dream-review skillA
dream-review is agent-read markdown (skill) from cq27-dev/rag-rat: Use when asked to review, triage, or resolve rag-rat "dream" findings — the memory-maintenance worklist the `dream` tool produces. Walks the open findings and, per kind, either fixes the underlying memory / coverage gap (which resolves the finding at the root) or records an accept / dismiss verdict with `dream_review`. Triggers: "dream review", "resolve dream findings", "triage the dream worklist", "go through pending dream findings"..
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
# dream-review — triage and resolve the rag-rat dream worklist The **`dream`** tool surfaces findings **about** the repo's memories and load-bearing code. It never mutates a memory — the deterministic passes and the optional model **propose**; a reviewer **decides**. This skill is that reviewer loop: for each open finding, investigate with the rag-rat MCP tools, then resolve it — preferring a **root fix** (repair the memory / close the coverage gap, so the finding resolves on its own next run) over a bare verdict. Drive the whole loop through the **rag-rat MCP tools** — `dream` and `dream_review` for the worklist, and `semantic_search` / `symbol_lookup` / `impact_surface` / `find_callers` / `history_for` / `memory_search` / `read_chunk` to investigate — not `grep`, and not the `rag-rat` CLI (an agent has the MCP but may not have the binary on PATH). It is a batch chore meant to run a few times a day, not continuously. `dream` and `dream_review` are in the MCP server's **`admin` toolset**, which is not listed by default. If they are not among your tools, tell the user to add `[mcp] toolsets = ["admin"]` to the …
Read the whole file at its exact version.
How to install
mdr add cq27-dev/rag-rat/dream-review@git:20260923.d7898eamdr add cq27-dev/rag-rat/dream-review@sha256:844152e69eb7f84cPin 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.
[](https://markdownregistry.com/a/art_fzlxjgcfzmzmbtto)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260923.d7898ea latest | 2026-09-23 | d7898ea | 7,951 B | A | view · diff |
| git:20260923.4596f50 | 2026-09-23 | 4596f50 | 7,858 B | A | view · diff |
| git:20260923.180372d | 2026-09-23 | 180372d | 7,880 B | A | view · diff |
| git:20260709.1af500d | 2026-07-09 | 1af500d | 7,584 B | A | view · diff |
| git:20260705.e5bc142 | 2026-07-05 | e5bc142 | 6,801 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7951 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
cq27-dev/rag-rat · 20 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fzlxjgcfzmzmbtto GET https://markdownregistry.com/api/v1/resolve?ref=cq27-dev/rag-rat/dream-review GET https://markdownregistry.com/api/v1/blob/844152e69eb7f84ca53d77c88ab57e6a49a5bc7ce0c2cae88092c58006c7c1a2
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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