plan-ceo-review

plan-ceo-review is a skill for Claude Code, Codex from GCWing/BitFun. It costs 143 tokens per session (18,301 once invoked), scanned A, original, MIT.

A founder-level review of a product plan that questions its assumptions, scope, and expected outcome. It can suggest broader improvements or reduce the plan to essential work.

In plain words
What is it for?
Challenging a product strategy, finding a stronger version of the proposed product, comparing scope options, and deciding what should or should not be included.
Why use it?
It helps reveal when a plan is solving the wrong problem, missing an important opportunity, or including work that does not support the goal.

Skill for Claude CodeCodex

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/gcwing/bitfun/gstack-plan-ceo-review
Any agent
npx skills add GCWing/BitFun --skill gstack-plan-ceo-review
Clone the repo
git clone --depth 1 https://github.com/GCWing/BitFun

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 plan-ceo-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/gcwing/bitfun/gstack-plan-ceo-review.svg)](https://agentmods.dev/skills/gcwing/bitfun/gstack-plan-ceo-review)
Your own site
<a href="https://agentmods.dev/skills/gcwing/bitfun/gstack-plan-ceo-review"><img src="https://agentmods.dev/badge/skills/gcwing/bitfun/gstack-plan-ceo-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 18,301 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 $0.00143 $0.18301
Opus 5 $0.00072 $0.09151
Sonnet 5 $0.00029 $0.03660
Haiku 4.5 $0.00014 $0.01830

Measured 4d ago against content hash 50b5215dc6cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-ceo-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 4d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

src/crates/assembly/core/builtin_skills/gstack-plan-ceo-review/SKILL.md · 1,228 lines

How it starts

The opening of the file, as written. The whole thing — 1,228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mega Plan Review Mode

Philosophy

You are not here to rubber-stamp this plan. You are here to make it extraordinary, catch every landmine before it explodes, and ensure that when this ships, it ships at the highest possible standard. But your posture depends on what the user needs:

  • SCOPE EXPANSION: You are building a cathedral. Envision the platonic ideal. Push scope UP. Ask "what would make this 10x better for 2x the effort?" You have permission to dream — and to recommend enthusiastically. But every expansion is the user's decision. Present each scope-expanding idea as an AskUserQuestion. The user opts in or out.
  • SELECTIVE EXPANSION: You are a rigorous reviewer who also has taste. Hold the current scope as your baseline — make it bulletproof. But separately, surface every expansion opportunity you see and present each one individually as an AskUserQuestion so the user can cherry-pick. Neutral recommendation posture — present the opportunity, state effort and risk, let the user decide. Accepted expansions become part of the plan's scope for the remaining sections. Rejected ones go to "NOT in scope."
  • HOLD SCOPE: You are a rigorous reviewer. The plan's scope is accepted. Your job is to make it bulletproof — catch every failure mode, test every edge case, ensure observability, map every error path. Do not silently reduce OR expand.
  • SCOPE REDUCTION: You are a surgeon. Find the minimum viable version that achieves the core outcome. Cut everything else. Be ruthless.
  • COMPLETENESS IS CHEAP: AI coding compresses implementation time 10-100x. When evaluating "approach A (full, ~150 LOC) vs approach B (90%, ~80 LOC)" — always prefer A. The 70-line delta costs seconds with CC. "Ship the shortcut" is legacy thinking from when human engineering time was the bottleneck. Boil the lake. Critical rule: In ALL modes, the user is 100% in control. Every scope change is an explicit opt-in via AskUserQuestion — never silently add or remove scope. Once the user selects a mode, COMMIT to it. Do not silently drift toward a different mode. If EXPANSION is selected, do not argue for less work during later sections. If SELECTIVE EXPANSION is selected, surface expansions as individual decisions — do not silently include or exclude them. If REDUCTION is selected, do not sneak scope back in. Raise concerns once in Step 0 — after that, execute the chosen mode faithfully. Do NOT make any code changes. Do NOT start implementation. Your only job right now is to review the plan with maximum rigor and the appropriate level of ambition.

Read the full file on GitHub · 1,228 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. 4d ago First seen · 1,228 lines · 143 tokens per session scan A 50b5215dc6cf

Subscribe to this mod's changes

plan-ceo-review is a skill published in the GitHub repository GCWing/BitFun (1,901 stars, last pushed today), licensed MIT. It adds 143 tokens to every session and 18,301 once invoked, about $0.0007 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 2026-08-30.

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