ad-lead-quality-analyzer SKILL.md skillA
ad-lead-quality-analyzer from gooseworks-ai/goose-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gooseworks-ai/goose-skills/ad-lead-quality-analyzer@git:20261025.6fac613Pins git:20261025.6fac613 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gooseworks-ai/goose-skills
- Path
skills/shared/ad-lead-quality-analyzer/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261025.6fac613, committed Oct 25, 2026
- First version recorded
- Oct 23, 2026
- Size
- 11,004 bytes
- Repository stars
- 1,302
- License
- MIT
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
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
# Ad Lead Quality Analyzer Meta optimizes for whatever conversion event you fire. For lead-gen and participant-recruitment campaigns that's almost always "signup" — but a signup is worthless if the lead never qualifies, never completes the requested action, or never gets paid out. The lowest-CPA campaign is often the one bringing in the *worst* leads. This skill joins what the ad platform knows (spend, signups) with what your own product knows (downstream funnel) and replaces vanity CPA with **true CAC per qualified lead**. It then classifies every creative into actionable buckets so you stop scaling the wrong winners. **Core principle:** The ad platform's CPA is a half-truth. Real optimization needs both halves of the funnel — pre-signup (the platform has it) and post-signup (you have it). Until they're joined, you're flying blind. ## When to Use - "Which ads are bringing in real leads vs. junk?" - "True CAC per qualified contributor / customer / participant" - "Why is my lowest-CPA campaign performing worst downstream?" - "Audit lead quality across creatives / audiences / placements" - "Should I trust Meta's CPA when scaling?" …
Read the whole file at its exact version.
How to install
mdr add gooseworks-ai/goose-skills/ad-lead-quality-analyzer@sha256:879a7f5d4f9a1c09The line at the top of this page pins the label git:20261025.6fac613, 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.
[](https://markdownregistry.com/a/art_6nxulzmibhdy6oh5)
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Versions
The registry has recorded 3 versions of this file, between Oct 23, 2026 and Oct 25, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261025.6fac613 latest | 2026-10-25 | 6fac613 | 11,004 B | A | view · diff |
| git:20261024.811818d | 2026-10-24 | 811818d | 11,016 B | A | view · diff |
| git:20261023.4cd1948 | 2026-10-23 | 4cd1948 | 10,921 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11004 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
gooseworks-ai/goose-skills · 1,302 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6nxulzmibhdy6oh5 GET https://markdownregistry.com/api/v1/resolve?ref=gooseworks-ai/goose-skills/ad-lead-quality-analyzer GET https://markdownregistry.com/api/v1/blob/879a7f5d4f9a1c0932c8170048d4466a5fa4846c0d7bb0a84a41eb34e2405dc3
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.