attune-ai: Skill for Claude Code

.agents/skills/cross-review/SKILL.md

cross-review is a skill for Claude Code, Codex from Smart-AI-Memory/attune-ai. It costs 60 tokens per session (1,716 once invoked), scanned A, original, Apache-2.0.

A one-time review of the current code changes by a different AI model. It records the second opinion for later reference, but does not block merging or change the code.

In plain words
What is it for?
Use it as an advisory pre-merge check when you want another model to inspect the branch or staged changes.
Why use it?
It gives you another view of a real diff, which can reveal issues the authoring model missed before a merge.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is Smart-AI-Memory/attune-ai's own configuration. It tells Claude Code and Codex how to work on attune-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything attune-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/cross-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

Made for: Claude Code, Codex.

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-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/cross-review"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/cross-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,716 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 pass 7 Sept 2026
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 $0.00060 $0.01716
Opus 5.5 $0.00024 $0.00686
Sonnet 5.5 $0.00012 $0.00343
Haiku 4.5 $0.00006 $0.00172

Measured 1mo ago against content hash a678830388cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cross-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.

.agents/skills/cross-review/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross Review

IMPORTANT: Start your response by telling the user:

Cross review — one non-authoring seat reviews the real diff. Advisory only: findings inform you; they never gate anything.

Binding posture (spec requirement, not style)

Board-only ADVISORY. Never wire this skill's output into a merge gate, CI check, exit code, or blocking path — that violates docs/specs/cross-review/requirements.md (Binding posture). Only a chair ruling backed by the spec's dogfood ledger can upgrade it.

What it does

Phase T2 of docs/specs/cross-review/: the moderator (this session) resolves the current branch's diff vs its merge base (default) or the staged diff, briefs ONE non-authoring seat with the ACTUAL diff under an honest truncation manifest, posts the reply to the board, renders findings as advisory items, and appends a dogfood-ledger row. All mechanics live in attune.roundtable.review — do not reimplement them inline.

Steps

  1. Spend gate: state seat + target (one line) and get a go (session-durable, same rule as /roundtable). An existing explicit review request is the go for that seat/target. For an explicitly requested Claude subscription review, use seat="claude", claude_auth="subscription". The launcher checks saved Pro/Max authentication in a child with API credentials removed, disables tools/custom integrations, and refuses ambiguous/API authentication. It does not raise or disable the API spend cap or modify interactive authentication. Subscription entitlement is not an invoice/overage receipt.
  2. Run (module does target resolution, brief, invocation, lint, board post):
MODE="branch" python -c "import os, sys, json, structlog; structlog.configure(logger_factory=structlog.PrintLoggerFactory(file=sys.stderr))
from attune.roundtable import Board; from attune.roundtable.review import run_review; b=None
try:
    b=Board(); b.ensure_functions()
except Exception as e: print(f'board unavailable: {e}', file=sys.stderr)
print(json.dumps(run_review('.', mode=os.environ['MODE'], board=b), ensure_ascii=False))"

Read the full file on GitHub · 145 lines

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. 1mo ago Changed · +20 lines a678830388cd
  2. 1mo ago Changed · +29 lines 692ae0d36cbe
  3. 1mo ago Changed · +18 lines · +2 tokens per session c8244f44eb61
  4. 1mo ago First seen · 78 lines · 58 tokens per session scan A 6b9e29957b53

Subscribe to this mod's changes

cross-review is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 60 tokens to every session and 1,716 once invoked, about $0.0002 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 2026-08-31.