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 withoneai · Agent Tool · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pica safe to install? View the security audit →
Pica Community Edition - Ensuring outcomes for the AI-first world Website · Documentation · Dashboard · Changelog · X · LinkedIn Note: This repository is the Community Edition of Pica and is no longer actively maintained. Pica has transitioned to a private, cloud-hosted platform with the latest features and updates. For the most up-to-date experience, visit app.picaos.com. Connect your AI agents to 200+ integrations and 25,000+ actions with Pica's managed cloud platform. Secure authentication, verified action knowledge, and developer-friendly SDKs — all managed for you at app.picaos.com. Getting Started Get up and running with Pica in minutes. What we'll do: Install the Pica CLI Connect your Gmail account Install the Pica Skill Step 1: Install the Pica CLI Install the Pica CLI globally: Then initialize Pica to configure and connect it to your
| Stars | 1,486 |
| Forks | 93 |
| Language | Rust |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 70.9462394813243/100 |
| Open Issues | 9 |
| Last Updated | 2026-08-19 |
| Created | 2024-04-05 |
| Platforms | rust |
| Est. Tokens | ~22k |
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pica is The community edition of Pica, the agentic tooling platform.. It is categorized as a Agent Tool with 1.5k GitHub stars.
pica is primarily written in Rust. It covers topics such as agentic-ai, api, integrations.
You can find installation instructions and usage details in the pica GitHub repository at github.com/withoneai/pica. The project has 1.5k stars and 93 forks, indicating an active community.
pica is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to pica on Agent Skills Hub include awesome-hermes-agent, cursor-talk-to-figma-mcp, sdk-python. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: