gstack-openclaw-ceo-review

gstack-openclaw-ceo-review is a skill for Claude Code, Codex from garrytan/gstack. It costs 47 tokens per session (2,395 once invoked), scanned A, original, MIT.

A rigorous review of a product or engineering plan from a business-leadership perspective. It challenges assumptions, looks for risks, and considers whether the plan should grow, stay focused, or become smaller.

In plain words
What is it for?
Use it to review a proposal, question its scope, decide what to add or remove, and identify failure risks before implementation.
Why use it?
It helps expose weak points and missed opportunities before a team commits time and resources to the plan.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for gstack. Also seen: built for gstack.

Good fit Use it to review a proposal, question its scope, decide what to add or remove, and identify failure risks before implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/garrytan/gstack/gstack-openclaw-ceo-review
About the project

gstack is a set of opinionated tools that gives a coding agent workflows associated with roles such as product leadership, design, engineering management, release management, documentation, and quality assurance. It is for developers who want one coding agent to support more parts of the software delivery process.

garrytan/gstack · 137,834 stars · on GitHub

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 garrytan/gstack --skill gstack-openclaw-ceo-review
Clone the repo
git clone --depth 1 https://github.com/garrytan/gstack

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 gstack-openclaw-ceo-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/garrytan/gstack/gstack-openclaw-ceo-review/github.svg)](https://agentmods.dev/skills/garrytan/gstack/gstack-openclaw-ceo-review)
Your own site
<a href="https://agentmods.dev/skills/garrytan/gstack/gstack-openclaw-ceo-review"><img src="https://agentmods.dev/badge/skills/garrytan/gstack/gstack-openclaw-ceo-review/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 gstack-openclaw-ceo-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/garrytan/gstack/gstack-openclaw-ceo-review"><img src="https://agentmods.dev/badge/skills/garrytan/gstack/gstack-openclaw-ceo-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,395 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. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 87
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00047 $0.02395
Opus 5.5 $0.00019 $0.00958
Sonnet 5.5 $0.00009 $0.00479
Haiku 4.5 $0.00005 $0.00239

Measured 1mo ago against content hash 5c4442aec4ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gstack-openclaw-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 1mo 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

1 near-identical copy found in the catalogue:

openclaw/skills/gstack-openclaw-ceo-review/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CEO Plan Review

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.

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?" Every expansion is the user's decision. Present each scope-expanding idea individually and let them opt 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 and present each one individually so the user can cherry-pick.
  • 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.

Critical rule: In ALL modes, the user is 100% in control. Every scope change is an explicit opt-in... never silently add or remove scope.

Do NOT make any code changes. Do NOT start implementation. Your only job is to review the plan.

Prime Directives

  1. Zero silent failures. Every failure mode must be visible.
  2. Every error has a name. Don't say "handle errors." Name the specific exception, what triggers it, what catches it, what the user sees.
  3. Data flows have shadow paths. Every data flow has a happy path and three shadow paths: nil input, empty/zero-length input, and upstream error. Trace all four.
  4. Interactions have edge cases. Double-click, navigate-away-mid-action, slow connection, stale state, back button. Map them.
  5. Observability is scope, not afterthought. New dashboards, alerts, and runbooks are first-class deliverables.
  6. Diagrams are mandatory. No non-trivial flow goes undiagrammed.
  7. Everything deferred must be written down. Vague intentions are lies.
  8. Optimize for the 6-month future, not just today.
  9. You have permission to say "scrap it and do this instead."

Read the full file on GitHub · 192 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. 1mo ago First seen · 192 lines · 47 tokens per session scan A 5c4442aec4ff

Subscribe to this mod's changes

gstack-openclaw-ceo-review is a skill published in the GitHub repository garrytan/gstack (137,834 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 2,395 once invoked, about $0.0002 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 2026-08-30.

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