penecho — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 erickong · Codex Skill · ★ 380

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

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

About penecho

Think with AI beyond the chat box. PenEcho is a shared canvas where handwriting, equations, diagrams, and spatial context become part of the conversation. Think on the canvas Put a question, equation, diagram, or half-formed idea anywhere on the canvas and pause. PenEcho reads your marks and their spatial relationships, then answers beside them. You can work through a problem without translating every step into a chat message or rebuilding it with rigid diagram tools. Get answers, hints, explanations, continuations, formulas, plots, and diagrams directly on the canvas. Move, resize, accept, or discard every AI draft before it becomes part of your work. Draw naturally with a stylus or mouse, then pan and zoom across a sparse canvas. Draw a freehand lasso around confirmed ink to move, resize, or recolor it locally; accepting or cancelling a selection

aicanvasclaudecodexeducationhandwritingnodejsvisual-thinking

Quick Facts

Stars380
Forks48
LanguageJavaScript
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score66.4296697094551/100
Open Issues4
Last Updated2026-07-20
Created2026-07-14
Platformsclaude-code, codex, node
Est. Tokens~17k

Compatible Skills

These tools work well together with penecho for enhanced workflows:

  • mcp-canvas-lms — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (63%)
  • blcaptain-style-skill — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • rabbithole — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

penecho alternative? Top 6 similar tools

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

  • opencove by DeadWaveWave · ⭐ 1.6k

    Your infinite canvas workspace for agents, tasks, knowledge, and research. An infinite canvas for Claude Code,

  • agnix by agent-sh · ⭐ 421

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

  • ClaudeR by IMNMV · ⭐ 337

    Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automa

  • deepcontext-mcp by Wildcard-Official · ⭐ 275

    DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent

  • MoltBrain by nhevers · ⭐ 253

    Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatical

  • easy-mcp by zcaceres · ⭐ 196

    Absurdly easy Model Context Protocol Servers in Typescript

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Frequently Asked Questions

What is penecho?

penecho is Think with AI beyond the chat box. A shared canvas for handwriting, equations, diagrams, and spatial reasoning.. It is categorized as a Codex Skill with 380 GitHub stars.

What programming language is penecho written in?

penecho is primarily written in JavaScript. It covers topics such as ai, canvas, claude.

How do I install or use penecho?

You can find installation instructions and usage details in the penecho GitHub repository at github.com/erickong/penecho. The project has 380 stars and 48 forks, indicating an active community.

What license does penecho use?

penecho is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to penecho?

The top alternatives to penecho on Agent Skills Hub include opencove, agnix, ClaudeR. 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