crossreview

crossreview is a skill for Codex from coddy-project/coddy-agent. It costs 204 tokens per session (3,372 once invoked), scanned A, original, MIT.

A code-review workflow that asks several coding agents or human reviewers to inspect the same changes, then combines their findings into one result. It also checks whether reviewer configuration is trusted before using it.

In plain words
What is it for?
Use it to review code with multiple installed tools, choose reviewers and models, and merge their feedback into a single verdict.
Why use it?
It reduces the chance that one reviewer misses a problem and avoids running unapproved commands from workspace configuration. A quorum review means decisions are based on several reviewers rather than one.

Skill for Codex

Written for Codex: reads $CODEX_HOME. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Good fit Use it to review code with multiple installed tools, choose reviewers and models, and merge their feedback into a single verdict.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coddy-project/coddy-agent/crossreview
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 coddy-project/coddy-agent --skill crossreview
Clone the repo
git clone --depth 1 https://github.com/coddy-project/coddy-agent

Made for: 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 crossreview

README.md
[![agentmods](https://agentmods.dev/badge/skills/coddy-project/coddy-agent/crossreview/github.svg)](https://agentmods.dev/skills/coddy-project/coddy-agent/crossreview)
Your own site
<a href="https://agentmods.dev/skills/coddy-project/coddy-agent/crossreview"><img src="https://agentmods.dev/badge/skills/coddy-project/coddy-agent/crossreview/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 crossreview

Your own site · 80×15
<a href="https://agentmods.dev/skills/coddy-project/coddy-agent/crossreview"><img src="https://agentmods.dev/badge/skills/coddy-project/coddy-agent/crossreview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 204 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,372 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.
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 $0.00204 $0.03372
Opus 5.5 $0.00082 $0.01349
Sonnet 5.5 $0.00041 $0.00674
Haiku 4.5 $0.00020 $0.00337

Measured 13d ago against content hash c8c0f98723cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crossreview 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 13d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/crossreview.py, scripts/detect-agents.ps1, scripts/detect-agents.sh), 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.

internal/skills/bundled/crossreview/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crossreview: independent reviewers, one orchestrator

One brief is written, every reviewer gets that brief and nothing else, they all answer, and then the orchestrator alone decides: which findings are real, which matter, what to fix now and what not to fix. The reviewers advise; the last word is the orchestrator's: the subagent you hand the run to in step 3, or you. Their value is in the disagreement of different models, so pick reviewers from different vendors.

Three rules hold for the whole run:

  1. Reviewers are blind to each other. A reviewer never sees another reviewer's answer: not in its brief, not in a later round, not as a summary. Internal reviewers (your own subagents) included.
  2. Every reviewer gets to answer. Wait until each one has answered or ended (failed, timed out). Retry the ones that failed for a passing reason before you write the report. Stop one early only when the user says so.
  3. You decide, not the majority. One reviewer with evidence outweighs four without it. Your verdict may differ from every reviewer's.

<skill> below is the directory holding this SKILL.md; agents usually say where it is when they load a skill (Claude Code's "Base directory", Coddy's "Skill directory"). If yours did not, take the first of these that holds scripts/crossreview.py, and do not search the whole disk: ${CODDY_HOME:-~/.coddy}/skills/crossreview, then crossreview under ~/.claude/skills, ~/.codex/skills, ~/.cursor/skills, ~/.agents/skills, ~/.config/opencode/skills, ~/.config/devin/skills, and under the workspace's .claude/skills, .agents/skills, .cursor/skills, .opencode/skills, .coddy/skills.

The helper is python3 <skill>/scripts/crossreview.py (py -3 or python on Windows), standard library only, the same on Linux, macOS and Windows; every subcommand has --help. Without Python, see the last section.

Who you are. Every helper command that reads or writes a roster takes --host <you>: claude (Claude Code), codex, coddy, cursor, opencode, devin, gemini, qwen, kimi, or your own name. The rosters are yours, kept where you keep your settings: the global one in your home folder (~/.claude/crossreview.json, ${CODDY_HOME:-~/.coddy}/crossreview.json, ${CODEX_HOME:-~/.codex}/..., ~/.cursor/...), the local one in your folder of the project (.claude/crossreview.json, .coddy/..., .codex/..., .cursor/...). An agent not on the list uses ~/.agents and .agents. Claude Code is recognised without the flag.

Requirements. A shell and permission to write files: in a read-only mode (plan, ask) say so and stop. Reviewers call their model APIs and write their own session files, so a sandbox that blocks the network or writes outside the workspace (Codex's default) has to let the helper's commands out, or every reviewer fails.

Never recurse. If CROSSREVIEW_DEPTH is set in your environment, you are a reviewer: answer the brief directly and do not start another crossreview.

Read the full file on GitHub · 218 lines

Files

What ships with it

9 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. 13d ago Changed · +136 lines · +118 tokens per session c8c0f98723cb
  2. 15d ago First seen · 82 lines · 86 tokens per session scan A 3552816d74df

Subscribe to this mod's changes

crossreview is a skill published in the GitHub repository coddy-project/coddy-agent (175 stars, last pushed today), licensed MIT. It adds 204 tokens to every session and 3,372 once invoked, about $0.0008 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 2026-10-01.

Related

Other skills, from other repositories

python-repl

Interactive Python REPL automation with common helpers and best practices.

gptme/gptme · 15 tokens

hypotheses

Turns a research direction into testable hypotheses with predictions, competing explanations and the experiments that discriminate between them, including the design (controls, randomization, blocking), sample size or seed count, the pre-specified analysis, and the result that would falsify each hypothesis. Use when a…

synthetic-sciences/openscience · 99 tokens

crit

Review code changes, a plan, a live page (running dev server), or a local HTML file with Crit inline comments and structured human feedback. Use only when the user explicitly invokes /crit or directly asks to use Crit; a generic review request does not count.

tomasz-tomczyk/crit · 55 tokens

crit-story

Author a crit story and continue the interactive review loop only when the user explicitly invokes crit-story or directly asks you to generate a crit story. Do not infer this skill from generic review, PR, or diff-review requests.

tomasz-tomczyk/crit · 47 tokens

kanban-tasks

A task-board workflow for breaking work into cards and moving them through stages such as inbox, ready, doing, review, and done. It also includes a background service and a web interface for the board.

jin-bo/agentao · 221 tokens

ocr

OCR image files using the Qwen VL model via the bundled scripts/ocr.py (lives in this skill's directory, NOT your cwd). Use when the user asks to extract text from an image, perform OCR on a photo or screenshot, or recognize characters in an image file (.jpg, .jpeg, .png, .gif, .webp). Requires QWENAPIKEY and…

jin-bo/agentao · 99 tokens