cross-model-review

cross-model-review is a skill for Claude Code, Codex from hyperb1iss/hyperskills. It costs 73 tokens per session (2,070 once invoked), scanned A, original, MIT.

A process in which one AI model reviews code, facts, or a diagnosis produced by another AI model.

In plain words
What is it for?
It helps run cross-model code reviews, fact checks, diagnosis checks, and design consultations between Claude, Codex, or other model tools.
Why use it?
A second model can expose blind spots that self-review may miss, while the process also checks the tools and direction used for the review.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also runs codex exec. Also seen: mentions Codex.

Part of the hyperskills plugin — 13 skills shipped together

Good fit It helps run cross-model code reviews, fact checks, diagnosis checks, and design consultations between Claude, Codex, or other model tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hyperb1iss/hyperskills/cross-model-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hyperb1iss/hyperskills --skill cross-model-review
Clone the repo
git clone --depth 1 https://github.com/hyperb1iss/hyperskills

Made for: Claude Code, Codex.

Or install hyperskills, the plugin that ships this one along with the rest of its 13 skills.

Wrote 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.

agentmods badge for cross-model-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/hyperb1iss/hyperskills/cross-model-review/github.svg)](https://agentmods.dev/skills/hyperb1iss/hyperskills/cross-model-review)
Your own site
<a href="https://agentmods.dev/skills/hyperb1iss/hyperskills/cross-model-review"><img src="https://agentmods.dev/badge/skills/hyperb1iss/hyperskills/cross-model-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.

agentmods 80×15 button for cross-model-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/hyperb1iss/hyperskills/cross-model-review"><img src="https://agentmods.dev/badge/skills/hyperb1iss/hyperskills/cross-model-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 12
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 86
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.02070
Opus 5 $0.00036 $0.01035
Sonnet 5 $0.00015 $0.00414
Haiku 4.5 $0.00007 $0.00207

Measured 3d ago against content hash cebe1471a144, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cross-model-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 3d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/review_status.py, scripts/run_claude_review.py, tests/test_observable_review.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/cross-model-review/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-Model Review

Use a fresh reviewer to challenge an artifact against the original request. A different model family can add useful diversity, but agreement is not proof. Preserve the user's configured model and effort unless the user explicitly requests a change. Skill guidance does not override the task's scope, existing authorization, or host permissions.

Choose the Review Surface

Situation Route
Claude author, Codex available Scoped codex review, or codex exec for custom questions
Codex author, Claude available claude -p with a bounded brief and restricted tool access
Pi with the xreview extension Use its installed /xreview interface after checking its scope semantics
Native reviewer with a different model family Use the exposed delegation tool when authorized; inspect its actual schema
Different family unavailable Fresh-context review can still help; disclose that it provides context independence only

Run the chosen CLI's --version and relevant --help before relying on flags. Tool names, wait limits, permissions, and model availability belong to the current host. An external CLI is still delegation; it does not bypass a host prohibition.

For CLI details and a copyable launcher, read references/cli-flags.md. Use references/prompts.md for the requested review mode. Load references/failure-recovery.md only when a launch fails or stalls.

Freeze a Reviewable Artifact

Capture the original request, repository path, review base, head SHA, and owned file list. For working-tree review, include staged, unstaged, and relevant untracked files. A SHA alone does not describe uncommitted work; retain the diff and file contents or a content digest. Keep unrelated work outside the packet.

Read the full file on GitHub · 117 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago Changed · -326 lines · -68 tokens per session scan B → A cebe1471a144
  2. 9d ago First seen · 443 lines · 141 tokens per session scan B 79712a4d36d5

Subscribe to this mod's changes

cross-model-review is a skill published in the GitHub repository hyperb1iss/hyperskills (32 stars, last pushed 3d ago), licensed MIT. It adds 73 tokens to every session and 2,070 once invoked, about $0.0004 per session on Opus 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.

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