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 agentmods add skills/nicepkg/ai-workflow/analytics-interpretationnpx skills add nicepkg/ai-workflow --skill analytics-interpretationgit clone --depth 1 https://github.com/nicepkg/ai-workflowWhat 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 | $0.00021 | $0.01493 |
| Opus 5 | $0.00010 | $0.00746 |
| Sonnet 5 | $0.00004 | $0.00299 |
| Haiku 4.5 | $0.00002 | $0.00149 |
Grade A, and why
analytics-interpretation 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 2d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Interpretation
When to Use
- Analyzing content performance reports
- Understanding traffic patterns
- Interpreting search console data
- Making data-driven content decisions
- Explaining metrics to stakeholders
Metric Benchmarks
Google Analytics 4 (GA4)
| Metric | Good | Warning | Poor | Action When Poor |
|---|---|---|---|---|
| Avg Time on Page | >3 min | 1-3 min | <1 min | Improve content depth, add multimedia |
| Bounce Rate | <40% | 40-70% | >70% | Add internal links, improve intro hook |
| Engagement Rate | >60% | 30-60% | <30% | Review content quality, add CTAs |
| Scroll Depth | >75% | 50-75% | <50% | Add visual breaks, improve structure |
| Pages/Session | >2.5 | 1.5-2.5 | <1.5 | Improve internal linking |
Google Search Console (GSC)
| Metric | Good | Warning | Poor | Action When Poor |
|---|---|---|---|---|
| CTR | >5% | 2-5% | <2% | Improve title/meta description |
| Avg Position | 1-3 | 4-10 | >10 | Strengthen content, build links |
| Impressions Trend | Growing | Stable | Declining | Refresh content, target new keywords |
| Mobile Usability | PASS | - | FAIL | Fix mobile issues immediately |
| Core Web Vitals | GOOD | NEEDS_IMPROVEMENT | POOR | Optimize performance |
Interpreting Combined Signals
Traffic Quality Matrix
High Engagement
│
┌──────────────┼──────────────┐
│ HIDDEN GEM │ STAR │
│ Low traffic │ High traffic│
│ High quality│ High quality│
│ → Promote │ → Maintain │
Low ───────┼──────────────┼──────────────┼─── High
Traffic │ │ │ Traffic
│ UNDERPERFORM│ LEAKY │
│ Low traffic │ High traffic│
│ Low quality │ Low quality │
│ → Rework │ → Optimize │
└──────────────┼──────────────┘
│
Low Engagement
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.
- 2d ago First seen · 200 lines · 21 tokens per session scan A 0ebb066ce383
analytics-interpretation is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 1,493 once invoked, about $0.0001 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 2026-08-30.
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