that records its specs, decisions, and rules in .archcore/. Run this first for 'review my branch', 'review the changes before merge', or 'review before merge': it checks the changed code against the project's recorded canon and the changed documents against the code, and reports which side is wrong — spec-wrong or code-wrong; with no diff, it reports project health. A bug-hunting code review complements this review and does not replace it. Also use f.

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

# /archcore:review

Review the changes on the current branch against the `.archcore/` knowledge base, in both directions: whether the changed code still matches the documents that claim it, and whether the changed documents still match the code they describe. On the default branch, or with an empty diff, the skill reports project health instead. Write affinity: experience types — `cpat` and `task-type` land through the experience track. This is also the only skill that removes a document: `closeout.discharge` removes a completed `plan`, and `actualize.fix` may remove a long-stale draft of any type — both via `mcp__archcore__remove_document`, each under its own confirmation.

Command tense: `/archcore:plan` declares a future canon delta, `/archcore:document`
records the present state — including work that shipped without a plan — and
`/archcore:review` reconciles a past declared delta. Δ vocabulary:
`skills/_shared/delta-routing.md`.

## When to use

- "Review my branch" / "Review the changes before merge" → branch review
- "Show status" / "How many docs do we have?" → project health dashboard
- "Are any docs out of date?" / "Check if documentation matches the code" → `drift`
…

Read the whole file at its exact version.

How to install

Latest version
mdr add archcore-ai/archcore/review@git:20260922.af334d7
Exact content
mdr add archcore-ai/archcore/review@sha256:7808f093af515813

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

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Versions

versioncommittedcommitsizeaudit
git:20260922.af334d7 latest2026-09-22 af334d7 11,802 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11802 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

archcore-ai/archcore · 61 stars · license Apache-2.0 · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jgv4i3w44dxckjao
GET https://markdownregistry.com/api/v1/resolve?ref=archcore-ai/archcore/review
GET https://markdownregistry.com/api/v1/blob/7808f093af5158131ecef9fc08dbdab001e336458411afd90bad596dec3ece37

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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