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 kostja94/marketing-skills --skill trafficgit clone --depth 1 https://github.com/kostja94/marketing-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/kostja94/marketing-skills/traffic)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/traffic"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/traffic/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/kostja94/marketing-skills/traffic"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/traffic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium YARA Match · line 25 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00089 | $0.01808 |
| Opus 5 | $0.00044 | $0.00904 |
| Sonnet 5 | $0.00018 | $0.00362 |
| Haiku 4.5 | $0.00009 | $0.00181 |
Grade A, and why
traffic-analysis 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- traffic-analysis — 100% identical, 0 lines differ
- traffic-analysis — 100% identical, 0 lines differ
- traffic-analysis — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics: Traffic
Guides website traffic analysis across all channels (organic, paid, social, referral, direct). Covers traffic source attribution, dark traffic identification, and multi-channel reporting.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Traffic sources: Organic, paid, social, referral, direct, email
- Dark traffic: Unattributed visits labeled as "Direct / None"
- Attribution: UTM tagging, segmenting, reporting accuracy
Branded vs. Non-Branded Traffic (Organic)
| Type | Characteristics |
|---|---|
| Branded | Higher CTR, conversion, purchase intent; users closer to funnel bottom |
| Non-branded | Touchpoint with future users; most sites get more non-brand traffic; competition fiercer |
Brand traffic grows over time as brand awareness increases.
Bot Traffic
A large share of traffic can be bot traffic—RPA, search crawlers, spiders, scrapers. Exclude or segment when evaluating real user behavior; use GA4 filters or segments to isolate human traffic.
Traffic Channels
| Channel | Typical Sources | Attribution |
|---|---|---|
| Organic | Google, Bing, other search | Referrer preserved |
| Paid (web) | Google Ads, Meta Ads, etc. | UTM required |
| Paid (app) | App install ads; Google App Campaigns, Apple Search Ads | UTM; in-app events |
| Paid (TV/CTV) | Streaming ads; Hulu, Roku, YouTube TV | UTM for QR/URL; brand lift |
| Social | Public posts (Facebook, LinkedIn, etc.) | Often preserved |
| Referral | External sites, backlinks | Referrer preserved |
| Direct | Typed URL, bookmarks | No referrer |
| Newsletters, campaigns | Often dark without UTM |
Dark Traffic
What It Is
Traffic without clear origin--analytics tools default to "Direct" when referrer is missing. Common causes:
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 · 157 lines · 89 tokens per session scan A 7a3be7d3b923
traffic-analysis is a skill published in the GitHub repository kostja94/marketing-skills (963 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 1,808 once invoked, about $0.0004 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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