Open research · 2026 edition

State of Agent Skills 2026.

A transparent look at what is actually inside an agent-skill registry: which records look like reusable skills, which are maintained, which declare a license, what can be installed, and how little real outcome evidence the ecosystem still has.
22,001
Indexed candidates
1,000
Analyzed sample
9%
Strict agent skills
55
Agent Proven

Executive finding

Popularity is not readiness.

GitHub adoption is useful, but it does not prove task fit, safe installation, or a successful agent run. This report keeps those signals separate.

  1. 018.8% of the analyzed sample has strict Agent Skill evidence in its repository name, README, description, or topics.
  2. 0212.3% describes an agent workflow or agent product without strict reusable-skill evidence.
  3. 0329.4% is better described as a domain workflow tool or ecosystem dependency than a strict agent skill.
  4. 042.2% is a list or collection rather than one installable skill.
  5. 0599.7% was pushed within 180 days of report generation.
  6. 0681.7% has a declared license that is not marked unknown.
  7. 07100% reaches the current 72-point high-trust threshold in this quality-ranked sample; Trust remains a metadata signal, not proof of task success.
  8. 0855 analyzed skills have at least one reported agent outcome, covering 75 outcomes in total.

Readiness signals

What the analyzed sample can support.

Maintained within 180 days
997100%
Known license
81782%
Install path available
1,000100%
500+ GitHub stars
1,000100%
72+ Trust Score
1,000100%
Safe-to-try audit
85285%

Domain coverage

Where the candidate supply is concentrated.

Track assignment uses category, task, use-case, and repository text signals. It is a discovery aid, not a claim that every record is production ready.

TrackCandidatesShareMaintainedKnown licenseHigh trust
Coding and developer agents49549.5%493406495
Research and knowledge work17217.2%172144172
Design and creative production12712.7%127102127
Data, BI, and analytics989.8%987998
Legal, policy, and compliance363.6%362936
Finance and quant workflows343.4%343034
Marketing and growth automation252.5%251725
Education and tutoring80.8%758
Presentation and deck workflows30.3%333
Football and World Cup analytics20.2%222

Evidence shortlist

Leading strict skill candidates.

Ordered by reported outcomes, Trust Score, skill-likeness, and GitHub adoption. This is a shortlist for evaluation, not an automatic-install endorsement.

Agent Proven ranking
SkillTrackStarsTrustAuditRiskOutcomes
Frontend Design
anthropics/skills
Design and creative production171K8993Safe to try7
Vox Director
Alisa0808/vox-director
Design and creative production1.5K8291Safe to try4
Talos
siderolabs/talos
Coding and developer agents11K8891Safe to try3
Taste Skill: Anti-Slop Frontend
Leonxlnx/taste-skill
Design and creative production80K9294Safe to try2
女娲.Skill
alchaincyf/nuwa-skill
Research and knowledge work28K8891Safe to try2
Crossplane
crossplane/crossplane
Coding and developer agents12K8891Safe to try2
Radzen Blazor
radzenhq/radzen-blazor
Data, BI, and analytics4.3K8892Safe to try2
Carbon
carbon-design-system/carbon
Design and creative production9.2K8791Safe to try2
Firecrawl
firecrawl/firecrawl
Research and knowledge work139K8790Safe to try2
Obsidian Second Brain
eugeniughelbur/obsidian-second-brain
Research and knowledge work3.6K8592Safe to try2
Keystatic
Thinkmill/keystatic
Research and knowledge work2.1K8489Safe to try2
Longhorn
longhorn/longhorn
Coding and developer agents7.8K8489Safe to try2
Animation Vocabulary
emilkowalski/skills
Design and creative production17K9093Safe to try1
WhisperX
m-bain/whisperX
Design and creative production23K9092Safe to try1
Kedro
kedro-org/kedro
Design and creative production11K9093Safe to try1
Aaron Marketing Skills
aaron-he-zhu/aaron-marketing-skills
Coding and developer agents2.6K8994Safe to try1
Echarts
apache/echarts
Data, BI, and analytics67K8991Safe to try1
Ppt Master
hugohe3/ppt-master
Presentation and deck workflows37K8992Needs review1
Dashi Ppt Skill
chuspeeism/dashi-ppt-skill
Presentation and deck workflows5.2K8892Safe to try1
Crawlee
apify/crawlee
Research and knowledge work24K8891Safe to try1
Maxun
getmaxun/maxun
Research and knowledge work16K8892Safe to try1
Appsmith
appsmithorg/appsmith
Coding and developer agents40K8891Safe to try1
Crawl4AI
unclecode/crawl4ai
Research and knowledge work73K8891Safe to try1
Scrapegraph AI
ScrapeGraphAI/Scrapegraph-ai
Research and knowledge work27K8891Safe to try1
InsForge
InsForge/InsForge
Coding and developer agents12K8892Safe to try1

Methodology

Readable before repeatable.

Published Jul 10, 2026. Data refreshed Aug 26, 2026.

Population and sample

All public records with ai_review_approved=true in the OpenAgentSkill registry. MCP-only records are excluded by the registry read layer.

The highest-ranked 1,000 approved candidates by the current quality ordering. The sample is a product audit, not a random statistical sample.

Inclusion and measurement

  • Public GitHub repository or repository URL is available
  • Registry AI review is approved
  • MCP-only server records are excluded
  • Skill-likeness is measured separately from repository popularity
  • Trust and audit scores use public repository metadata and declared install information

Limitations

  • GitHub stars measure repository adoption, not agent task success
  • Candidate listings are not equivalent to verified maintainer claims
  • A public metadata audit is not a substitute for source review or sandbox execution
  • Agent Proven evidence remains sparse until agents report real outcomes
  • Repository metadata can change after this report is generated

Cite this report

OpenAgentSkill. “State of Agent Skills 2026.” Published July 10, 2026. Dataset and methodology available at https://www.openagentskill.com/reports/state-of-agent-skills-2026.