thoughtbox: Intention ledger for agents. Evaluate AI's decisions against its decision-making

by Kastalien-Research · MCP Server · ★ 65

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

How to install thoughtbox

git clone https://github.com/Kastalien-Research/thoughtbox.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

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. Full audit →

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.

ai-agentsclaudeclaude-codeclaudecodemcpmodel-context-protocolobservabilityreasoningsequential-thinkingsequentialthinking

Quick Facts

Stars65
Forks20
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues26
Last Updated2026-07-15
Created2025-10-20
Platformsclaude-code, mcp, node
Est. Tokens~17k

About thoughtbox

Thoughtbox Multi-agent collaborative reasoning that's auditable. Thoughtbox is an MCP server for structured, multi-agent reasoning, with a companion web app for workspace and inspection flows. Every step is recorded as a structured thought in a persistent reasoning ledger that can be visualized, exported, and analyzed. Runtime modes: Local development can use filesystem or in-memory storage.

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How this security grade is produced

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:

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