shinka-inspect
SakanaAI/ShinkaEvolve/skills/shinka-inspect/SKILL.md
Load top-performing Shinka programs into agent context using `shinka.utils.load_programs_to_df`, and emit a compact Markdown bundle for iteration planning.
Skill1.4k starsChanged 7 months ago
What's in it
- Shinka Inspect Skill
- When to Use
- What it does
- Workflow
- CLI Arguments
- Notes
--- name: shinka-inspect description: Load top-performing Shinka programs into agent context using `shinka.utils.load_programs_to_df`, and emit a compact Markdown bundle for iteration planning. --- # Shinka Inspect Skill Extract the strongest programs from a Shinka run and package them into a context file that coding agents can load directly. ## When to Use Use this skill when: - A run already produced a results directory and SQLite database - You want to inspect top-performing programs before launching the next batch - You want a compact context artifact instead of manually browsing the DB Do not use this skill when: - You still need to scaffold a task (`shinka-setup`) - You need to run evolution batches (`shinka-run`) ## What it does - Uses `shinka.utils.load_programs_to_df` to read program records - Ranks programs by `combined_score` - Selects top-`k` correct programs (fallback to top-`k` overall if no correct rows) - Writes one Markdown bundle with metadata, ranking table, feedback, and code snippets ## Workflow 1. Confirm run artifacts exist ```bash ls -la <results_dir> ``` 2. Generate context bundle ```bash python skills/shinka-inspect/scripts/inspect_best_programs.py \ --results-dir <results_dir> \ --k 5 ``` 3. Optional tuning knobs ```bash python skills/shinka-inspect/scripts/inspect_best_programs.py \ --results-dir <results_dir> \ --k 8 \ --max-code-chars 5000 \ --min-generation 10 \ --out <results_dir>/inspect/top_programs.md ``` 4. Load output into agent context - Default output path: `<results_dir>/shinka_inspect_context.md` - Use it as the context artifact for next-step mutation planning ## CLI Arguments - `--results-dir`: Path to run directory (or direct DB file path) - `--k`: Number of programs to include (default `5`) - `--out`: Output markdown path (default under results dir) - `--max-code-chars`: Per-program code truncation cap (default `4000`) - `--min-generation`: Optional lower bound on generation - `--include-feedback` / `--no-include-feedback`: Include `text_feedback` blocks ## Notes - Ranking metric is `combined_score`. - If no correct rows exist, script falls back to top-score rows and labels fallback in output. - Script is read-only for run artifacts (writes only the markdown bundle).
More agent context in SakanaAI/ShinkaEvolve
3 other files this repository gives its agents.
Skill
- shinka-convertskills/shinka-convert/SKILL.md
- shinka-runskills/shinka-run/SKILL.md
- shinka-setupskills/shinka-setup/SKILL.md
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