heard — security grade SAFE, quality 59/100

Security audit verdict: SAFE · quality 59/100

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 heardlabs · Claude Skill · ★ 190

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

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

About heard

Your coding agent has a voice now. Heard speaks your coding agent's outputs so you can get up, walk around, and still know what's going on. Think Jarvis for your coding agents — a voice layer for Claude Code, Codex, OpenClaw, Hermes, and any AI workflow: your agent narrates its work out loud, you talk back hands-free. Pairs with — or replaces — input tools like Wispr Flow: on Power, Wispr Flow-style dictation is built in (push-to-talk + ambient voice typing, on-device speech-to-text), and Heard speaks everything your agent says back. <a href="https://github.com/he

ai-agentsai-voiceclaude-codecodexdeveloper-toolsdictationhands-freehermesjarvismacos

Quick Facts

Stars190
Forks25
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score59.2843097015817/100
Open Issues5
Last Updated2026-10-03
Created2026-04-24
Platformsclaude-code, codex, python
Est. Tokens~16k

Compatible Skills

These tools work well together with heard for enhanced workflows:

  • jarvis-ai-assistant — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • ZeusHammer — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • PersonalJarvis — semantic(0.47)+complementary+rare_topics+same_lang+shared_platform (65%)
  • yapsnap — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

heard alternative? Top 6 similar tools

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

  • tapq by spaceamoeba-t · ⭐ 217

    Multi-modal voice agent for your AI agents. Talk with Claude Code, Codex, and others by voice: answer their pr

  • PersonalJarvis by PersonalJarvis · ⭐ 94

    Your AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your

  • kesha-voice-kit by drakulavich · ⭐ 76

    Give your tools a voice — speech to text and back, 25 languages, up to ~19× faster than Whisper. On your machi

  • ZeusHammer by pengrambo3-tech · ⭐ 70

    ZeusHammer - AI Super Agent with Local Brain, Voice Interaction & Three-Tier Memory

  • kindly-web-search-mcp-server by Shelpuk-AI-Technology-Consulting · ⭐ 395

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

  • DashClaw by ucsandman · ⭐ 308

    Remote approvals, policy checks, and execution evidence for unattended AI agents.

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Frequently Asked Questions

What is heard?

heard is Jarvis for your coding agents — the voice layer for Claude Code, Codex, OpenClaw, Hermes & any AI workflow. Your agent speaks; you talk back hands-free.. It is categorized as a Claude Skill with 190 GitHub stars.

What programming language is heard written in?

heard is primarily written in Python. It covers topics such as ai-agents, ai-voice, claude-code.

How do I install or use heard?

You can find installation instructions and usage details in the heard GitHub repository at github.com/heardlabs/heard. The project has 190 stars and 25 forks, indicating an active community.

What license does heard use?

heard is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to heard?

The top alternatives to heard on Agent Skills Hub include tapq, PersonalJarvis, kesha-voice-kit. 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 Claude Skill tools