sparkx-ads-structure-analysis SKILL.md skillA

sparkx-ads-structure-analysis from sparkxai/sparkxai-mcp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add sparkxai/sparkxai-mcp/sparkx-ads-structure-analysis@v1.1.6

Pins v1.1.6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
sparkxai/sparkxai-mcp
Path
skills/sparkx-ads-structure-analysis/SKILL.md
Versions recorded
14
Latest version
v1.1.6, committed Nov 3, 2026
First version recorded
Aug 18, 2026
Size
47,276 bytes
Repository stars
19
License
none declared

Analyze how ad spend and efficiency break down across a structural dimension — campaign type (SP/SB/SD), marketplace/site, portfolio, weekday-vs-weekend, hour-of-day, or campaign size tiers (head vs long tail) — and diagnose where spend share and efficiency don't match (over-invested underperformers, under-invested strong performers). Optional sub-scenarios: SP deep-dive (manual vs auto targeting), SB new-to-brand focus. Use when the user asks "我 SP/SB/SD 结构合理吗", "各站点谁强", "SB 新客到底行不行…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Ads Structure Analysis

## Scope: This Is an Orchestration Skill, Not a New MCP Tool

This skill does **not** map to a single MCP tool of its own — it orchestrates two existing read tools, each already covered by its own skill:

- `get_ads_perf` → [sparkx-query-ads-performance](../sparkx-query-ads-performance/SKILL.md)
- `get_entity_metadata` → [sparkx-query-entity-metadata](../sparkx-query-entity-metadata/SKILL.md)

> **Dependency — install these two base skills alongside this one:** `sparkx-query-ads-performance`, `sparkx-query-entity-metadata`. Skills install as sibling directories under your current agent's skills root (`.claude/skills/<name>/` for Claude Code; the equivalent root for other agents — see the installation notes in [README](../README.md)), which is exactly what the `../query-.../…` links above (and elsewhere in this doc) resolve against — if a base skill isn't installed there, those links won't resolve and this skill can't run. Install both first.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sparkxai/sparkxai-mcp/sparkx-ads-structure-analysis@sha256:0a7d54bfd09eacf0

The line at the top of this page pins the label v1.1.6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hrza6xyieog5pihe.svg)](https://markdownregistry.com/a/art_hrza6xyieog5pihe)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 14 versions of this file, between Aug 18, 2026 and Nov 3, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
v1.1.6 latest2026-11-03 ca50742 47,276 BA view · diff
v1.1.52026-10-27 0ba4904 47,276 BA view · diff
v1.1.42026-10-22 223b6df 44,946 BA view · diff
v1.1.32026-10-21 edc9390 44,943 BA view · diff
v1.1.22026-10-20 902e7d0 44,335 BA view · diff
v1.1.02026-10-13 4d4d72e 41,983 BA view · diff
v1.0.62026-09-23 06df073 28,458 BA view · diff
v1.0.52026-09-17 387383b 28,458 BA view · diff
v1.0.42026-09-11 7a36486 27,326 BA view · diff
v1.0.32026-09-08 87fbf11 33,337 BA view · diff
v1.0.22026-08-28 41d644d 33,337 BA view · diff
v1.0.12026-08-27 c170f96 33,337 BA view · diff
v1.0.12026-08-25 e9f215e 33,188 BA view · diff
v1.0.02026-08-18 881d607 30,250 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (47276 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sparkxai/sparkxai-mcp · 19 stars · license none declared · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hrza6xyieog5pihe
GET https://markdownregistry.com/api/v1/resolve?ref=sparkxai/sparkxai-mcp/sparkx-ads-structure-analysis
GET https://markdownregistry.com/api/v1/blob/0a7d54bfd09eacf0ab6a52d9a4bec775f2b2b25f378decae4c26a76f4161add2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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