ciel-review-and-adversarial

ciel-review-and-adversarial is a skill for Claude Code, Codex from jxoesneon/Ciel. It costs 28 tokens per session (470 once invoked), scanned A, original, Apache-2.0.

A structured method for reviewing code by actively looking for bugs, security weaknesses, design problems, and unsupported assumptions.

In plain words
What is it for?
It helps reviewers assess correctness, security, performance, maintainability, and architecture, then decide whether to approve, request changes, or reject a change.
Why use it?
It reduces the risk of approving changes that look acceptable but contain hidden failures or security issues.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps reviewers assess correctness, security, performance, maintainability, and architecture, then decide whether to approve, request changes, or reject a change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jxoesneon/ciel/ciel-review-and-adversarial
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 jxoesneon/Ciel --skill ciel-review-and-adversarial
Clone the repo
git clone --depth 1 https://github.com/jxoesneon/Ciel

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 ciel-review-and-adversarial

README.md
[![agentmods](https://agentmods.dev/badge/skills/jxoesneon/ciel/ciel-review-and-adversarial/github.svg)](https://agentmods.dev/skills/jxoesneon/ciel/ciel-review-and-adversarial)
Your own site
<a href="https://agentmods.dev/skills/jxoesneon/ciel/ciel-review-and-adversarial"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/ciel-review-and-adversarial/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 ciel-review-and-adversarial

Your own site · 80×15
<a href="https://agentmods.dev/skills/jxoesneon/ciel/ciel-review-and-adversarial"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/ciel-review-and-adversarial.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 470 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 $0.00028 $0.00470
Opus 5 $0.00014 $0.00235
Sonnet 5 $0.00006 $0.00094
Haiku 4.5 $0.00003 $0.00047

Measured 8d ago against content hash bbb027739779, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ciel-review-and-adversarial 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 8d 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.

skills/ciel-review-and-adversarial/SKILL.md · 53 lines

What it actually says

CIEL ADAPTATION: Review and Adversarial (The Challenger)

This skill mandates adversarial thinking during code review. It refuses to rubber-stamp changes and actively hunts for flaws.

Review Protocol

  1. Understand: Grasp the intent of the change before critiquing it.
  2. Hunt: Actively search for bugs, security issues, and design flaws.
  3. Question: Challenge assumptions. Ask "what if this fails?"
  4. Verify: Confirm all claims with evidence (tests, logs, documentation).
  5. Judge: Render a verdict — Approve, Request Changes, or Reject.

Review Dimensions

  • Correctness: Does the code do what it claims?
  • Security: Are there injection risks, auth bypasses, or data leaks?
  • Performance: Are there N+1 queries, O(n^2) algorithms, or memory leaks?
  • Maintainability: Is it readable, tested, and documented?
  • Architecture: Does it align with existing patterns?

Anti-Patterns

  • The LGTM: Approve without reading.
  • The Nitpick: Focus on style while missing logic bugs.
  • The Friendly Fire: Reject without explaining why.
  • The Scope Creep: Request unrelated changes in the same review.

Council Invocation

High-risk changes MUST invoke the Council of Five before approval.

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. 8d ago First seen · 53 lines · 28 tokens per session scan A bbb027739779

Subscribe to this mod's changes

ciel-review-and-adversarial is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 5d ago), licensed Apache-2.0. It adds 28 tokens to every session and 470 once invoked, about $0.0001 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 2026-09-03.