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 Affitor/affiliate-skills --skill traffic-analyzergit clone --depth 1 https://github.com/Affitor/affiliate-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/affitor/affiliate-skills/traffic-analyzer)<a href="https://agentmods.dev/skills/affitor/affiliate-skills/traffic-analyzer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/traffic-analyzer/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/affitor/affiliate-skills/traffic-analyzer"><img src="https://agentmods.dev/badge/skills/affitor/affiliate-skills/traffic-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00164 | $0.03665 |
| Opus 5.5 | $0.00066 | $0.01466 |
| Sonnet 5.5 | $0.00033 | $0.00733 |
| Haiku 4.5 | $0.00016 | $0.00366 |
Grade A, and why
traffic-analyzer 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 1mo 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
1 near-identical copy found in the catalogue:
- traffic-analyzer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Traffic Analyzer
Analyze website traffic, engagement, and traffic sources for any domain. Goes beyond raw data — scores the domain, interprets what the traffic patterns mean for affiliate promotion, and recommends whether the program is worth your time.
A tool returns numbers. This skill returns a verdict.
Use cases:
- Is this affiliate program's website healthy? (High traffic = more brand awareness = easier conversions)
- Where does a competitor get their traffic? (Find channels they're ignoring)
- Compare 2-3 affiliate programs by advertiser website strength
- Validate a niche by checking traffic to the top programs in it
Stage
This skill belongs to Stage S1: Research
When to Use
- Before committing to promote an affiliate program — check if the advertiser is legit
- When comparing multiple programs — traffic is a proxy for brand strength
- When
competitor-spyidentifies competitor sites — analyze their traffic sources - When evaluating a niche — check if the top programs have healthy traffic
- When an advertiser claims "millions of users" — verify with data
Input Schema
domains: string[] # (required) 1-5 domains to analyze — "heygen.com", "synthesia.io"
compare: boolean # (optional, default: true if 2+ domains) Side-by-side comparison
focus: string # (optional, default: "affiliate")
# "affiliate" — score from promoter perspective
# "competitor" — analyze as a competitor site
# "advertiser" — evaluate advertiser health
Workflow
Step 1: Gather Traffic Data
With SimilarWeb API (see shared/references/social-data-providers.md):
If social_data_config.similarweb is configured:
- Call SimilarWeb API for each domain
- Returns: global rank, country rank, visits, pages/visit, avg duration, bounce rate, traffic sources
Without API (web_search fallback):
For each domain:
web_search "[domain] traffic similarweb"→ often shows rank and visit estimates in snippetsweb_search "[domain] site traffic statistics"→ third-party reportsweb_search "site:[domain]"→ Google index count as proxy for content depthweb_search "[domain] alexa rank"OR"[domain] semrush traffic"→ alternative sourcesweb_fetch "https://www.similarweb.com/website/[domain]/"→ extract visible data from SimilarWeb free page (may be limited)
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.
- 1mo ago First seen · 357 lines · 164 tokens per session scan A f8e353290113
traffic-analyzer is a skill published in the GitHub repository Affitor/affiliate-skills (747 stars, last pushed 8d ago), licensed MIT. It adds 164 tokens to every session and 3,665 once invoked, about $0.0007 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 2026-08-30.
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Analyze website traffic, global rank, engagement metrics, and traffic sources for any domain. Use this skill to evaluate affiliate program websites, compare competitor traffic, assess advertiser strength, or understand where an audience comes from. Triggers on: "analyze traffic for [domain]", "how much traffic does…
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