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.
28,456
Indexed candidates
62
Analyzed sample
79%
Strict agent skills
0
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. 0179% of the analyzed sample has strict Agent Skill evidence in its repository name, README, description, or topics.
  2. 026.5% describes an agent workflow or agent product without strict reusable-skill evidence.
  3. 0312.9% is better described as a domain workflow tool or ecosystem dependency than a strict agent skill.
  4. 041.6% is a list or collection rather than one installable skill.
  5. 0590.3% was pushed within 180 days of report generation.
  6. 0685.5% has a declared license that is not marked unknown.
  7. 0798.4% reaches the current 72-point high-trust threshold in this quality-ranked sample; Trust remains a metadata signal, not proof of task success.
  8. 080 analyzed skills have at least one reported agent outcome, covering 0 outcomes in total.

Readiness signals

What the analyzed sample can support.

Maintained within 180 days
5690%
Known license
5385%
Install path available
00%
500+ GitHub stars
5284%
72+ Trust Score
6198%
Safe-to-try audit
2540%

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
Finance and quant workflows2540.3%202225
Design and creative production1625.8%151615
Coding and developer agents1117.7%11911
Research and knowledge work58.1%545
Football and World Cup analytics23.2%202
Marketing and growth automation23.2%222
General agent automation11.6%101

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
Taste Skill: Anti-Slop Frontend
Leonxlnx/taste-skill
Design and creative production66K9394Safe to try0
Vercel React Best Practices
vercel-labs/agent-skills
Coding and developer agents29K9394Safe to try0
Frontend Design
anthropics/skills
Design and creative production163K9092Safe to try0
Figma Implement Design
openai/skills
Design and creative production24K9092Safe to try0
Anthropic Brand Guidelines
anthropics/skills
Design and creative production163K9092Safe to try0
Web Design Guidelines
vercel-labs/agent-skills
Design and creative production29K9092Safe to try0
Canvas Design
anthropics/skills
Design and creative production163K8991Safe to try0
Webapp Testing
anthropics/skills
Coding and developer agents163K8891Safe to try0
Deploy to Vercel
vercel-labs/agent-skills
Coding and developer agents29K8790Safe to try0
Playwright Browser Skill
openai/skills
Coding and developer agents24K8589Safe to try0
Equity Research Earnings Analysis
anthropics/financial-services
Finance and quant workflows34K8390Needs review0
Portfolio Monitoring
anthropics/financial-services
Finance and quant workflows34K8389Needs review0
Seedance 2.0 Prompt Writing
dexhunter/seedance2-skill
Design and creative production2.9K8386Safe to try0
3-Statement Financial Model
anthropics/financial-services
Finance and quant workflows34K8390Needs review0
Earnings Preview
himself65/finance-skills
Finance and quant workflows3.1K8189Needs review0
US Stock Analysis
tradermonty/claude-trading-skills
Finance and quant workflows2.6K8189Needs review0
Earnings Calendar
tradermonty/claude-trading-skills
Finance and quant workflows2.6K8189Needs review0
Company Valuation
himself65/finance-skills
Finance and quant workflows3.1K8189Needs review0
Market Environment Analysis
tradermonty/claude-trading-skills
Finance and quant workflows2.6K8189Needs review0
Aaron Marketing Skills
aaron-he-zhu/aaron-marketing-skills
Marketing and growth automation2.3K8088Safe to try0
Vox Director
Alisa0808/vox-director
Design and creative production3268089Safe to try0
Market News Analyst
tradermonty/claude-trading-skills
Finance and quant workflows2.6K7988Needs review0
Tech Earnings Deep Dive
star23/Day1Global-Skills
Finance and quant workflows1.0K7987Needs review0
David Ondrej Skills
davidondrej/skills
Coding and developer agents9687988Safe to try0
Simons Quant
xuboyuebobb/investorskills
Finance and quant workflows8117988Needs review0

Methodology

Readable before repeatable.

Published Jul 10, 2026. Data refreshed Oct 11, 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 62 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.