Valhuntir — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 AppliedIR · MCP Server · ★ 106

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Valhuntir safe to install? View the security audit →

About Valhuntir

Valhuntir Valhuntir turns a single incident response analyst into the manager of an agentic AI incident response team. A host of MCP tools allows the AI to quickly ingest, process, and analyze massive amounts of digital forensic artifacts while keeping the human in control of the investigation and decision making process. Curated forensic knowledge bases, guidance and context hints, and processing suggestions are built into the system, but ultimately the human examiner drives the response. Platform Documentation · CLI Reference Important Note — While extensively tested, this is a new platform. ALWAYS verify results and guide the investigative process. If you just tell Valhuntir to "Find Evil" it will more than likely hallucinate rather than provide meaningful results. The AI can accelerate, but the human must guide it and review all decisions. Valhuntir — AI-Assisted Forensic Investigation Valhuntir ensures accountability and enforc

ai-forensicsclidfirdigital-forensicsforensicshuman-in-the-loopincident-responsemcp

Quick Facts

Stars106
Forks20
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score63.0783864129567/100
Open Issues54
Last Updated2026-10-04
Created2026-02-19
Platformscli, mcp, python
Est. Tokens~24k

Compatible Skills

These tools work well together with Valhuntir for enhanced workflows:

  • holmesgpt — semantic(0.31)+complementary+rare_topics+same_lang+shared_platform (50%)

Valhuntir alternative? Top 6 similar tools

Looking for a Valhuntir alternative? If you're comparing Valhuntir 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.

  • mulder by calebevans · ⭐ 88

    Agentic DFIR

  • huntkit by assafkip · ⭐ 51

    Investigation toolkit for Claude Code: case management, OSINT, structured analytic techniques, chain-of-custod

  • roam-code by Cranot · ⭐ 517

    Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman

  • agentcontrolplane by humanlayer · ⭐ 486

    ACP is the Agent Control Plane - a distributed agent scheduler optimized for simplicity, clarity, and control.

  • mcp-cli by apify · ⭐ 459

    mcpc is a CLI client for MCP. It supports persistent sessions, stdio/HTTP, OAuth 2.1, JSON output for code mod

  • agnix by agent-sh · ⭐ 439

    The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug

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Frequently Asked Questions

What is Valhuntir?

Valhuntir is Valhuntir CLI — AI-augmented incident response platform. It is categorized as a MCP Server with 106 GitHub stars.

What programming language is Valhuntir written in?

Valhuntir is primarily written in Python. It covers topics such as ai-forensics, cli, dfir.

How do I install or use Valhuntir?

You can find installation instructions and usage details in the Valhuntir GitHub repository at github.com/AppliedIR/Valhuntir. The project has 106 stars and 20 forks, indicating an active community.

What license does Valhuntir use?

Valhuntir is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Valhuntir?

The top alternatives to Valhuntir on Agent Skills Hub include mulder, huntkit, roam-code. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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