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Get Started Free →Use when evaluating repository agent-readiness, mapping harness roles, choosing the next smallest improvement, or designing and reconciling agent entrypoints such as AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, or GitHub instructions.
.claude/skills/hashgraph-online-repo-harness-assessment/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-12 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 16% | 0% |
| case-02 | ✓→✗ | ▼ Worse | -65% | 0% |
| case-03 | ✓→✗ | ▼ Worse | -40% | 0% |
| case-04 | ✓→✗ | ▼ Worse | -73% | 0% |
Assess how well a repository lets an agent find its rules, make safe changes, verify them, and produce reviewable evidence.
This is the default router for existing repositories. It also owns agent-entrypoint design because entrypoints are the navigation layer of the assessment, not a separate harness system. For shared vocabulary and neutral artifact names, see ../../references/harness-patterns.md; when expected harness files are missing, use references/build-when-missing.md; for canonical entrypoints, mirrors, and drift prevention, use references/entrypoint-policy.md.
AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, or GitHub instructions.rg --files or find to list agent instruction files, docs, scripts, CI, work-state surfaces, ledgers, reports, and runtime artifacts.references/build-when-missing.md; do not scaffold optional roles by default.markdown# Repo Harness Assessment ## Detected Mapping - entrypoint: - mirrors / subtree overrides: - work-state: - ledger: - contracts: - validation: - runtime-evidence: - quality: ## Entrypoint Decision - canonical file: - navigation changes: - drift prevention: ## Current State - Agent entrypoint: - Source-of-truth docs: - Validation surface: - Runtime evidence: - Delivery/ledger: ## Gaps 1. 2. 3. ## Recommended Minimum Slice - First: - Then: - Finally: ## Do Not Build Yet - ## Validation Needed -
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-20 | pass→pass | 16,693 | 13,469 | -19% | 1 | 1 | 0% | 1,827 | 2,451 | +34% | 0 | 0 | — |
case-21 | pass→pass | 12,126 | 15,210 | +25% | 1 | 1 | 0% | 1,217 | 3,019 | +148% | 0 | 0 | — |
case-22 | pass→pass | 16,250 | 12,693 | -22% | 1 | 1 | 0% | 1,758 | 2,452 | +39% | 0 | 0 | — |
case-01 | fail→fail | 48,535 | 13,140 | -73% | 1 | 1 | 0% | 336 | 1,471 | +338% | 0 | 0 | — |
case-02 | pass→fail | 38,399 | 16,550 | -57% | 1 | 1 | 0% | 4,438 | 1,551 | -65% | 0 | 0 | — |
case-03 | pass→fail | 19,741 | 15,952 | -19% | 1 | 1 | 0% | 2,600 | 1,558 | -40% | 0 | 0 | — |
case-04 | pass→fail | 30,978 | 7,780 | -75% | 1 | 1 | 0% | 5,451 | 1,491 | -73% | 0 | 0 | — |
case-05 | pass→fail | 17,841 | 6,008 | -66% | 1 | 1 | 0% | 3,178 | 1,388 | -56% | 0 | 0 | — |
case-06 | pass→fail | 12,788 | 5,795 | -55% | 1 | 1 | 0% | 2,524 | 1,477 | -41% | 0 | 0 | — |
case-07 | pass→pass | 19,138 | 26,208 | +37% | 1 | 1 | 0% | 2,560 | 3,128 | +22% | 0 | 0 | — |
case-08 | pass→fail | 17,141 | 11,491 | -33% | 1 | 1 | 0% | 2,684 | 1,542 | -43% | 0 | 0 | — |
case-09 | pass→fail | 11,955 | 10,485 | -12% | 1 | 1 | 0% | 1,918 | 1,394 | -27% | 0 | 0 | — |
case-10 | pass→pass | 15,044 | 23,653 | +57% | 1 | 1 | 0% | 2,437 | 4,496 | +84% | 0 | 0 | — |
case-11 | pass→fail | 20,418 | 19,698 | -4% | 1 | 1 | 0% | 3,283 | 1,367 | -58% | 0 | 0 | — |
case-12 | fail→pass | 14,079 | 6,058 | -57% | 1 | 1 | 0% | 2,198 | 2,153 | -2% | 0 | 0 | — |
case-19 | pass→pass | 12,352 | 6,104 | -51% | 1 | 1 | 0% | 2,033 | 2,214 | +9% | 0 | 0 | — |
case-13 | pass→fail | 21,387 | 5,991 | -72% | 1 | 1 | 0% | 2,602 | 1,371 | -47% | 0 | 0 | — |
case-14 | pass→pass | 24,137 | 20,537 | -15% | 1 | 1 | 0% | 2,972 | 2,950 | -1% | 0 | 0 | — |
case-15 | pass→pass | 12,579 | 14,786 | +18% | 1 | 1 | 0% | 1,825 | 2,546 | +40% | 0 | 0 | — |
case-16 | fail→pass | 23,997 | 21,903 | -9% | 1 | 1 | 0% | 2,870 | 3,332 | +16% | 0 | 0 | — |
case-17 | pass→pass | 22,461 | 27,250 | +21% | 1 | 1 | 0% | 2,800 | 4,782 | +71% | 0 | 0 | — |
case-18 | pass→pass | 16,390 | 16,515 | +1% | 1 | 1 | 0% | 1,791 | 2,964 | +65% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 12 counted toward the lift figure. The other 10 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of -32 percentage points is the difference between those two pass rates over the 12 comparable cases. 9 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.