ccg

ccg is a skill for Claude Code, Codex from naimkatiman/continuous-improvement. It costs 30 tokens per session (685 once invoked), scanned A, original, MIT.

A coordinator that asks Claude, Codex, and Gemini for separate opinions, then combines their answers.

In plain words
What is it for?
It helps review code, consider architecture and user-interface choices, and cross-check solutions using multiple AI perspectives.
Why use it?
It reduces the effort of comparing advice from several AI tools and keeps their outputs as saved artifacts.

Skill for Claude CodeCodex

Part of the oh-my-claudecode plugin — 37 skills, 17 agents shipped together

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.

agentmods
npx agentmods add skills/naimkatiman/continuous-improvement/ccg
Any agent
npx skills add naimkatiman/continuous-improvement --skill ccg
Clone the repo
git clone --depth 1 https://github.com/naimkatiman/continuous-improvement

Made for: Claude Code, Codex.

Or install oh-my-claudecode, the plugin that ships this one along with the rest of its 37 skills, 17 agents.

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 ccg

README.md
[![agentmods](https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/ccg.svg)](https://agentmods.dev/skills/naimkatiman/continuous-improvement/ccg)
Your own site
<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/ccg"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/ccg.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.00685
Opus 5 $0.00015 $0.00342
Sonnet 5 $0.00006 $0.00137
Haiku 4.5 $0.00003 $0.00068

Measured yesterday against content hash 04075eec42dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ccg 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 yesterday.

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.

third-party/oh-my-claudecode/skills/ccg/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CCG - Claude-Codex-Gemini Tri-Model Orchestration

CCG routes through the canonical /ask skill (/ask codex + /ask gemini), then Claude synthesizes both outputs into one answer.

Use this when you want parallel external perspectives without launching tmux team workers.

When to Use

  • Backend/analysis + frontend/UI work in one request
  • Code review from multiple perspectives (architecture + design/UX)
  • Cross-validation where Codex and Gemini may disagree
  • Fast advisor-style parallel input without team runtime orchestration

Requirements

  • Codex CLI: npm install -g @openai/codex (or @openai/codex)
  • Gemini CLI: npm install -g @google/gemini-cli
  • omc ask command available
  • If either CLI is unavailable, continue with whichever provider is available and note the limitation

How It Works

1. Claude decomposes the request into two advisor prompts:
   - Codex prompt (analysis/architecture/backend)
   - Gemini prompt (UX/design/docs/alternatives)

2. Claude runs via CLI (skill nesting not supported):
   - `omc ask codex "<codex prompt>"`
   - `omc ask gemini "<gemini prompt>"`

3. Artifacts are written under `.omc/artifacts/ask/`

4. Claude synthesizes both outputs into one final response

Execution Protocol

When invoked, Claude MUST follow this workflow:

1. Decompose Request

Split the user request into:

  • Codex prompt: architecture, correctness, backend, risks, test strategy
  • Gemini prompt: UX/content clarity, alternatives, edge-case usability, docs polish
  • Synthesis plan: how to reconcile conflicts

2. Invoke advisors via CLI

Note: Skill nesting (invoking a skill from within an active skill) is not supported in Claude Code. Always use the direct CLI path via Bash tool.

Run both advisors:

omc ask codex "<codex prompt>"
omc ask gemini "<gemini prompt>"

3. Collect artifacts

Read latest ask artifacts from:

.omc/artifacts/ask/codex-*.md
.omc/artifacts/ask/gemini-*.md

Read the full file on GitHub · 105 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. yesterday First seen · 105 lines · 30 tokens per session scan A 04075eec42dc

Subscribe to this mod's changes

ccg is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 10d ago), licensed MIT. It adds 30 tokens to every session and 685 once invoked, about $0.0002 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.

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