Install
$ agentstack add skill-kelpi-ai-meta-ads-skills-pixel-conversions ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Pixel & Conversions
Doctrine
If the pixel is broken, every other number is a lie, and the algorithm optimizes toward the lie. The most common ownerside symptom is "Meta says my ads are fine, Shopify says sales are down": that is either attribution's normal flattery or a real tracking break, and knowing which is worth more than any optimization. Measurement integrity precedes optimization, always.
When to use
- Before the first campaign, after every site or checkout change, and monthly regardless.
- Whenever Meta's dashboard and your store/CRM disagree hard.
- Needs a Meta Ads MCP, read access.
Run it
Tracking truth check, READ-ONLY:
1. List the pixels on my account and which one my active campaigns optimize toward.
2. For the last 7 days: which conversion events fired, at what volume? Flag anything that looks broken: purchase events at zero while traffic flows, events double-firing, or a custom event that silently replaced a standard one.
3. Compare Meta's reported conversions for the period against my store's number: [MY STORE'S COUNT]. State the gap as a percentage and explain the plausible causes in plain language (attribution windows, view-through, genuine breakage), ranked by likelihood.
4. Tell me the ONE fix worth doing first if anything is broken, and what it would confirm.
5. Change nothing.
Guardrails
- Read-only; fixes happen on the site or in Events Manager by a human.
- Never explain a gap away: "a 15% gap is normal attribution behavior" and "your purchase event died Tuesday" are different findings; say which one the data shows.
- If store numbers are unavailable, say the reconciliation is incomplete rather than trusting Meta's side alone.
Good output looks like
A verdict in one line ("your tracking is telling the truth" or "purchase events died on [date]"), the evidence, and one prioritized fix.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: kelpi-ai
- Source: kelpi-ai/meta-ads-skills
- License: MIT
- Homepage: https://kelpi.ai/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.