fortify
FeaturedSystematic ablation study runner. After research:run finds improvements, fortify identifies component candidates from git diff + diary, creates isolated git worktrees per ablation (main repo never modified), runs metric+guard in each worktree, ranks component importance, and optionally generates reviewer Q&A calibrated to a target venue.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- Borda
- Repository
- Borda/AI-Rig
- Created
- 7 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
fortify
Improve existing code without changing behavior — split large functions, backfill tests, simplify. Use when asked to "fortify", "make robust", "bulletproof", "strengthen", "add missing tests", "split functions", "simplify", "clean up", or "reduce complexity". Don't use for new features (/tdd), security (/harden), or PR review.
run
Sustained metric-improvement loop with atomic commits, auto-rollback, and experiment logging. Iterates with specialist agents, commits atomically, auto-rolls back on regression. Accepts a program.md file path. Supports --resume, --team, --colab, --codex, --researcher, --architect, --journal, --hypothesis.
plan
Interactive wizard that scans the codebase, proposes a metric/guard/agent config, and writes a program.md run spec. Also runs cProfile on a file path to surface bottlenecks before prompting for optimization goal.