by jaredrhod · Claude Skill · ★ 95
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/jaredrhod/backtalkTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 95 |
| Forks | 101 |
| Language | Python |
| Category | Claude Skill |
| License | AGPL-3.0 |
| Quality Score | 55/100 |
| Open Issues | 53 |
| Last Updated | 2026-08-30 |
| Created | 2026-08-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
backtalk Never used Claude Code? Start at jaredrhod.com: pick your situation and it routes you to the right path. Runs on: Claude Code only; the voice is built on Claude's agent SDK. The $20 Pro plan is enough. Talk to your Claude Code agent out loud.
These tools work well together with backtalk for enhanced workflows:
Looking for a backtalk alternative? If you're comparing backtalk 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.
ZeusHammer - AI Super Agent with Local Brain, Voice Interaction & Three-Tier Memory
Local, open-source (Apache 2.0) voice layer for Claude Code and Codex on macOS that reads your coding agent's
An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul
Autonomous Engineering
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Embeddings are created
Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git
Explore other popular claude skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: