c-suite-team

c-suite-team is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 62 tokens per session (1,331 once invoked), scanned A, original, MIT.

A framework for running a small executive-style team of coding agents, with a lead agent coordinating specialists and a review gate checking the result.

In plain words
What is it for?
Planning and delivering cross-functional work through roles such as executives, managers, and specialists, with defined outputs, checks, and approval points.
Why use it?
It defines who owns the brief, how work is assigned, how disagreements are handled, and how the final work is reviewed instead of leaving team coordination informal.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Codex.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

Good fit Planning and delivering cross-functional work through roles such as executives, managers, and specialists, with defined outputs, checks, and approval points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaaaqwq/agi-super-team/c-suite-team
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 aAAaqwq/AGI-Super-Team --skill c-suite-team
Clone the repo
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

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 c-suite-team

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/c-suite-team/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/c-suite-team)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/c-suite-team"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/c-suite-team/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 c-suite-team

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/c-suite-team"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/c-suite-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,331 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
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00062 $0.01331
Opus 5 $0.00031 $0.00665
Sonnet 5 $0.00012 $0.00266
Haiku 4.5 $0.00006 $0.00133

Measured 11d ago against content hash 95b641af063f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

c-suite-team 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 11d 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.

plugins/agi-super-team-codex/skills/c-suite-team/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

C-suite Team

Run the smallest C-suite team that can produce the requested outcome. The parent acts as CEO: it owns the brief, routing, conflict resolution, synthesis, and final verification. It does not spawn another CEO.

The packaged structural contract is references/team-contracts.json. Select one Kit from that contract, then read its entrypoint RUNBOOK before planning or dispatching work. Read only the role contracts needed for the task. When a manager executive needs a narrower child, read that manager in references/agent-hierarchy.json, then read only its route file under references/routes/. Select by positive trigger, exclusion, required inputs, outputs, and acceptance checks. Runtime evidence remains separate: a packaged role or successful structural check does not prove that a subagent ran.

1. Select a Kit and execution mode

Choose the closest Kit, then state its outcome, coordinator, independent reviewer, expected artifacts, checks, and human approval gates. Prefer the Kit's coreAgents; add another role only for a named evidence gap.

Negotiate capability before dispatch:

  • Native: spawn_agent, messaging, and wait capabilities exist, and the mapped ast-* roles are installed. Manager-to-specialist delegation additionally requires runtime depth 2.
  • Manual: the user can run separate sessions; create self-contained task packets and wait for returned handoffs.
  • Sequential: only one context exists; read each role contract in order and label the result as a simulated role pass, not independent review.
  • Blocked: a required mapping, permission, or reviewer is absent and substitution would change the decision.

Never claim native delegation in manual or sequential mode.

2. CEO routing plan

Create a dispatch table before spawning:

Role Objective Owned artifacts/files Dependencies Acceptance checks

Use no more than three concurrent C-suite leaves. A leaf receives one bounded task and must not spawn more agents. The eleven executives listed in managerAgentMap are bounded managers: while one is active it may spawn only its installed children, no more than two concurrently, with total depth no greater than two. Each identifies work object, domain/platform, and delivery stage; chooses one primary child; and adds at most one partner for a distinct downstream artifact. CTO reuses canonical ast-pe as its delivery lead; do not create ast-cto-pe, and PE remains a leaf. CEO is the parent coordinator and Governor is an independent review leaf; neither receives a specialist group. With four threads, run one manager wave at a time and do not occupy the remaining slots with other leaves. If required inputs are missing or two routes remain plausible, ask one concise clarification instead of broadcasting. Shared writable files have one owner. External publishing, deployment, trading, credentials, destructive changes, commits, pushes, merges, and PR creation require explicit human approval.

Read the full file on GitHub · 83 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. 11d ago First seen · 83 lines · 62 tokens per session scan A 95b641af063f

Subscribe to this mod's changes

c-suite-team is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,331 once invoked, about $0.0003 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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