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 | $0.00082 | $0.01833 |
| Sonnet 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 9d 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.
- 9d 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 (652 stars, last pushed 3d ago), licensed MIT. It adds 164 tokens to every session and 3,665 once invoked, about $0.0008 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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