Benchmark profile
Vals SkillsBench (SkillsBench)
How important are skills for agents?
Data verifiedHow BenchLM shows SkillsBench
BenchLM mirrors the public Vals AI SkillsBench leaderboard captured from https://www.vals.ai/benchmarks/skillsbench and updated by Vals on July 24, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
SkillsBench is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
SkillsBench score on SkillsBench — July 24, 2026
BenchLM mirrors the published skillsbench score view for SkillsBench. Grok 4.5 leads the public snapshot at 66.03% , followed by GPT-5.5 Codex (62.55%) and GPT-5.5 (62.21%). BenchLM does not use these results to rank models overall.
Grok 4.5
xAI
OpenHands
grok/grok-4.5
GPT-5.5 Codex
OpenAI
Codex
openai/gpt-5.5-codex
GPT-5.5
OpenAI
OpenHands
openai/gpt-5.5
SkillsBench score table (20 models)
ScoreThe published SkillsBench snapshot places Grok 4.5 first at 66.03%. The third row is 3.83 points behind. The broader top-10 range is 11.93 points, so the table still separates the published systems.
20 models have been evaluated on SkillsBench. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. SkillsBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About SkillsBench
Year
2026
Tasks
Agent skill-importance tasks
Format
Accuracy score
Difficulty
Agent skill evaluation
BenchLM mirrors the public Vals AI SkillsBench leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
SkillsBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does SkillsBench measure?
How important are skills for agents?
Which model leads the published SkillsBench snapshot?
Grok 4.5 currently leads the published SkillsBench snapshot with 66.03% skillsbench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on SkillsBench?
20 AI models are included in BenchLM's mirrored SkillsBench snapshot, based on the public leaderboard captured on July 24, 2026.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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