No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by fabio-rovai · MCP Server · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is brain-in-the-fish safe to install? View the security audit →
Brain in the Fish Score any document. Prove every claim. What It Does Give it a document. Get back a score, a knowledge graph, and proof. Every claim the system makes about your document is backed by an exact quote from the text. If the quote doesn't exist in the document, the structural score drops and the gate flags it. Source quote verification built into the pipeline. Each node's quote is checked against the original document. Unverified quotes penalise the structural score — the system catches its own sloppy decomposition. Who It's For Fluent writing with no argument, fabricated ci
| Stars | 83 |
| Forks | 15 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.3813794940949/100 |
| Last Updated | 2026-08-11 |
| Created | 2026-03-23 |
| Platforms | mcp, rust |
| Est. Tokens | ~25k |
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brain-in-the-fish is Score any document. Prove every claim.. It is categorized as a MCP Server with 83 GitHub stars.
brain-in-the-fish is primarily written in Rust. It covers topics such as ai, anti-hallucination, audit-trail.
You can find installation instructions and usage details in the brain-in-the-fish GitHub repository at github.com/fabio-rovai/brain-in-the-fish. The project has 83 stars and 15 forks, indicating an active community.
brain-in-the-fish is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to brain-in-the-fish on Agent Skills Hub include ontosphere, mykg, session-graph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: