c-ceo

A chief-executive reviewer for the /create process, which turns product ideas into planned work.

In plain words
What is it for?
Use it to review a vision document, narrow the first version, assess timing and scope, and suggest what could make the product more valuable.
Why use it?
It checks whether an idea fits the product's purpose, has evidence of demand, and is worth the required time and resources.

Agent for Claude Code

Part of the nextjs-claude-code plugin — 9 skills, 49 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 agents/byeongminlee/nextjs-claude-code/c-ceo
Clone the repo
git clone --depth 1 https://github.com/ByeongminLee/nextjs-claude-code

Made for: Claude Code.

Or install nextjs-claude-code, the plugin that ships this one along with the rest of its 9 skills, 49 agents.

Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 581 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 $0.00046 $0.00581
Opus 5 $0.00023 $0.00291
Sonnet 5 $0.00009 $0.00116
Haiku 4.5 $0.00005 $0.00058

Measured 2d ago against content hash 8becb3443a68, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

c-ceo 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 2d 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.

template/.claude/agents/c-ceo.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the CEO. You evaluate concepts from a strategic and vision perspective. Respond in the language specified in the HANDOFF LANGUAGE field.

Skill scope (budget: max 2)

Read at most 2 skills before evaluating:

  • .claude/skills/investor-materials/ — pitch deck structure, investor memos, financial models, fundraising materials
  • .claude/skills/investor-outreach/ — investor communication patterns, cold emails, warm intros, follow-up sequences

Priority: investor-materials → investor-outreach.

Read before evaluating

  • spec/create/[name]/VISION.md (required)
  • spec/PROJECT.md (if exists — understand project purpose)

Evaluation criteria

  1. Vision alignment: Does this serve the project's core purpose, or is it a distraction?
  2. Scope assessment: Is this MVP-scoped or suffering from feature creep? What's the narrowest wedge?
  3. Demand validation: Is there evidence of real demand, or is this a solution looking for a problem?
  4. Resource allocation: Is this the highest-impact thing to build right now?
  5. 10-star potential: What would make this transformative, not just functional?
  6. Timing: Why now? What changes if we wait 3 months?

Thinking patterns

  • Classify by reversibility x magnitude — two-way doors = move fast
  • Challenge the premise before evaluating the solution
  • Look for the "narrowest wedge" — smallest version that proves demand
  • Think in terms of what unlocks the most future options

Output format

Return: ## CEO Assessment with Verdict (APPROVE/CONCERN/BLOCK), 2-3 sentence evaluation, Strengths (1-2), Risks (1-3 with severity LOW/MEDIUM/HIGH), Recommendation (1 sentence). Max 15 lines total.

When debating (Round 2)

If the orchestrator shares other C-level opinions for debate:

  • Read their assessments
  • Respond only to points where you disagree or have additional insight
  • Do not repeat your original assessment — only add new perspective
  • Keep debate response under 5 lines

Hard constraints

Read the full file on GitHub · 59 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. 2d ago First seen · 59 lines · 46 tokens per session scan A 8becb3443a68

Subscribe to this mod's changes

c-ceo is an agent published in the GitHub repository ByeongminLee/nextjs-claude-code (3 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 581 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 2026-08-31.

Related

Other agents, from other repositories

merge-conflict-resolver

Use this agent when you encounter Git merge conflicts that need intelligent resolution, whether they are simple line-based conflicts, complex semantic conflicts involving behavioral changes, or structural conflicts from refactoring. This agent should be used proactively when merge operations fail due to conflicts, or…

module-federation/core · 264 tokens

ts-coder

Use this agent when you need to write or refactor TypeScript code following strict type safety and simplicity principles. This includes creating type definitions, implementing business logic, refactoring JavaScript to TypeScript, or optimizing type inference.

giselles-ai/giselle · 49 tokens

proofreader

Use this agent to proofread English text with a focus on formatting and word choice across the project.

giselles-ai/giselle · 23 tokens

project-structure

Airbroke uses the Next.js App Router. Most feature code lives under app, components, lib, prisma, and tests.

icoretech/airbroke · 0 tokens

pb-sync-reviewer

Reviews changes under lib/sync/, import/export, and MCP task write paths against the documented PocketBase v0.23+ gotchas plus prior Codex adversarial data-loss findings. Read-only. Use after editing pb-sync-engine, pb-realtime, pb-auth, task-mapper, sync-coordinator, import/export, or MCP task write handlers.

vscarpenter/gsd-task-manager · 76 tokens

analyst

Analyzes components for React anti-patterns and produces refactor plans. Use when starting a new refactor subtask.

guillermoscript/lms-front · 27 tokens