explain-audience

explain-audience is a skill for Claude Code from amghanekar-deloitte/AEP-MCP_SERVER. It costs 95 tokens per session (668 once invoked), scanned A, original, no licence file.

An audience explainer for Adobe Experience Platform (AEP), where an audience is a group of people selected by rules. It translates the audience's technical query into plain language and explains who qualifies and why.

In plain words
What is it for?
Use it to explain an audience, summarize its membership conditions, and describe how it was built.
Why use it?
It helps non-technical stakeholders understand what an audience means without reading its technical rules.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to explain an audience, summarize its membership conditions, and describe how it was built.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amghanekar-deloitte/aep-mcp_server/explain-audience
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 explain-audience
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 explain-audience

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/explain-audience"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/explain-audience.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 668 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 $0.00095 $0.00668
Opus 5.5 $0.00038 $0.00267
Sonnet 5.5 $0.00019 $0.00134
Haiku 4.5 $0.00010 $0.00067

Measured 1mo ago against content hash e1036090fd20, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explain-audience 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/explain-audience/SKILL.md · 86 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 · 86 lines · 95 tokens per session scan A e1036090fd20

Subscribe to this mod's changes

explain-audience 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 95 tokens to every session and 668 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

explain-audience compared with skills from other repositories

explain-audience next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
explain-audienceamghanekar-deloitte/AEP-MCP_SERVERSkill21mo agononeA95Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex