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
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
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.
fortify
Testing infrastructure, coverage, and verified test quality for any project. Detects stack, installs testing ecosystem, audits untested critical paths, writes thorough tests weighted toward error paths, runs them, verifies via mutation testing. Use when user says '/fortify', 'add tests', 'set up testing', 'I need tests', 'test this', or wants to audit coverage. NOT for: running existing tests directly or improving prompt quality.