AI remembers, you find. Long-term memory + project map for any AI coding tool — paste-in prompts or a one-command age...
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.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if wallaby-agent-rules belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Dawncoral/wallaby-agent-rules ~/.claude/skills/wallaby-agent-rulesRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/wallaby-agent-rulesNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ wallaby-agent-rules/ ← installs here ├─ agents/ └─ settings.json
AI remembers, you find. Long-term memory + project map for any AI coding tool — paste-in prompts or a one-command agent skill, five plain files, zero dependencies. Now with Skill Forge: measured lifecycle governance for the skills themselves.
Source: GitHub repository
Source check: October 14, 2026
Upstream commit: October 14, 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.