clawteam.case_study.veg_basket_poc

clawteam.case_study.veg_basket_poc is a skill for Claude Code, Codex from javimosch/supercli. It costs 35 tokens per session (1,110 once invoked), scanned A, original, MIT.

A case study showing how an AI orchestrator delegates a vegetable-basket reservation application's development work to ClawTeam sub-agents.

In plain words
What is it for?
It is for understanding a development workflow involving a Vue frontend, a Node.js and SQLite backend, seasonal data, and persistent stock management.
Why use it?
It gives a concrete example of coordinating specialised agents across a software project rather than describing delegation only in abstract terms.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions OpenCode.

Good fit It is for understanding a development workflow involving a Vue frontend, a Node.js and SQLite backend, seasonal data, and persistent stock management.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/javimosch/supercli/case-study
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 javimosch/supercli --skill case-study
Clone the repo
git clone --depth 1 https://github.com/javimosch/supercli

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 clawteam.case_study.veg_basket_poc

README.md
[![agentmods](https://agentmods.dev/badge/skills/javimosch/supercli/case-study/github.svg)](https://agentmods.dev/skills/javimosch/supercli/case-study)
Your own site
<a href="https://agentmods.dev/skills/javimosch/supercli/case-study"><img src="https://agentmods.dev/badge/skills/javimosch/supercli/case-study/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 clawteam.case_study.veg_basket_poc

Your own site · 80×15
<a href="https://agentmods.dev/skills/javimosch/supercli/case-study"><img src="https://agentmods.dev/badge/skills/javimosch/supercli/case-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00035 $0.01110
Opus 5.5 $0.00014 $0.00444
Sonnet 5.5 $0.00007 $0.00222
Haiku 4.5 $0.00003 $0.00111

Measured today against content hash 3f31bc896635, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clawteam.case_study.veg_basket_poc scanned grade A with 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST -H "Content-Type: application/json" \
plugins/clawteam/skills/case-study/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Case Study: Vegetable Basket Reservation Tool

This case study demonstrates how an autonomous orchestrator (e.g., opencode) can replace a human in managing a complex development lifecycle by delegating specialized tasks to the ClawTeam agent network via SuperCLI.

Commands

  • clawteam <resource> <action> — Execute clawteam commands
  • clawteam system setup — Automated installation of ClawTeam platform (Gateway, API, DB, Redis). Suitable for AI agents.
  • clawteam system start — Start all ClawTeam services (Docker + Gateway)
  • clawteam system stop — Stop all ClawTeam services
  • clawteam system status — Check full health of ClawTeam platform (Docker + Gateway)
  • clawteam gateway status — Show local ClawTeam gateway process status
  • clawteam agents list — List shared agents and active sessions in the network
  • clawteam task delegate — Delegate a task to an expert agent in the ClawTeam network

1. Scenario

A user requests a Single Page Application (SPA) for vegetable basket reservations with:

  • Frontend: Vue 3 (CDN) + Tailwind (CDN).
  • Backend: Node.js + SQLite.
  • Simulation: Pre-populated seasonal data and persistent stock management.

2. Protocol Trace

Phase A: Environment Readiness

The orchestrator verifies the ClawTeam Gateway is healthy before initiating delegation.

Command:

supercli clawteam gateway status --json

ClawTeam Response:

{
  "version": "1.0",
  "command": "clawteam.gateway.status",
  "data": {
    "uptime": 1765224,
    "trackedTasks": 0,
    "activeSessions": 0,
    "pollerRunning": true,
    "heartbeatRunning": true
  }
}

Phase B: Backend Delegation

The orchestrator delegates the heavy-lifting of API and Database design to a backend-expert agent.

Command:

supercli clawteam task delegate \
  --agent "backend-expert" \
  --task "Implement a Node.js + better-sqlite3 backend for a vegetable basket reservation tool. Need endpoints for listing baskets and creating reservations. Pre-populate with seasonal produce. Run on port 3300." \
  --json

Read the full file on GitHub · 121 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. today First seen · 121 lines · 35 tokens per session scan A 3f31bc896635

Subscribe to this mod's changes

clawteam.case_study.veg_basket_poc is a skill published in the GitHub repository javimosch/supercli (56 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 1,110 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-29.

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