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 JayPokale · Claude Skill · ★ 471
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Chisle safe to install? View the security audit →
Chisle Your AI talks less, builds less, reads less, and says more. Like a senior dev who bills by the syllable. The only tool in this class that publishes the runs where it lost. 44% of a bare model's output tokens on coding prompts · 9 agents · zero dependencies · one command chisle.jaypokale.me is the site version of this RE
| Stars | 471 |
| Forks | 30 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.7522426628497/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-30 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~20k |
These tools work well together with Chisle for enhanced workflows:
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Chisle is Cut your AI coding agent's token bill on three axes: terse prose, YAGNI-first code, and tool-output compression. Claude Code, Pi, Cursor, Codex, Gemini + 4 more. Zero deps, published benchmarks includ. It is categorized as a Claude Skill with 471 GitHub stars.
Chisle is primarily written in JavaScript. It covers topics such as anthropic, caveman, caveman-alternative.
You can find installation instructions and usage details in the Chisle GitHub repository at github.com/JayPokale/Chisle. The project has 471 stars and 30 forks, indicating an active community.
Chisle is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Chisle on Agent Skills Hub include quint-code, claudepro-directory, awesome-ai-agent-skills. 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: