Scan Report
5 /100
attribuly-dtc-analyst
A comprehensive AI marketing partner for DTC ecommerce powered by Attribuly first-party data
Documentation-only marketing analytics skill with no executable code, fully declared behavior, and legitimate API usage.
Safe to install
No action required. The skill is safe to use.
| Resource | Declared | Inferred | Status | Evidence |
|---|---|---|---|---|
| Filesystem | NONE | NONE | — | No file operations in any markdown files |
| Network | READ | READ | ✓ Aligned | SKILL.md declares API calls to data.api.attribuly.com |
| Shell | NONE | NONE | — | No shell execution in documentation |
| Environment | READ | READ | ✓ Aligned | SKILL.md declares ATTRIBULY_API_KEY usage |
| Skill Invoke | NONE | READ | ✓ Aligned | Skill chaining documented in SKILL.md |
15 findings
Medium External URL 外部 URL
https://attribuly.com README.ja.md:73 Medium External URL 外部 URL
https://attribuly.com/pricing/ README.ja.md:83 Medium External URL 外部 URL
https://attribuly.sg.larksuite.com/share/base/form/shrlgSK0KaktsDwbTJqPkjDczCd README.ja.md:128 Medium External URL 外部 URL
https://data.api.attribuly.com README.ja.md:180 Medium External URL 外部 URL
https://img.shields.io/badge/Deploy%20to-Attribuly%20Cloud-blue?style=for-the-badge README.md:5 Medium External URL 外部 URL
https://app.attribuly.com/cherry/#/ally-claw README.md:5 Medium External URL 外部 URL
https://youtu.be/JDat6bls5Wk?si=jgZtnRZnl39VqFj3 README.md:7 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/all-attribution/get-list references/attribution-discrepancy.md:235 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/get/setting-goals references/audience-optimization.md:69 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/get/ad-analysis/list references/audience-optimization.md:407 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/all-attribution/get-list-sum references/bid-strategy-optimization.md:437 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/get/web-analysis/list references/funnel-analysis.md:237 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/get/connection/source references/google-ads-performance.md:511 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/source/google-query references/google-ads-performance.md:548 Medium External URL 外部 URL
https://data.api.attribuly.com/v2-4-2/api/source/meta-query references/meta-ads-performance.md:629 File Tree
15 files · 232.3 KB · 6042 lines Markdown 15f · 6042L
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references
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attribution-discrepancy.md
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audience-optimization.md
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bid-strategy-optimization.md
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budget-optimization.md
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daily-marketing-pulse.md
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funnel-analysis.md
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google-ads-performance.md
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google-creative-analysis.md
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landing-page-analysis.md
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meta-ads-performance.md
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│ └─
weekly-marketing-performance.md
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README.ja.md
Markdown
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README.md
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README.zh-CN.md
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└─
SKILL.md
Markdown
Security Positives
✓ No executable scripts present - pure documentation package
✓ All API endpoints and behavior fully declared in SKILL.md
✓ No credential exfiltration - API key used only for authentication
✓ No shell execution, subprocess, or system command usage
✓ No sensitive path access (no ~/.ssh, ~/.aws, .env file access)
✓ No base64, eval, or obfuscated code patterns
✓ No remote script execution (no curl|bash or wget|sh)
✓ Transparent skill chaining documented in decision framework
✓ Human-in-the-loop constraint documented for budget changes