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 akiotanaka847/qaio-desktop --skill measure-my-marketinggit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/measure-my-marketing)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/measure-my-marketing"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/measure-my-marketing/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/akiotanaka847/qaio-desktop/measure-my-marketing"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/measure-my-marketing.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 | $0.00060 | $0.03493 |
| Opus 5 | $0.00030 | $0.01747 |
| Sonnet 5 | $0.00012 | $0.00699 |
| Haiku 4.5 | $0.00006 | $0.00349 |
Grade A, and why
measure-my-marketing 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 12d 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Measure My Marketing
One skill for every measurement job. scope param picks the output shape: a developer-ready event tracking spec, a rigorous A/B test doc, or a weekly LinkedIn performance digest. All grounded in your positioning so you measure what matters to your ideal customer, not vanity numbers.
Parameter: scope
tracking-plan- event-tracking plan (event name, trigger, properties, owner per step) plus a UTM matrix so paid / social / email are comparable in GA4 / your analytics. Output:tracking-plans/{slug}.md.ab-test- full test spec covering hypothesis (PICOT), control vs variant, primary + secondary metrics, sample-size estimate with MDE + power, duration, and go/no-go criteria. Output:ab-tests/{slug}.md.linkedin-digest- weekly digest of your own post stats (reach, engagement, new followers) plus notable network posts worth engaging with. Output:linkedin-digests/{YYYY-MM-DD}.md.
User names scope in plain English ("spec event tracking for signup", "A/B test for the pricing page", "LinkedIn digest", "how did my posts do") -> infer. Ambiguous -> ask ONE question naming all three options.
When to use
tracking-plan:
- "Spec event tracking for signup -> activation"
- "UTM plan for the Q2 campaigns"
- "Tracking plan for the new pricing page"
- Called by
plan-a-campaignwhen campaign needs events or UTMs that don't exist yet.
ab-test:
- "A/B test for the pricing page headline"
- "Design an experiment for {proposed change}"
- "Hypothesis for swapping {X} to {Y}"
- Often follows
audit-a-surface(surface=landing-page) when fixes flagged are non-obvious -> design test.
linkedin-digest:
- "LinkedIn digest" / "how did my posts do this week" / "weekly LinkedIn roundup" / "what did my network post".
- Weekly - Friday / Sunday-evening routine.
Connections I need
I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing -> I name the category, ask you to connect it from the Integrations tab, stop.
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.
- 12d ago First seen · 183 lines · 60 tokens per session scan A 60f9b884edfc
measure-my-marketing is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 60 tokens to every session and 3,493 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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