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 iamwaqargulzar/Marketing-Agent-OS --skill analyticsgit clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OSWrote 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/iamwaqargulzar/marketing-agent-os/analytics)<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/analytics"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/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/iamwaqargulzar/marketing-agent-os/analytics"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00025 | $0.00714 |
| Opus 5 | $0.00013 | $0.00357 |
| Sonnet 5 | $0.00005 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
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 10d 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.
This is a copy
69% identical to impeccable — 317 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics
Quick Start
Use this skill for analytics. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.
Skill Contract
- Reads: user-provided context; relevant project files;
.agents/product-marketing.mdwhen present; approved public or connected data sources. - Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
- Evidence: label consequential claims as
measured,user-provided,calculated,estimated, orproxy. Never upgrade uncertainty silently. - Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
- Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.
Instructions
- Define the exact
analyticsobjective, audience/scope, constraints and success metric before recommending action. - Load shared product-marketing context when it materially changes the answer; ask only for missing facts that block a decision.
- Collect the minimum evidence needed for analytics. Distinguish direct observations from assumptions and proxies.
- Execute the analytics analysis or artifact using the domain checklist below; prefer specific outputs over generic best-practice lists.
- Prioritize actions by impact, confidence, effort and dependency. Identify what would falsify important assumptions.
- For external side effects, publishing, sending, spend changes, account changes or persistent writes, obtain authorization first.
- Finish with decision-ready output, evidence labels, open loops, and no more than three next-best skills.
Domain Checklist
- Business objective
- Conversion definition
- Audience/keyword segmentation
- Creative/offer fit
- Budget and bidding assumptions
- Tracking QA
- Experiment structure
- Pacing/fatigue
- Attribution caveats
What ships with it
4 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.
- 10d ago First seen · 75 lines · 25 tokens per session scan A 440d2fc9fb55
analytics is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (3 stars, last pushed 5d ago), licensed Apache-2.0. It adds 25 tokens to every session and 714 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 69% identical to impeccable, differing in 317 lines, and is treated as a copy.
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