by mdowis · MCP Server · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install "git+https://github.com/mdowis/anansi"
pip install "anansi-scraper[tls] @ git+https://github.com/mdowis/anansi"Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 112 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Last Updated | 2026-09-02 |
| Created | 2026-05-14 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~20k |
The spider that learns. Every web scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without your involvement. When a site changes its layout, Anansi finds the data anyway and remembers the fix: CSS selectors are scored by confidence and healed automatically.
These tools work well together with anansi for enhanced workflows:
Looking for a anansi alternative? If you're comparing anansi with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: