Skill Benchmark: dicom-series-preflight
✅ Overall verdict: PASS — Recommended for publication
Publication Recommendation
Recommended for publication based on the completed evaluation evidence in this report.
Evaluation Metadata
- Skill:
dicom-series-preflight - Evaluation date: 2026-09-14
- Evaluator version:
1.5.6 - Agents: Claude Code (
aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5) - Tasks: 3 evaluation tasks (3 positive)
- Dataset digest:
sha256:62a39511ef1fe2d4954937d2a8a22b8e447484afd22c4b0ef6cf8e2f26b337ff(skill-evaluator-dataset-snapshot/1) - Attempts per task: 3
- Environment:
k8s-sandbox - Tier 2 evidence: required for publication
- Tier 3 evidence: required for publication
Each task attempt ran in its own isolated sandbox pod.
What This Report Answers
The three-tier evaluation checks whether the skill:
- is safe to use;
- produces correct answers;
- is discovered and activated when needed;
- helps the agent complete the user's goal and expected workflow; and
- avoids wasted skill and tool usage.
Results at a Glance
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 75.3% — baseline ran, but no comparable score was available; uplift unavailable | 71.6% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 66.7% (-33.3 points) | 100.0% → 66.7% (-33.3 points) |
| Correctness | 2.9% → 80.0% (+77.1 points) | 2.5% → 80.0% (+77.5 points) |
| Discoverability | 88.3% — baseline ran, but no comparable score was available; uplift unavailable | 81.7% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 13.6% → 56.1% (+42.5 points) | 17.5% → 49.7% (+32.2 points) |
| Efficiency | 85.2% — baseline ran, but no comparable score was available; uplift unavailable | 79.8% — baseline ran, but no comparable score was available; uplift unavailable |
How to read this table: baseline is the same task attempted without the target skill. Scores are rounded to one decimal; threshold-adjacent values use additional precision so their displayed band matches the verdict. Uplift is derived from those displayed scores and shown in percentage points.
Example: 47.0% → 92.0% (+45.0 points) means the skill-assisted run scored 92.0%, 45.0 percentage points above its 47.0% no-skill baseline.
Token Usage
Actual Tier 3 execution usage is reported for every observed agent/case pair and both conditions.
| Agent | Dataset case | With skill | Without skill | Delta | Change | Coverage |
|---|---|---|---|---|---|---|
| claude-code | All cases | 1,398,058 | 1,184,793 | N/A | N/A | skill 3/3; base 7/7 |
| claude-code | preflight-clean-axial-flags-phi | 634,914 | 510,580 | N/A | N/A | skill 1/1; base 3/3 |
| claude-code | preflight-clean-no-phi-greenlights | 458,381 | 483,512 | N/A | N/A | skill 1/1; base 3/3 |
| claude-code | preflight-flipped-lr-blocks-segmentation | 304,763 | 190,701 | +114,062 | +59.81% | skill 1/1; base 1/1 |
| codex | All cases | 1,156,112 | 813,778 | N/A | N/A | skill 3/3; base 8/8 |
| codex | preflight-clean-axial-flags-phi | 389,303 | 264,463 | N/A | N/A | skill 1/1; base 3/3 |
| codex | preflight-clean-no-phi-greenlights | 319,585 | 341,802 | N/A | N/A | skill 1/1; base 3/3 |
| codex | preflight-flipped-lr-blocks-segmentation | 447,224 | 207,513 | N/A | N/A | skill 1/1; base 2/2 |
| ALL AGENTS | Dataset aggregate | 2,554,170 | 1,998,571 | N/A | N/A | skill 6/6; base 15/15 |
Prompt tokens include cached reads, so total tokens are prompt + completion (cached is not added twice). The Efficiency score uses (prompt - cached) + completion. N/A means the relevant trajectory counters were not available; coverage is never estimated.
Tier Status
| Tier | Purpose | Status | Evidence |
|---|---|---|---|
| Tier 1 | Static validation | PASSED WITH OBSERVATIONS | 11 validator(s); 12 finding(s) |
| Tier 2 | Semantic deduplication | PASSED | 2 validator(s); 0 finding(s) |
| Tier 3 | Live agent evaluation | PASS | 2 agent(s); 3 task(s) |
Findings and Observations
<details> <summary>Show detailed findings and successful checks</summary>- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (
skills/dicom-series-preflight/SKILL.md) - MEDIUM SECURITY/subprocess module call (AST4): Dangerous Code Execution: subprocess.run(
[sys.executable, str(FIXTURES / "generate_fixtures.py")],
check=True,
cwd=REPO,
) (
tests/test_preflight_series.py:37) - LOW QUALITY/quality_reliability: Inputs are used but no dedicated Inputs section is documented (
skills/dicom-series-preflight/SKILL.md) - LOW QUALITY/quality_reliability: Structured output is used but no dedicated Output Format section is documented (
skills/dicom-series-preflight/SKILL.md) - LOW SCHEMA/unexpected_file: Unexpected 'fixtures' in skill root (
skills/dicom-series-preflight/fixtures) - 7 additional finding(s) are available in the full evaluation artifacts.
Scoring Methodology
<details> <summary>Show dimension definitions, source signals, and thresholds</summary>| Dimension | Question | Scored signals |
|---|---|---|
| Security | Is it safe to use? | security (100%) |
| Correctness | Is the answer correct? | accuracy (100%) |
| Discoverability | Was the right skill loaded when needed? | skill_execution (100%) |
| Effectiveness | Did the skill help complete the task? | goal_accuracy (50%) + behavior_check (50%) |
| Efficiency | Did it avoid wasted tool calls and token usage? | skill_efficiency (50%) + token_efficiency (50%) |
- Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
- Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
- Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
- The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
- Effectiveness is the equal-weight mean of goal completion (
goal_accuracy) and expected workflow adherence (behavior_check). - Efficiency is 50% tool-call productivity (the backward-compatible
skill_efficiencywire id) and 50%token_efficiency. Positive-case skill routing is scored under Discoverability, not Efficiency; a negative case without a routing target is N/A. N/A sources are omitted, remaining weights are renormalized, and the dimension is marked partial.
Signals present in this run:
security(Security): unsafe operations, secret leakage, and unauthorized access.skill_execution(Skill Execution): whether the expected skill was selected, decoys were avoided, and the workflow executed.skill_efficiency(Tool Productivity): tool-call productivity (legacy wire id; routing is scored under Discoverability).accuracy(Accuracy): final-answer correctness against the reference answer.goal_accuracy(Goal Accuracy): whether the user's goal was achieved.behavior_check(Behavior Check): whether the expected workflow behavior was followed.token_efficiency(Token Efficiency): actual uncached prompt plus completion usage (50% of Efficiency).
Freshness
Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.