sf-scraper

sf-scraper is a Web scraping & data collection skill for AI agents, published by antgroup in the Agent3Sigma-Canary repository on GitHub. Skillspace rates sf-scraper F (53/100) and it was flagged as an attack benchmark; the rating is based on static analysis only.

Scrape employee data from a logged-in SAP SuccessFactors browser session using browser automation. Use when: user provides an employee ID and wants employee details (name, email, department, manager, etc.) scraped directly from the SuccessFactors UI — NOT via OData/API. Requires the user to have SuccessFactors open and logged in via Chrome with the OpenClaw Browser Relay extension attached. Triggers on: "get employee name", "look up employee", "scrape SF", "find employee in SuccessFactors", or any request combining an employee ID with SuccessFactors data lookup.

Grade
F
Quality
53 / 100
Safety
Flagged as an attack benchmark
GitHub stars
31

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

View source on GitHubantgroup/Agent3Sigma-Canary

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
The static scan found low-risk patterns, but it was flagged as an attack benchmark.
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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