PasClaw — security grade SAFE, quality 52/100

Security audit verdict: SAFE · quality 52/100

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 FMXExpress · Codex Skill · ★ 59

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

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About PasClaw

PasClaw PasClaw is an ultra-lightweight personal AI agent written in Delphi Object Pascal. It is a Delphi/FPC port inspired by picoclaw, with a command-line assistant, tool calling, MCP integration, an HTTP gateway, an OpenAI-compatible API surface, a small embedded web UI, scheduled tasks, skills, and channel integrations. The main program lives at . It initializes terminal color handling, prints the banner, applies timezone configuration, and dispatches into the command tree implemented under . Quick start Docker — the fastest way to try PasClaw without building anything locally: The image's entrypoint runs for you, so pass only the subcommand (, , …) — or nothing, which starts the gateway. The gateway's web UI has a first-boot onboarding wizard, so you pick a provider and paste a key in the browser — nothing on the command line. To keep config + workspace across runs, add (the container's , owned by its user). See for more. (This runs

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Quick Facts

Stars59
Forks11
LanguagePascal
CategoryCodex Skill
LicenseMIT
Quality Score52.0310638192928/100
Open Issues8
Last Updated2026-09-10
Created2026-05-26
Platformsbrowser
Est. Tokens~15k

Compatible Skills

These tools work well together with PasClaw for enhanced workflows:

  • MakerAi — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop (65%)
  • dext — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop (65%)
  • dext — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop (65%)
  • Delphi-MCP-Server — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop (60%)

PasClaw alternative? Top 6 similar tools

Looking for a PasClaw alternative? If you're comparing PasClaw with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • facio by placet-io · ⭐ 76

    A proactive AI agent for secure, traceable, human-in-the-loop task execution over long-running workflows.

  • awesome-hermes-agent-zh by zcweah1981 · ⭐ 54

    Hermes Agent中文站- 中文实战入口:上手路径、国内落地、OpenClaw 共存迁移、排障参考与可下载方案包。

  • Canopy by kwalus · ⭐ 295

    A local-first, encrypted Slack/Discord alternative built for the agentic era. AI agents, such as openclaw, joi

  • openlegion by openlegion-ai · ⭐ 116

    Secure autonomous AI agent framework and platform. Build AI teams by describing what you want. Orchestrate age

  • MakerAi by gustavoeenriquez · ⭐ 209

    The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and u

  • os-ai-computer-use by 777genius · ⭐ 181

    AI controls your OS. OS AI Computer Use, OS and API agnostic. For now on OpenAI and Anthropic API. Desktop app

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Frequently Asked Questions

What is PasClaw?

PasClaw is Ultra-lightweight native AI agent framework written entirely in Object Pascal for Delphi and Free Pascal, designed for performance, portability, and extensibility.. It is categorized as a Codex Skill with 59 GitHub stars.

What programming language is PasClaw written in?

PasClaw is primarily written in Pascal. It covers topics such as agent, agentic-ai, ai.

How do I install or use PasClaw?

You can find installation instructions and usage details in the PasClaw GitHub repository at github.com/FMXExpress/PasClaw. The project has 59 stars and 11 forks, indicating an active community.

What license does PasClaw use?

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

What are the best alternatives to PasClaw?

The top alternatives to PasClaw on Agent Skills Hub include facio, awesome-hermes-agent-zh, Canopy. 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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