Skill Benchmark: tao-convert-dataset-format
✅ Overall verdict: PASS — Recommended for publication
Publication Recommendation
Recommended for publication based on the completed evaluation evidence in this report.
Evaluation Metadata
- Skill:
tao-convert-dataset-format - Evaluation date: 2026-09-17
- Evaluator version:
1.5.6 - Agents: Claude Code (
aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5) - Tasks: 1 evaluation tasks (1 positive)
- Dataset digest:
sha256:2fbc3074b2bf29c63e5b9adbd1040448530ede1c8e428e64ca96693b0b9236a1(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 | 99.6% — baseline ran, but no comparable score was available; uplift unavailable | 70.7% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 100.0% (±0.0 points) | 100.0% → 100.0% (±0.0 points) |
| Correctness | 0.0% → 100.0% (+100.0 points) | 0.0% → 80.0% (+80.0 points) |
| Discoverability | 100.0% — baseline ran, but no comparable score was available; uplift unavailable | 0.0% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 16.7% → 100.0% (+83.3 points) | 16.7% → 75.0% (+58.3 points) |
| Efficiency | 97.8% — baseline ran, but no comparable score was available; uplift unavailable | 99.7% → 98.6% (-1.1 points) |
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.
A partial dimension was calculated from only the available configured signals; review the detailed report before relying on it.
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 | 66,923 | 90,910 | N/A | N/A | skill 1/1; base 3/3 |
| claude-code | tao-convert-dataset-format-basic | 66,923 | 90,910 | N/A | N/A | skill 1/1; base 3/3 |
| codex | All cases | 13,784 | 40,805 | N/A | N/A | skill 1/1; base 3/3 |
| codex | tao-convert-dataset-format-basic | 13,784 | 40,805 | N/A | N/A | skill 1/1; base 3/3 |
| ALL AGENTS | Dataset aggregate | 80,707 | 131,715 | N/A | N/A | skill 2/2; base 6/6 |
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); 8 finding(s) |
| Tier 2 | Semantic deduplication | PASSED WITH OBSERVATIONS | 2 validator(s); 1 finding(s) |
| Tier 3 | Live agent evaluation | PASS | 2 agent(s); 1 task(s) |
Findings and Observations
<details> <summary>Show detailed findings and successful checks</summary>- HIGH DUPLICATE/duplicate: Duplicate content found within SKILL.md:
"# Convert a TAO DAFT Dataset" in SKILL.md (lines 1-4)
vs "## Quick start" in SKILL.md (lines 5-14)
vs "## Quick Start" in SKILL.md (lines 24-35)
vs "## Purpose" in SKILL.md (lines 36-51)
vs "### CLI conventions" in SKILL.md (lines 61-92) (
SKILL.md:1) - MEDIUM QUALITY/quality_correctness: SKILL_SPEC recommended field missing: 'metadata.tags' (
skills/data/tao-convert-dataset-format/SKILL.md) - MEDIUM SCHEMA/frontmatter_field_placement: Root field 'tags' is ignored; use 'metadata.tags' (
skills/data/tao-convert-dataset-format/SKILL.md) - MEDIUM SCHEMA/folder_hierarchy: Unexpected nesting depth for general skill (
skills/data/tao-convert-dataset-format) - MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (
skills/data/tao-convert-dataset-format/SKILL.md) - 4 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.