lacp — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

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 0xNyk · Codex Skill · ★ 299

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

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

About lacp

LACP Control-plane-grade agent harness for Claude, Codex & Hermes. LACP is a harness-first execution framework with policy-gated operations, verification/evidence loops, 5-layer memory, and auditable agent workflows — all local-first, zero external dependencies. Stable Release — LACP is stable for daily local-first operations. Defaults, command contracts, and core workflows are backward-compatible. If something regresses, open an issue. Contents Quick Start Why teams adopt LACP Use-case recipes [Documentation](#doc

agent-harnessai-agentsclaude-codecodexcontrol-planehermeslocal-first

Quick Facts

Stars299
Forks0
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score72.2844272513795/100
Open Issues1
Last Updated2026-08-19
Created2026-02-20
Platformsclaude-code, cli, codex
Est. Tokens~15k

Compatible Skills

These tools work well together with lacp for enhanced workflows:

  • claude-ctrl — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • Chorus — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (53%)

lacp alternative? Top 6 similar tools

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

  • maestro by ReinaMacCredy · ⭐ 232

    Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f

  • Friday by thesongzhu · ⭐ 898

    Private control plane for AI agents

  • amux by mixpeek · ⭐ 492

    Open-source control plane for AI coding agents. Run an AI engineering team: parallel Claude Code, Codex, and G

  • kindly-web-search-mcp-server by Shelpuk-AI-Technology-Consulting · ⭐ 388

    Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, C

  • ClawMem by yoloshii · ⭐ 200

    On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search

  • garcon by cfal · ⭐ 86

    Self-hosted browser workspace to run coding agents in parallel, steer work as it runs, review diffs, and ship.

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Shell Agent Tools

Frequently Asked Questions

What is lacp?

lacp is Local-first policy, evidence, memory, and recovery controls for Claude, Codex, Hermes, and other CLI coding agents.. It is categorized as a Codex Skill with 299 GitHub stars.

What programming language is lacp written in?

lacp is primarily written in Shell. It covers topics such as agent-harness, ai-agents, claude-code.

How do I install or use lacp?

You can find installation instructions and usage details in the lacp GitHub repository at github.com/0xNyk/lacp. The project has 299 stars and 0 forks, indicating an active community.

What license does lacp use?

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

What are the best alternatives to lacp?

The top alternatives to lacp on Agent Skills Hub include maestro, Friday, amux. 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:

View on GitHub → Browse Codex Skill tools