Prompt-sensei: Local-first prompt coach for Claude Code and Codex that improves prompts, observes prompting habits

by chengzhongwei · Claude Skill · ★ 109

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

How to install Prompt-sensei

git clone https://github.com/chengzhongwei/Prompt-sensei ~/.claude/skills/prompt-sensei
git clone https://github.com/chengzhongwei/Prompt-sensei ~/.codex/skills/prompt-sensei

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 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.

ai-codingclaude-codeclaude-code-skillsclaude-skillscodexdeveloper-toolslocal-firstprompt-engineering

Quick Facts

Stars109
Forks10
LanguageJavaScript
CategoryClaude Skill
LicenseApache-2.0
Quality Score71/100
Last Updated2026-07-13
Created2026-04-25
Platformsclaude-code, codex, node
Est. Tokens~15k

About Prompt-sensei

Prompt Sensei Prompting is becoming one of the most important engineering skills in the AI era. Prompt Sensei helps you improve your prompts while teaching you how to improve. 中文说明 Prompt Sensei is a quiet, local-first prompt coach for Claude Code and Codex, including IDE/plugin environments that can load those skills.

Compatible Skills

These tools work well together with Prompt-sensei for enhanced workflows:

  • claude-plugins — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • session-orchestrator — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ai-agent-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • skillboss-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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:

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