The 7 Laws of AI Agent Discipline for Claude Code. Stops your agent from skipping research, claiming 'done' without v...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if continuous-improvement belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/naimkatiman/continuous-improvementRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/naimkatiman/continuous-improvementNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ continuous-improvement/ ← installs here └─ settings.json
The 7 Laws of AI Agent Discipline for Claude Code. Stops your agent from skipping research, claiming 'done' without verifying, and repeating yesterday's mistakes. 14 enforcement skills, gating hooks, the Mulahazah instinct engine with friction-harvest, and a GitHub Action linter. Beginner: /plugin install. Expert: adds MCP tools.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 10, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.