qa-journey-activation-orchestrator

qa-journey-activation-orchestrator is an agent for Claude Code from amghanekar-deloitte/AEP-MCP_SERVER. It costs 0 tokens per session (8,954 once invoked), scanned A, original, no licence file.

A quality-assurance agent for Adobe Journey Optimizer activation workflows, which connect audience segments, campaigns, and customer journeys. It creates and runs tests identified by SEG-, CAM-, and JRN-prefixed test IDs.

In plain words
What is it for?
Use it to generate or execute QA tests for activation workflows, including segment definitions, campaign settings, and journey orchestration.
Why use it?
It checks whether activation setups are configured and connected correctly across segments, campaigns, and journeys.

Agent for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to generate or execute QA tests for activation workflows, including segment definitions, campaign settings, and journey orchestration.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator
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.

Clone the repo
git clone --depth 1 https://github.com/amghanekar-deloitte/AEP-MCP_SERVER

Made for: Claude Code.

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 qa-journey-activation-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator/github.svg)](https://agentmods.dev/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator)
Your own site
<a href="https://agentmods.dev/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator"><img src="https://agentmods.dev/badge/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator/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 qa-journey-activation-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator"><img src="https://agentmods.dev/badge/agents/amghanekar-deloitte/aep-mcp_server/qa-journey-activation-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 8,954 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 unknown 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 $0.00000 $0.08954
Opus 5.5 $0.00000 $0.03582
Sonnet 5.5 $0.00000 $0.01791
Haiku 4.5 $0.00000 $0.00895

Measured 2mo ago against content hash e6afb0ace4e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-journey-activation-orchestrator 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 2mo 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.

Makes network callslowCapability

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

ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${SEGMENT_NAME}', safe=''))")
.claude/agents/qa-journey-activation-orchestrator.md · 885 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 885 lines · 0 tokens per session scan A e6afb0ace4e3

Subscribe to this mod's changes

qa-journey-activation-orchestrator is an agent published in the GitHub repository amghanekar-deloitte/AEP-MCP_SERVER (2 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 8,954 tokens. 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 2026-08-31.

Related

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