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 bromso/metapowers --skill analytics-trackinggit clone --depth 1 https://github.com/bromso/metapowersWrote 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/bromso/metapowers/analytics-tracking)<a href="https://agentmods.dev/skills/bromso/metapowers/analytics-tracking"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/analytics-tracking/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/bromso/metapowers/analytics-tracking"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/analytics-tracking.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 | $0.00078 | $0.00680 |
| Opus 5.5 | $0.00031 | $0.00272 |
| Sonnet 5.5 | $0.00016 | $0.00136 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
analytics-tracking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Tracking
Plan analytics and event tracking for "$ARGUMENTS". Design measurement frameworks, event taxonomies, and attribution models.
Arguments. $ARGUMENTS may contain the project name and optional flags. Take the first token as <project> and treat --skip-checks as a flag; never include flags in file paths. All paths below use <project>. If --skip-checks is present, skip the prerequisite check and, before writing any artifact, append one line to .metapowers/marketing/<project>/skip-log.md: - <ISO timestamp> — <skill name> skipped prerequisite check for <artifact file> — reason: <reason or "none given">.
Prerequisites
None — this is a utility skill that works across all phases.
Process
-
Read context (if available):
- Read
.metapowers/marketing/<project>/00-strategy.mdfor KPIs and success metrics - Read any existing phase artifacts for metrics mentioned
- Read
-
Define measurement framework:
- What business questions need answering?
- Map KPIs to RACE phases: Reach, Act, Convert, Engage
- Identify leading vs. lagging indicators
- Define the conversion funnel with measurable steps
-
Design event taxonomy:
- Naming convention:
category_action_labelorobject.action - Core events: page views, signups, activations, conversions, upgrades, churns
- Engagement events: feature usage, content consumption, sharing
- Campaign events: UTM tracking, ad clicks, email opens
- Properties per event: what metadata to capture
- Naming convention:
-
Attribution model:
- First-touch vs. last-touch vs. multi-touch attribution
- UTM parameter strategy
- Cross-device and cross-session tracking considerations
- Privacy and consent requirements (GDPR, CCPA)
-
Tool recommendations:
- Analytics platform (GA4, Mixpanel, Amplitude, PostHog)
- Tag management (GTM)
- Data layer design
- Dashboard and reporting recommendations
-
Write the artifact — write to
.metapowers/marketing/<project>/analytics-tracking.md:- Measurement Framework — KPIs per RACE phase
- Event Taxonomy — full event list with properties
- Attribution Model — recommended model with rationale
- Implementation Guide — tool setup and tag management
- Dashboard Plan — what dashboards to build
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.
- 3d ago First seen · 61 lines · 78 tokens per session scan A 988b4e47b51d
analytics-tracking is a skill published in the GitHub repository bromso/metapowers (2 stars, last pushed 3d ago), licensed MIT. It adds 78 tokens to every session and 680 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 2026-10-21.
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