SuperAPI AI Directory

benchmarks

Testing & quality

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Updated 10-15 21:55

About this skill

Benchmarks Skill (Internal Maintainer)

Use this for repository maintenance workflows. It is not a user-facing Graphistry domain skill.

Use This Skill For

  • Running eval sweeps across journeys (skill pressure, persona, guardrails, etc.)
  • Validating baseline isolation (skills=off must not read skill files)
  • Generating public-safe benchmark reports
  • Updating README.md with fresh benchmark numbers
  • Creating CHANGELOG.md entries for benchmark releases
  • Git version tagging (semver vX.Y.Z)

Success Criteria (Do Not Skip)

  • Sweeps complete without baseline contamination (verify via log inspection)
  • pass_bool is used for pass rate calculation (not score >= 0.8)
  • Reports are public-safe (source paths redacted)
  • README.md and benchmarks/README.md are updated with new numbers
  • CHANGELOG.md has entry for the sweep
  • Git tag created after merge

Key Metrics

  • pass_bool: Official pass/fail metric (deterministic checks)
  • Delta: skills=on pass rate minus skills=off pass rate (in percentage points)
  • Latency: Average response time in seconds

Preconditions

  • CLIs on PATH: codex, claude, jq
  • Auth configured: ~/.codex, ~/.claude
  • Working from repo root: graphistry-skills/

Workflow

1) Run Eval Sweep

OUT="/tmp/graphistry_skills_sweep_$(date +%Y%m%d-%H%M%S)"
./bin/agent.sh \
  --codex --claude \
  --journeys all \
  --skills-mode both \
  --skills-delivery native \
  --max-workers 2 \
  --out "$OUT"

2) Verify Baseline Isolation

Check skills=off logs for no skill file reads:

grep -l "SKILL.md" "$OUT"/raw/*skills_off* 2>/dev/null && echo "CONTAMINATION DETECTED" || echo "Clean"

3) Generate Public-Safe Report

python3 scripts/benchmarks/make_report.py \
  --public-safe \
  --rows "$OUT/rows.jsonl" \
  --title "Eval Sweep $(date +%Y-%m-%d)" \
  --out-md benchmarks/reports/$(date +%Y-%m-%d)-sweep.md \
  --out-json benchmarks/data/$(date +%Y-%m-%d)-sweep/combined_metrics.json

4) Generate README Snippet

python3 scripts/benchmarks/readme_snippet.py \
  --rows "$OUT/rows.jsonl" \
  --title "Fresh eval sweep"

5) Update Files

  • Update README.md Evals section with generated snippet
  • Update benchmarks/README.md with new pack reference
  • Add entry to CHANGELOG.md under [Development] section

6) Create PR and Tag

After PR merge:

git fetch origin main && git checkout main && git pull
git tag -a vX.Y.Z -m "Release vX.Y.Z: <summary>"
git push origin vX.Y.Z

Versioning Convention

  • Semver: vX.Y.Z (following Supabase MCP, Databricks AI Dev Kit patterns)
  • Patch (Z): Bug fixes, minor eval improvements
  • Minor (Y): New journeys, new skills, notable benchmark changes
  • Major (X): Breaking changes to eval harness or skill format

File Locations

  • Journeys: evals/journeys/*.json
  • Scripts: scripts/benchmarks/make_report.py, scripts/benchmarks/readme_snippet.py
  • Reports: benchmarks/reports/*.md
  • Data: benchmarks/data/*/combined_metrics.json
  • Raw artifacts (private): rows.jsonl, manifest.json, traces, logs

Guardrails

  • Do not check in raw rows.jsonl (contains full prompt/response text)
  • Do not check in manifest.json, otel_ids.json, or raw logs
  • Always use --public-safe flag for checked-in reports
  • Use pass_bool for official metrics, not score thresholds
  • Verify baseline isolation before publishing results

Related Skills

  • eval-otel: OTel trace validation and inspection
  • plan: Multi-session task planning (for complex benchmark campaigns)
  • release: Semver bump + changelog + tag + GitHub release workflow