agentic-commerce

agentic-commerce is a skill for Claude Code, Codex from imMamdouhaboammar/marketing-council-pack. It costs 37 tokens per session (614 once invoked), scanned A, original, MIT.

A framework for deciding whether an AI agent is ready to help with buying and selling. It covers the path from accurate product information through payment, rules, delivery, and customer support.

In plain words
What is it for?
Use it to assess shopping assistants, automated checkout, special offers, commerce protocols, and other buying processes involving AI agents.
Why use it?
It helps reveal where an agent-led purchase could fail, while separating confirmed facts from guesses and unknowns.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the marketing-council plugin — 30 skills, 1 command, 24 agents shipped together

Good fit Use it to assess shopping assistants, automated checkout, special offers, commerce protocols, and other buying processes involving AI agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/immamdouhaboammar/marketing-council-pack/agentic-commerce
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 imMamdouhaboammar/marketing-council-pack --skill agentic-commerce
Clone the repo
git clone --depth 1 https://github.com/imMamdouhaboammar/marketing-council-pack

Made for: Claude Code, Codex.

Or install marketing-council, the plugin that ships this one along with the rest of its 30 skills, 1 command, 24 agents.

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 agentic-commerce

README.md
[![agentmods](https://agentmods.dev/badge/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce/github.svg)](https://agentmods.dev/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce)
Your own site
<a href="https://agentmods.dev/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce/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 agentic-commerce

Your own site · 80×15
<a href="https://agentmods.dev/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce"><img src="https://agentmods.dev/badge/skills/immamdouhaboammar/marketing-council-pack/agentic-commerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 614 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.
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 $0.00037 $0.00614
Opus 5 $0.00018 $0.00307
Sonnet 5 $0.00007 $0.00123
Haiku 4.5 $0.00004 $0.00061

Measured 7d ago against content hash 8758fc02b207, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agentic-commerce 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 7d 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.

skills/agentic-commerce/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic Commerce

Job

Prepare products, policies, offers, and authority boundaries for agent-mediated buying

Own this request only when agentic commerce readiness is the clear decision boundary. If ownership is ambiguous or several functions compete, route to marketing-council. If the user explicitly asks for dependent work across functions, use ../../scripts/dynamic_router.py to build a bounded DAG.

Operating contract

  1. Read references/skill-spec.json first for activation, invariants, workflow freedom, evidence rules, handoffs, and completion conditions.
  2. Use references/decision-model.md when framing or challenging the decision.
  3. Check references/failure-modes.md before finalizing a recommendation.
  4. Render the response against references/output-contract.md.
  5. Use packaged shared references or current external research only when they are load-bearing. Never present inference as evidence.

Evidence discipline

Classify material claims as fact, inference, assumption, or unknown. Prefer supplied primary evidence. Verify current platform, policy, product, pricing, or market claims when freshness affects the recommendation. Do not fabricate research, tool calls, metrics, customer language, or causal proof.

Routing

  • Focused request: stay inside this Skill.
  • Ambiguous or cross-functional ownership: hand to marketing-council.
  • Explicit dependency chain: use ../../scripts/dynamic_router.py.
  • After Skill ownership is known, theory/agent selection may use ../../scripts/neural_router.py; neural nodes never replace Skill routing.

Execution connections

  • Primary specialist: ../../agents/agentic-commerce-strategist.md
  • Skeptical counterweight: ../../agents/marketing-skeptic.md
  • Domain challenge gate: ../../hooks/agentic-commerce-readiness.md
  • Evidence gate: ../../hooks/evidence-gate.md
  • Keep these as decision inputs, not automatic authority. The Skill owns the final evidence-bound synthesis.

Neural connections

Read the full file on GitHub · 56 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago Changed · +17 lines · +3 tokens per session 8758fc02b207
  2. 12d ago First seen · 39 lines · 34 tokens per session scan A 313106a6a481

Subscribe to this mod's changes

agentic-commerce is a skill published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 37 tokens to every session and 614 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.