Borrowing it
Nothing to install: this file belongs to cq27-dev/rag-rat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cq27-dev/rag-rat/main/.agents/skills/dream-review/SKILL.mdgit clone --depth 1 https://github.com/cq27-dev/rag-ratWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cq27-dev/rag-rat/dream-review)<a href="https://agentmods.dev/skills/cq27-dev/rag-rat/dream-review"><img src="https://agentmods.dev/badge/skills/cq27-dev/rag-rat/dream-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cq27-dev/rag-rat/dream-review"><img src="https://agentmods.dev/badge/skills/cq27-dev/rag-rat/dream-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00101 | $0.02479 |
| Opus 5.5 | $0.00040 | $0.00992 |
| Sonnet 5.5 | $0.00020 | $0.00496 |
| Haiku 4.5 | $0.00010 | $0.00248 |
Grade A, and why
dream-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
repo's rag-rat.toml and reconnect the rag-rat MCP server (in Claude Code: /mcp), then continue.
1. Preflight
- Confirm the index is fresh: call
index_status. If it reports drift, callheal_indexto repair already-indexed files. (Discovering brand-new files and re-embedding is a CLI/cron job —rag-rat index --discoverthenrag-rat reconcile— outside this MCP loop; if findings look empty, that's the thing to ask a human to run.) - The
dreamtool is deterministic-only. It recomputescoverage_gap+stale_referenceon every call and surfaces anymemory_divergence/memory_unverifiablefindings a prior model run persisted — but it does not run the model itself. Generating fresh model findings is the CLI/cronrag-rat dream --verify --compactpass (it provisions a GPU and takes minutes, so it never runs from a tool call). If the divergence findings look stale, that CLI pass is what refreshes them.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +13 lines ee2e7db2343d
- 1mo ago Changed · +12 lines 86380a272ffc
- 1mo ago Changed · +4 lines 844152e69eb7
- 2mo ago First seen · 127 lines · 101 tokens per session scan A 1e53ebea18aa
dream-review is a skill published in the GitHub repository cq27-dev/rag-rat (26 stars, last pushed 28d ago), licensed MIT. It adds 101 tokens to every session and 2,479 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
dream-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dream-reviewcq27-dev/rag-rat | Skill | 26 | 28d ago | MIT | A | 101 | Claude Code, Codex |
| doctorkalinbogatzevski/captain-memo | Skill | 5 | 11d ago | Apache-2.0 | A | 52 | Claude Code |
| misakanet-failure-memoryIkalus1988/MisakaNet | Skill | 554 | yesterday | Apache-2.0 | A | 31 | Claude Code |
| memorywhalewuisabel-gif/MemWhale | Skill | 146 | 2d ago | MIT | A | 79 | Claude Code, Codex |
| cortex-debug-memorycdeust/Cortex | Skill | 76 | today | MIT | A | 87 | Claude Code |
| memorywhale-evidencewuisabel-gif/MemWhale | Skill | 146 | 2d ago | MIT | A | 27 | Claude Code, Codex |
| memorywhale-debuggingwuisabel-gif/MemWhale | Skill | 146 | 2d ago | MIT | A | 17 | Claude Code, Codex |