check-dataflow-health

check-dataflow-health is a skill for Claude Code from amghanekar-deloitte/AEP-MCP_SERVER. It costs 110 tokens per session (703 once invoked), scanned A, original, no licence file.

A dataflow health checker for Adobe Experience Platform. A dataflow is a scheduled process that moves data into or through the platform.

In plain words
What is it for?
Use it to check whether a dataflow is healthy, find its last run, inspect errors, and review run history.
Why use it?
It brings the latest result, upcoming schedule, errors, and previous runs together when a data import may be failing.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to check whether a dataflow is healthy, find its last run, inspect errors, and review run history.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health
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 amghanekar-deloitte/AEP-MCP_SERVER --skill check-dataflow-health
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 check-dataflow-health

README.md
[![agentmods](https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health/github.svg)](https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health)
Your own site
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health/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 check-dataflow-health

Your own site · 80×15
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/check-dataflow-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 703 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 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 $0.00110 $0.00703
Opus 5.5 $0.00044 $0.00281
Sonnet 5.5 $0.00022 $0.00141
Haiku 4.5 $0.00011 $0.00070

Measured 1mo ago against content hash 4c9c94b048b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check-dataflow-health 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.

.claude/skills/check-dataflow-health/SKILL.md · 76 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. 1mo ago First seen · 76 lines · 110 tokens per session scan A 4c9c94b048b3

Subscribe to this mod's changes

check-dataflow-health is a skill published in the GitHub repository amghanekar-deloitte/AEP-MCP_SERVER (2 stars, last pushed 1mo ago), with no licence file. It adds 110 tokens to every session and 703 once invoked, about $0.0004 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 2026-09-11.

Related

check-dataflow-health compared with skills from other repositories

check-dataflow-health next to 6 skills from other repositories
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local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
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systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex