docs: add Vale vocabulary for Strix product/security terms

Co-Authored-By: Alex Schapiro <bearsyankees@gmail.com>

.pre-commit-config.yaml

@@ -11,7 +11,7 @@ repos:
 
   # MyPy for static type checking
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.17.1
+    rev: v1.16.0
     hooks:
       - id: mypy
         additional_dependencies: [

README.md

@@ -275,3 +275,5 @@ Strix builds on the incredible work of open-source projects like [LiteLLM](https
 > Only test apps you own or have permission to test. You are responsible for using Strix ethically and legally.
 
 </div>
+
+![](https://static.scarf.sh/a.png?x-pxid=a0ba15dd-a205-4a54-95d6-7814e9ae6b61)

docs/advanced/configuration.mdx

@@ -3,6 +3,10 @@ title: "Configuration"
 description: "Environment variables for Strix"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Configure Strix using environment variables or a config file.
 
 ## LLM Configuration

docs/advanced/skills.mdx

@@ -3,6 +3,10 @@ title: "Skills"
 description: "Specialized knowledge packages that enhance agent capabilities"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Skills are structured knowledge packages that give Strix agents deep expertise in specific vulnerability types, technologies, and testing methodologies.
 
 ## The Idea

docs/cloud/overview.mdx

@@ -3,6 +3,10 @@ title: "Introduction"
 description: "Managed security testing without local setup"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Skip the setup. Run Strix in the cloud at [app.strix.ai](https://app.strix.ai).
 
 ## Features

docs/contributing.mdx

@@ -3,6 +3,10 @@ title: "Contributing"
 description: "Contribute to Strix development"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Development Setup
 
 ### Prerequisites

docs/index.mdx

@@ -3,6 +3,10 @@ title: "Introduction"
 description: "Open-source AI hackers to secure your apps"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix are autonomous AI agents that act like real hackers—they run your code dynamically, find vulnerabilities, and validate them with proof-of-concepts. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.
 
 <Frame>

docs/integrations/ci-cd.mdx

@@ -3,6 +3,10 @@ title: "CI/CD Integration"
 description: "Run Strix in any CI/CD pipeline"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix runs in headless mode for automated pipelines.
 
 ## Headless Mode

docs/integrations/github-actions.mdx

@@ -3,6 +3,10 @@ title: "GitHub Actions"
 description: "Run Strix security scans on every pull request"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Integrate Strix into your GitHub workflow to catch vulnerabilities before they reach production.
 
 ## Basic Workflow

docs/llm-providers/anthropic.mdx

@@ -3,6 +3,10 @@ title: "Anthropic"
 description: "Configure Strix with Claude models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/azure.mdx

@@ -3,6 +3,10 @@ title: "Azure OpenAI"
 description: "Configure Strix with OpenAI models via Azure"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/bedrock.mdx

@@ -3,6 +3,10 @@ title: "AWS Bedrock"
 description: "Configure Strix with models via AWS Bedrock"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/local.mdx

@@ -3,6 +3,10 @@ title: "Local Models"
 description: "Run Strix with self-hosted LLMs for privacy and air-gapped testing"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Running Strix with local models allows for completely offline, privacy-first security assessments. Data never leaves your machine, making this ideal for sensitive internal networks or air-gapped environments.
 
 ## Privacy vs Performance

docs/llm-providers/novita.mdx

@@ -3,6 +3,10 @@ title: "Novita AI"
 description: "Configure Strix with Novita AI models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 [Novita AI](https://novita.ai) provides fast, cost-efficient inference for open-source models via an OpenAI-compatible API.
 
 ## Setup

docs/llm-providers/openai.mdx

@@ -3,6 +3,10 @@ title: "OpenAI"
 description: "Configure Strix with OpenAI models"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Setup
 
 ```bash

docs/llm-providers/openrouter.mdx

@@ -3,6 +3,10 @@ title: "OpenRouter"
 description: "Configure Strix with models via OpenRouter"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 [OpenRouter](https://openrouter.ai) provides access to 100+ models from multiple providers through a single API.
 
 ## Setup

docs/llm-providers/overview.mdx

@@ -3,6 +3,10 @@ title: "Overview"
 description: "Configure your AI model for Strix"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix uses [LiteLLM](https://docs.litellm.ai/docs/providers) for model compatibility, supporting 100+ LLM providers.
 
 ## Configuration

docs/llm-providers/vertex.mdx

@@ -3,6 +3,10 @@ title: "Google Vertex AI"
 description: "Configure Strix with Gemini models via Google Cloud"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Installation
 
 Vertex AI requires the Google Cloud dependency. Install Strix with the vertex extra:

docs/quickstart.mdx

@@ -3,6 +3,10 @@ title: "Quick Start"
 description: "Install Strix and run your first security scan"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Prerequisites
 
 - Docker (running)

docs/snippets/scarf-pixel.mdx

@@ -0,0 +1,10 @@
+export const ScarfPixel = () => (
+  <img
+    referrerPolicy="no-referrer-when-downgrade"
+    src="https://static.scarf.sh/a.png?x-pxid=a0ba15dd-a205-4a54-95d6-7814e9ae6b61"
+    alt=""
+    width="1"
+    height="1"
+    style={{ position: "absolute", width: 0, height: 0, opacity: 0, pointerEvents: "none" }}
+  />
+);

docs/styles/config/vocabularies/Mintlify/accept.txt

@@ -0,0 +1,34 @@
+agentic
+Caido
+deobfuscation
+deserialization
+Devstral
+[Dd]ocstrings
+exfiltration
+failover
+ffuf
+Firestore
+frontmatter
+fuzzer
+gcloud
+hardcoded
+Kimi
+Langfuse
+LLMs?
+[Mm]isconfigurations?
+Novita
+Ollama
+pentest(ers|ing)?
+pipx
+pull_request
+Pydantic
+spidering
+SQLi
+[Ss]trix
+Supabase
+traceback
+UIs
+untrusted
+uv
+vulns
+[Ww]ordlist

docs/tools/browser.mdx

@@ -3,6 +3,10 @@ title: "Browser"
 description: "Playwright-powered Chrome for web application testing"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix uses a headless Chrome browser via Playwright to interact with web applications exactly like a real user would.
 
 ## How It Works

docs/tools/overview.mdx

@@ -3,6 +3,10 @@ title: "Agent Tools"
 description: "How Strix agents interact with targets"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix agents use specialized tools to test your applications like a real penetration tester would.
 
 ## Core Tools

docs/tools/proxy.mdx

@@ -3,6 +3,10 @@ title: "HTTP Proxy"
 description: "Caido-powered proxy for request interception and replay"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix includes [Caido](https://caido.io), a modern HTTP proxy built for security testing. All browser traffic flows through Caido, giving the agent full control over requests and responses.
 
 ## Capabilities

docs/tools/sandbox.mdx

@@ -3,6 +3,10 @@ title: "Sandbox Tools"
 description: "Pre-installed security tools in the Strix container"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix runs inside a Kali Linux-based Docker container with a comprehensive set of security tools pre-installed. The agent can use any of these tools through the [terminal](/tools/terminal).
 
 ## Reconnaissance

docs/tools/terminal.mdx

@@ -3,6 +3,10 @@ title: "Terminal"
 description: "Bash shell for running commands and security tools"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix has access to a persistent bash terminal running inside the Docker sandbox. This gives the agent access to all [pre-installed security tools](/tools/sandbox).
 
 ## Capabilities

docs/usage/cli.mdx

@@ -3,6 +3,10 @@ title: "CLI Reference"
 description: "Command-line options for Strix"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 ## Basic Usage
 
 ```bash

docs/usage/instructions.mdx

@@ -3,6 +3,10 @@ title: "Custom Instructions"
 description: "Guide Strix with custom testing instructions"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Use instructions to provide context, credentials, or focus areas for your scan.
 
 ## Inline Instructions

docs/usage/scan-modes.mdx

@@ -3,6 +3,10 @@ title: "Scan Modes"
 description: "Choose the right scan depth for your use case"
 ---
 
+import { ScarfPixel } from "/snippets/scarf-pixel.mdx";
+
+<ScarfPixel />
+
 Strix offers three scan modes to balance speed and thoroughness.
 
 ## Quick

strix/report/writer.py

@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import csv
-import io
 import json
 import logging
 import tempfile
@@ -59,9 +58,9 @@ def write_vulnerabilities(
     new_reports = [r for r in vulnerability_reports if r["id"] not in saved_vuln_ids]
 
     for report in new_reports:
-        _atomic_write_text(
-            vuln_dir / f"{report['id']}.md",
+        (vuln_dir / f"{report['id']}.md").write_text(
             render_vulnerability_md(report),
+            encoding="utf-8",
         )
         saved_vuln_ids.add(report["id"])
 
@@ -70,21 +69,20 @@ def write_vulnerabilities(
         key=lambda r: (_SEVERITY_ORDER.get(r["severity"], 5), r["timestamp"]),
     )
     csv_path = run_dir / "vulnerabilities.csv"
-    csv_buf = io.StringIO()
-    fieldnames = ["id", "title", "severity", "timestamp", "file"]
-    csv_writer = csv.DictWriter(csv_buf, fieldnames=fieldnames, lineterminator="\r\n")
-    csv_writer.writeheader()
-    for report in sorted_reports:
-        csv_writer.writerow(
-            {
-                "id": report["id"],
-                "title": report["title"],
-                "severity": report["severity"].upper(),
-                "timestamp": report["timestamp"],
-                "file": f"vulnerabilities/{report['id']}.md",
-            },
-        )
-    _atomic_write_text(csv_path, csv_buf.getvalue())
+    with csv_path.open("w", encoding="utf-8", newline="") as f:
+        fieldnames = ["id", "title", "severity", "timestamp", "file"]
+        writer = csv.DictWriter(f, fieldnames=fieldnames)
+        writer.writeheader()
+        for report in sorted_reports:
+            writer.writerow(
+                {
+                    "id": report["id"],
+                    "title": report["title"],
+                    "severity": report["severity"].upper(),
+                    "timestamp": report["timestamp"],
+                    "file": f"vulnerabilities/{report['id']}.md",
+                },
+            )
 
     _atomic_write_text(
         run_dir / "vulnerabilities.json",