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.
npx skills add LeadMagic/gtm-skills --skill campaign-analyticsgit clone --depth 1 https://github.com/LeadMagic/gtm-skillsWrote 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.
[](https://agentmods.dev/skills/leadmagic/gtm-skills/campaign-analytics)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/campaign-analytics"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/campaign-analytics/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.
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/campaign-analytics"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/campaign-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.06191 |
| Opus 5.5 | $0.00026 | $0.02476 |
| Sonnet 5.5 | $0.00013 | $0.01238 |
| Haiku 4.5 | $0.00006 | $0.00619 |
Grade A, and why
campaign-analytics 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Analytics
Overview
Campaign Analytics provides a systematic framework for measuring, diagnosing, and optimizing outbound and inbound campaign performance. The core principle is that campaigns fail at specific layers in the infrastructure-to-revenue stack — fixing the wrong layer wastes time and money. This skill prevents the common mistake of tweaking copy when deliverability is broken, or adjusting targeting when the offer is wrong.
The non-obvious rule: every campaign metric exists in a dependency chain. Deliverability gates open rates. Open rates gate reply rates. Reply rates gate meetings. Meetings gate pipeline. You cannot fix layer 5 if layer 2 is broken. This skill enforces layer-by-layer diagnosis before optimization.
This skill produces a Campaign Performance Diagnostic Report containing: a 6-layer health scan, a diagnostic decision tree with root cause identification, winning copy extraction with statistical confidence, benchmark comparisons across three reference sets, and a prioritized optimization action plan with expected impact estimates.
When to Use
- User says "analyze my campaign" or "campaign performance review" → activate this skill
- User mentions "open rates dropped" or "reply rates are low" → use this skill for root-cause diagnosis
- User asks "which subject line performed better" or "what copy is working" → use the copy extraction module
- User says "benchmark my metrics" or "how do I compare to industry" → activate benchmarking
- User mentions "campaign ROI" or "cost per meeting" → use full stack analysis
- User asks "why isn't this campaign working" → run the diagnostic decision tree
- Trigger phrases: campaign analytics, email performance, sequence metrics, campaign optimization, campaign dashboard, pipeline from campaigns
Do NOT use for:
- Setting up new campaigns or sequences → use cold-email-strategy
- Writing new email copy → use cold-email-copywriting
- Deliverability-only issues (DNS, warmup, blacklists) → use deliverability-monitoring
- Attribution modeling across channels → use attribution
- Real-time alerting on pipeline metrics → use proactive-alerts
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago Changed f8d124991a5c
- 1mo ago Changed 0ce57e144c96
- 1mo ago First seen · 428 lines · 64 tokens per session scan A 787a2a21adf0
campaign-analytics is a skill published in the GitHub repository LeadMagic/gtm-skills (67 stars, last pushed 11d ago), licensed MIT. It adds 64 tokens to every session and 6,191 once invoked, about $0.0003 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 2026-08-30.
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