Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. 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/1cFE/fusion-tea/main/.agents/skills/review-model/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/review-model)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/review-model"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/review-model/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/1cfe/fusion-tea/review-model"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/review-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00018 | $0.00646 |
| Opus 5.5 | $0.00007 | $0.00258 |
| Sonnet 5.5 | $0.00004 | $0.00129 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade A, and why
review-model 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 24d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Review Model
Use the assigned scope and “Review Brief and Context Limits” in modeling_project/MODELING_PROCESS.md. For a focused question, read only the supplied entry sections and primary evidence within the brief’s budget; return missing evidence before expanding. Apply the broader checks below only to claims in scope. Save a short finding in the existing work record or requested evidence path; a separate report is useful for a substantive assessment.
Independently challenge a design where an architectural or integration risk warrants it. Read the relevant requirements, design, and primary evidence within the assigned scope; a substantive review can use work/active/{WI-XXX}_{name}/review.md.
Run this critique when requested or triggered by the canonical process. Use a fresh non-author context without inherited author conversation. One reviewer owns the assessment and may consult a specialist for a concrete uncertainty.
Examine the Design's Meaning
Start with the intended outcome and supported use, then inspect the proposed design. Focus on consequential questions:
- Do the physical structure, operating assumptions, and analysis describe the same system?
- Are relevant quantities and interfaces owned consistently, including downstream effects?
- Do the cited sources and chosen approximations support the intended use?
- Would the proposed checks expose the likely failure, or only confirm the author's chosen representation?
- Do calculations and bindings evaluate the supplied design rather than choose it? Where the design-choice row of the technical-pattern table in
modeling_project/MODELING_PROCESS.mdapplies, check the actual bindings againstdesign-choices.md.
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.
- 24d ago Changed · -6 lines fe2c6210c5e0
- 1mo ago First seen · 56 lines · 18 tokens per session scan A 6df99f846680
review-model is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 18 tokens to every session and 646 once invoked, about $0.0001 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 2026-09-29.
review-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-model1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 18 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |