Creator · vibeeval
Last updated · Sep 3, 2026
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
Creator · vibeeval
Last updated · Sep 3, 2026
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
Creator · vibeeval
Last updated · Sep 3, 2026
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
Creator · vibeeval
Last updated · Sep 3, 2026
Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir.
Sandbox only
Install targets
Codex install prompt
Install the "agent-linter" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-linter. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"vibeeval-agent-linter","task":"Install agent-linter","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add vibeeval/vibecosystem --skill agent-linter
Maintenance
fresh
27d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
530
74/100 Quality · 77/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
530 GitHub stars
Repo activity
530 stars, 44 forks
Maintenance
27d since push
License
MIT
Install
npx skills add vibeeval/vibecosystem --skill agent-linter
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add vibeeval/vibecosystem --skill agent-linterDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/vibeeval-agent-linter/install
Agent should check
Copy prompt
Task: Use agent-linter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install
Install command: npx skills add vibeeval/vibecosystem --skill agent-linter
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/vibeeval-agent-linter/install
LLM text format
/api/skills/vibeeval-agent-linter/install?format=text
Find alternatives
/api/skills/search?q=agent-linter&limit=3
Agent prompt
Use agent-linter for this task. Review https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install, then install with: npx skills add vibeeval/vibecosystem --skill agent-linterRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/vibeeval-agent-linter
LLM text
/api/registry/manifest/vibeeval-agent-linter?format=text
Install alias
/api/registry/install/vibeeval-agent-linter
Recommend
/api/registry/recommend?task=Use%20agent-linter%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO530 GitHub stars
Stars/forks activity
INFO530 stars, 44 forks; issue activity unavailable in current metadata
Recent maintenance
PASS27d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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--- name: agent-linter description: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. ---
# Agent & Skill Linter
Agent ve skill dosyalarinin kalite kontrolu. Yanlis yapilandirilmis dosyalar runtime'da sessizce basarisiz olur -- linter bunu onler.
## Agent Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: agent-adi # kebab-case, dosya adiyla AYNI olmali description: Tek satir # 20-200 karakter arasi tools: ["Read", "Bash"] # Gecerli tool listesi model: opus # Opsiyonel: opus | sonnet --- ```
### Frontmatter Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | `name` mevcut | Frontmatter'da name var mi? | ERROR | | `name` = dosya adi | `name: sleuth` == `sleuth.md` | ERROR | | `name` kebab-case | `code-reviewer` OK, `codeReviewer` FAIL | ERROR | | `description` mevcut | Bos olmamali | ERROR | | `description` uzunlugu | 20-200 karakter | WARN | | `tools` array | String array olmali | ERROR | | `tools` gecerli | Sadece bilinen tool isimleri | WARN | | `model` gecerli | opus, sonnet veya bos | ERROR |
### Body Kurallari
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | System prompt var | Frontmatter'dan sonra icerik var | ERROR | | 50+ satir | Cok kisa agent tanimlari yetersiz | WARN | | 2000 satir max | Cok uzun dosyalar token israf eder | WARN | | Markdown basliklar | En az 1 `##` basligi var | WARN |
## Skill Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: skill-adi # kebab-case description: Aciklama # 20-300 karakter --- ```
### Skill Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | Dosya adi | `SKILL.md` veya `skill.md` | ERROR | | `name` mevcut | Frontmatter'da | ERROR | | `name` = klasor adi | `name: tdd-workflow` == `skills/tdd-workflow/` | WARN | | `description` mevcut | Bos olmamali | ERROR | | Icerik var | Frontmatter'dan sonra en az 20 satir | WARN | | Kod ornegi var | En az 1 code block | INFO |
## Lint Calistirma
### Bash Script
```bash #!/bin/bash # scripts/lint-agents.sh
ERRORS=0 WARNS=0
lint_agent() { local file="$1" local name=$(basename "$file" .md)
# Frontmatter kontrolu if ! head -1 "$file" | grep -q "^---"; then echo "ERROR: $file - frontmatter yok" ERRORS=$((ERRORS + 1)) return fi
# name field kontrolu local fm_name=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^name:" | sed 's/name: *//') if [ -z "$fm_name" ]; then echo "ERROR: $file - name field yok" ERRORS=$((ERRORS + 1)) elif [ "$fm_name" != "$name" ]; then echo "ERROR: $file - name '$fm_name' != dosya adi '$name'" ERRORS=$((ERRORS + 1)) fi
# description kontrolu local desc=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^description:") if [ -z "$desc" ]; then echo "ERROR: $file - description yok" ERRORS=$((ERRORS + 1)) fi
# Uzunluk kontrolu local lines=$(wc -l < "$file") if [ "$lines" -lt 10 ]; then echo "WARN: $file - cok kisa ($lines satir)" WARNS=$((WARNS + 1)) elif [ "$lines" -gt 2000 ]; then echo "WARN: $file - cok uzun ($lines satir)" WARNS=$((WARNS + 1)) fi }
echo "=== Agent Linter ===" for f in agents/*.md; do lint_agent "$f" done
echo "" echo "=== Skill Linter ===" for f in skills/*/SKILL.md skills/*/skill.md; do [ -f "$f" ] && lint_agent "$f" done
echo "" echo "Sonuc: $ERRORS error, $WARNS warning" [ "$ERRORS" -gt 0 ] && exit 1 || exit 0 ```
### CI Entegrasyonu
```yaml # .github/workflows/lint-agents.yml name: Agent & Skill Lint on: pull_request: paths: ['agents/**', 'skills/**']
jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: bash scripts/lint-agents.sh ```
## Yaygin Hatalar
| Hata | Ornek | Cozum | |------|-------|-------| | name/dosya uyumsuzlugu | `name: codeReviewer` dosya: `code-reviewer.md` | name'i kebab-case yap | | Description cok kisa | `description: Reviews code` | Ne yaptigini detayla | | Tools yanlis format | `tools: Read, Bash` | `tools: ["Read", "Bash"]` | | Bos agent dosyasi | Sadece frontmatter, body yok | System prompt ekle | | Duplicate name | 2 agent ayni name'e sahip | Benzersiz isim ver | | Skill klasor/name uyumsuz | `name: tdd` klasor: `tdd-workflow/` | Eslestir |
## Toplu Lint Raporu
```bash # Tum agent'lari tara, rapor uret cd ~/vibecosystem bash scripts/lint-agents.sh 2>&1 | tee lint-report.txt
# Sadece ERROR'lari goster grep "^ERROR" lint-report.txt
# Istatistik echo "Agents: $(ls agents/*.md | wc -l)" echo "Skills: $(ls skills/*/SKILL.md skills/*/skill.md 2>/dev/null | wc -l)" echo "Errors: $(grep -c ERROR lint-report.txt)" echo "Warnings: $(grep -c WARN lint-report.txt)" ```
## vibecosystem Entegrasyonu
- **verifier agent**: Lint'i final quality gate'e ekle - **qa-engineer agent**: Yeni agent/skill PR'larinda lint calistir - **self-learner agent**: Lint hatalari pattern olarak ogren - **catalyst agent**: Scaffold sırasinda lint-uyumlu dosya uret - **/commit skill**: Commit oncesi agent/skill dosyalarini lint'le
Source provenance
Decision snapshot
530 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-linter, ready for a manual X post.
A practical pick for a repeatable workflow: agent-linter: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik... 530 stars https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x
Listing + install path for agent-linter: https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x Install: npx skills add vibeeval/vibecosystem --skill agent-linter
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to vibeeval but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter/audit)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)vibeeval
@vibeeval
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Install targets
Codex install prompt
Install the "agent-linter" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-linter. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"vibeeval-agent-linter","task":"Install agent-linter","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add vibeeval/vibecosystem --skill agent-linter
Maintenance
fresh
27d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
530
74/100 Quality · 77/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
530 GitHub stars
Repo activity
530 stars, 44 forks
Maintenance
27d since push
License
MIT
Install
npx skills add vibeeval/vibecosystem --skill agent-linter
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add vibeeval/vibecosystem --skill agent-linterDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/vibeeval-agent-linter/install
Agent should check
Copy prompt
Task: Use agent-linter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install
Install command: npx skills add vibeeval/vibecosystem --skill agent-linter
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/vibeeval-agent-linter/install
LLM text format
/api/skills/vibeeval-agent-linter/install?format=text
Find alternatives
/api/skills/search?q=agent-linter&limit=3
Agent prompt
Use agent-linter for this task. Review https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install, then install with: npx skills add vibeeval/vibecosystem --skill agent-linterRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/vibeeval-agent-linter
LLM text
/api/registry/manifest/vibeeval-agent-linter?format=text
Install alias
/api/registry/install/vibeeval-agent-linter
Recommend
/api/registry/recommend?task=Use%20agent-linter%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO530 GitHub stars
Stars/forks activity
INFO530 stars, 44 forks; issue activity unavailable in current metadata
Recent maintenance
PASS27d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: agent-linter description: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. ---
# Agent & Skill Linter
Agent ve skill dosyalarinin kalite kontrolu. Yanlis yapilandirilmis dosyalar runtime'da sessizce basarisiz olur -- linter bunu onler.
## Agent Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: agent-adi # kebab-case, dosya adiyla AYNI olmali description: Tek satir # 20-200 karakter arasi tools: ["Read", "Bash"] # Gecerli tool listesi model: opus # Opsiyonel: opus | sonnet --- ```
### Frontmatter Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | `name` mevcut | Frontmatter'da name var mi? | ERROR | | `name` = dosya adi | `name: sleuth` == `sleuth.md` | ERROR | | `name` kebab-case | `code-reviewer` OK, `codeReviewer` FAIL | ERROR | | `description` mevcut | Bos olmamali | ERROR | | `description` uzunlugu | 20-200 karakter | WARN | | `tools` array | String array olmali | ERROR | | `tools` gecerli | Sadece bilinen tool isimleri | WARN | | `model` gecerli | opus, sonnet veya bos | ERROR |
### Body Kurallari
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | System prompt var | Frontmatter'dan sonra icerik var | ERROR | | 50+ satir | Cok kisa agent tanimlari yetersiz | WARN | | 2000 satir max | Cok uzun dosyalar token israf eder | WARN | | Markdown basliklar | En az 1 `##` basligi var | WARN |
## Skill Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: skill-adi # kebab-case description: Aciklama # 20-300 karakter --- ```
### Skill Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | Dosya adi | `SKILL.md` veya `skill.md` | ERROR | | `name` mevcut | Frontmatter'da | ERROR | | `name` = klasor adi | `name: tdd-workflow` == `skills/tdd-workflow/` | WARN | | `description` mevcut | Bos olmamali | ERROR | | Icerik var | Frontmatter'dan sonra en az 20 satir | WARN | | Kod ornegi var | En az 1 code block | INFO |
## Lint Calistirma
### Bash Script
```bash #!/bin/bash # scripts/lint-agents.sh
ERRORS=0 WARNS=0
lint_agent() { local file="$1" local name=$(basename "$file" .md)
# Frontmatter kontrolu if ! head -1 "$file" | grep -q "^---"; then echo "ERROR: $file - frontmatter yok" ERRORS=$((ERRORS + 1)) return fi
# name field kontrolu local fm_name=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^name:" | sed 's/name: *//') if [ -z "$fm_name" ]; then echo "ERROR: $file - name field yok" ERRORS=$((ERRORS + 1)) elif [ "$fm_name" != "$name" ]; then echo "ERROR: $file - name '$fm_name' != dosya adi '$name'" ERRORS=$((ERRORS + 1)) fi
# description kontrolu local desc=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^description:") if [ -z "$desc" ]; then echo "ERROR: $file - description yok" ERRORS=$((ERRORS + 1)) fi
# Uzunluk kontrolu local lines=$(wc -l < "$file") if [ "$lines" -lt 10 ]; then echo "WARN: $file - cok kisa ($lines satir)" WARNS=$((WARNS + 1)) elif [ "$lines" -gt 2000 ]; then echo "WARN: $file - cok uzun ($lines satir)" WARNS=$((WARNS + 1)) fi }
echo "=== Agent Linter ===" for f in agents/*.md; do lint_agent "$f" done
echo "" echo "=== Skill Linter ===" for f in skills/*/SKILL.md skills/*/skill.md; do [ -f "$f" ] && lint_agent "$f" done
echo "" echo "Sonuc: $ERRORS error, $WARNS warning" [ "$ERRORS" -gt 0 ] && exit 1 || exit 0 ```
### CI Entegrasyonu
```yaml # .github/workflows/lint-agents.yml name: Agent & Skill Lint on: pull_request: paths: ['agents/**', 'skills/**']
jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: bash scripts/lint-agents.sh ```
## Yaygin Hatalar
| Hata | Ornek | Cozum | |------|-------|-------| | name/dosya uyumsuzlugu | `name: codeReviewer` dosya: `code-reviewer.md` | name'i kebab-case yap | | Description cok kisa | `description: Reviews code` | Ne yaptigini detayla | | Tools yanlis format | `tools: Read, Bash` | `tools: ["Read", "Bash"]` | | Bos agent dosyasi | Sadece frontmatter, body yok | System prompt ekle | | Duplicate name | 2 agent ayni name'e sahip | Benzersiz isim ver | | Skill klasor/name uyumsuz | `name: tdd` klasor: `tdd-workflow/` | Eslestir |
## Toplu Lint Raporu
```bash # Tum agent'lari tara, rapor uret cd ~/vibecosystem bash scripts/lint-agents.sh 2>&1 | tee lint-report.txt
# Sadece ERROR'lari goster grep "^ERROR" lint-report.txt
# Istatistik echo "Agents: $(ls agents/*.md | wc -l)" echo "Skills: $(ls skills/*/SKILL.md skills/*/skill.md 2>/dev/null | wc -l)" echo "Errors: $(grep -c ERROR lint-report.txt)" echo "Warnings: $(grep -c WARN lint-report.txt)" ```
## vibecosystem Entegrasyonu
- **verifier agent**: Lint'i final quality gate'e ekle - **qa-engineer agent**: Yeni agent/skill PR'larinda lint calistir - **self-learner agent**: Lint hatalari pattern olarak ogren - **catalyst agent**: Scaffold sırasinda lint-uyumlu dosya uret - **/commit skill**: Commit oncesi agent/skill dosyalarini lint'le
Source provenance
Decision snapshot
530 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-linter, ready for a manual X post.
A practical pick for a repeatable workflow: agent-linter: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik... 530 stars https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x
Listing + install path for agent-linter: https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x Install: npx skills add vibeeval/vibecosystem --skill agent-linter
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to vibeeval but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter/audit)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)vibeeval
@vibeeval
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
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Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "agent-linter" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-linter. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"vibeeval-agent-linter","task":"Install agent-linter","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add vibeeval/vibecosystem --skill agent-linter
Maintenance
fresh
27d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
530
74/100 Quality · 77/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
530 GitHub stars
Repo activity
530 stars, 44 forks
Maintenance
27d since push
License
MIT
Install
npx skills add vibeeval/vibecosystem --skill agent-linter
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add vibeeval/vibecosystem --skill agent-linterDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/vibeeval-agent-linter/install
Agent should check
Copy prompt
Task: Use agent-linter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install
Install command: npx skills add vibeeval/vibecosystem --skill agent-linter
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/vibeeval-agent-linter/install
LLM text format
/api/skills/vibeeval-agent-linter/install?format=text
Find alternatives
/api/skills/search?q=agent-linter&limit=3
Agent prompt
Use agent-linter for this task. Review https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install, then install with: npx skills add vibeeval/vibecosystem --skill agent-linterRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/vibeeval-agent-linter
LLM text
/api/registry/manifest/vibeeval-agent-linter?format=text
Install alias
/api/registry/install/vibeeval-agent-linter
Recommend
/api/registry/recommend?task=Use%20agent-linter%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO530 GitHub stars
Stars/forks activity
INFO530 stars, 44 forks; issue activity unavailable in current metadata
Recent maintenance
PASS27d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: agent-linter description: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. ---
# Agent & Skill Linter
Agent ve skill dosyalarinin kalite kontrolu. Yanlis yapilandirilmis dosyalar runtime'da sessizce basarisiz olur -- linter bunu onler.
## Agent Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: agent-adi # kebab-case, dosya adiyla AYNI olmali description: Tek satir # 20-200 karakter arasi tools: ["Read", "Bash"] # Gecerli tool listesi model: opus # Opsiyonel: opus | sonnet --- ```
### Frontmatter Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | `name` mevcut | Frontmatter'da name var mi? | ERROR | | `name` = dosya adi | `name: sleuth` == `sleuth.md` | ERROR | | `name` kebab-case | `code-reviewer` OK, `codeReviewer` FAIL | ERROR | | `description` mevcut | Bos olmamali | ERROR | | `description` uzunlugu | 20-200 karakter | WARN | | `tools` array | String array olmali | ERROR | | `tools` gecerli | Sadece bilinen tool isimleri | WARN | | `model` gecerli | opus, sonnet veya bos | ERROR |
### Body Kurallari
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | System prompt var | Frontmatter'dan sonra icerik var | ERROR | | 50+ satir | Cok kisa agent tanimlari yetersiz | WARN | | 2000 satir max | Cok uzun dosyalar token israf eder | WARN | | Markdown basliklar | En az 1 `##` basligi var | WARN |
## Skill Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: skill-adi # kebab-case description: Aciklama # 20-300 karakter --- ```
### Skill Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | Dosya adi | `SKILL.md` veya `skill.md` | ERROR | | `name` mevcut | Frontmatter'da | ERROR | | `name` = klasor adi | `name: tdd-workflow` == `skills/tdd-workflow/` | WARN | | `description` mevcut | Bos olmamali | ERROR | | Icerik var | Frontmatter'dan sonra en az 20 satir | WARN | | Kod ornegi var | En az 1 code block | INFO |
## Lint Calistirma
### Bash Script
```bash #!/bin/bash # scripts/lint-agents.sh
ERRORS=0 WARNS=0
lint_agent() { local file="$1" local name=$(basename "$file" .md)
# Frontmatter kontrolu if ! head -1 "$file" | grep -q "^---"; then echo "ERROR: $file - frontmatter yok" ERRORS=$((ERRORS + 1)) return fi
# name field kontrolu local fm_name=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^name:" | sed 's/name: *//') if [ -z "$fm_name" ]; then echo "ERROR: $file - name field yok" ERRORS=$((ERRORS + 1)) elif [ "$fm_name" != "$name" ]; then echo "ERROR: $file - name '$fm_name' != dosya adi '$name'" ERRORS=$((ERRORS + 1)) fi
# description kontrolu local desc=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^description:") if [ -z "$desc" ]; then echo "ERROR: $file - description yok" ERRORS=$((ERRORS + 1)) fi
# Uzunluk kontrolu local lines=$(wc -l < "$file") if [ "$lines" -lt 10 ]; then echo "WARN: $file - cok kisa ($lines satir)" WARNS=$((WARNS + 1)) elif [ "$lines" -gt 2000 ]; then echo "WARN: $file - cok uzun ($lines satir)" WARNS=$((WARNS + 1)) fi }
echo "=== Agent Linter ===" for f in agents/*.md; do lint_agent "$f" done
echo "" echo "=== Skill Linter ===" for f in skills/*/SKILL.md skills/*/skill.md; do [ -f "$f" ] && lint_agent "$f" done
echo "" echo "Sonuc: $ERRORS error, $WARNS warning" [ "$ERRORS" -gt 0 ] && exit 1 || exit 0 ```
### CI Entegrasyonu
```yaml # .github/workflows/lint-agents.yml name: Agent & Skill Lint on: pull_request: paths: ['agents/**', 'skills/**']
jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: bash scripts/lint-agents.sh ```
## Yaygin Hatalar
| Hata | Ornek | Cozum | |------|-------|-------| | name/dosya uyumsuzlugu | `name: codeReviewer` dosya: `code-reviewer.md` | name'i kebab-case yap | | Description cok kisa | `description: Reviews code` | Ne yaptigini detayla | | Tools yanlis format | `tools: Read, Bash` | `tools: ["Read", "Bash"]` | | Bos agent dosyasi | Sadece frontmatter, body yok | System prompt ekle | | Duplicate name | 2 agent ayni name'e sahip | Benzersiz isim ver | | Skill klasor/name uyumsuz | `name: tdd` klasor: `tdd-workflow/` | Eslestir |
## Toplu Lint Raporu
```bash # Tum agent'lari tara, rapor uret cd ~/vibecosystem bash scripts/lint-agents.sh 2>&1 | tee lint-report.txt
# Sadece ERROR'lari goster grep "^ERROR" lint-report.txt
# Istatistik echo "Agents: $(ls agents/*.md | wc -l)" echo "Skills: $(ls skills/*/SKILL.md skills/*/skill.md 2>/dev/null | wc -l)" echo "Errors: $(grep -c ERROR lint-report.txt)" echo "Warnings: $(grep -c WARN lint-report.txt)" ```
## vibecosystem Entegrasyonu
- **verifier agent**: Lint'i final quality gate'e ekle - **qa-engineer agent**: Yeni agent/skill PR'larinda lint calistir - **self-learner agent**: Lint hatalari pattern olarak ogren - **catalyst agent**: Scaffold sırasinda lint-uyumlu dosya uret - **/commit skill**: Commit oncesi agent/skill dosyalarini lint'le
Source provenance
Decision snapshot
530 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-linter, ready for a manual X post.
A practical pick for a repeatable workflow: agent-linter: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik... 530 stars https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x
Listing + install path for agent-linter: https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x Install: npx skills add vibeeval/vibecosystem --skill agent-linter
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to vibeeval but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter/audit)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)vibeeval
@vibeeval
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
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88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "agent-linter" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/agent-linter. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"vibeeval-agent-linter","task":"Install agent-linter","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add vibeeval/vibecosystem --skill agent-linter
Maintenance
fresh
27d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
530
74/100 Quality · 77/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
530 GitHub stars
Repo activity
530 stars, 44 forks
Maintenance
27d since push
License
MIT
Install
npx skills add vibeeval/vibecosystem --skill agent-linter
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add vibeeval/vibecosystem --skill agent-linterDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/vibeeval-agent-linter/install
Agent should check
Copy prompt
Task: Use agent-linter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-linter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install
Install command: npx skills add vibeeval/vibecosystem --skill agent-linter
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/vibeeval-agent-linter/install
LLM text format
/api/skills/vibeeval-agent-linter/install?format=text
Find alternatives
/api/skills/search?q=agent-linter&limit=3
Agent prompt
Use agent-linter for this task. Review https://www.openagentskill.com/api/skills/vibeeval-agent-linter/install, then install with: npx skills add vibeeval/vibecosystem --skill agent-linterRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/vibeeval-agent-linter
LLM text
/api/registry/manifest/vibeeval-agent-linter?format=text
Install alias
/api/registry/install/vibeeval-agent-linter
Recommend
/api/registry/recommend?task=Use%20agent-linter%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO530 GitHub stars
Stars/forks activity
INFO530 stars, 44 forks; issue activity unavailable in current metadata
Recent maintenance
PASS27d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
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--- name: agent-linter description: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik denetimi. Yeni agent/skill eklendiginde veya mevcut dosyalar duzenlediginde otomatik calistirilir. ---
# Agent & Skill Linter
Agent ve skill dosyalarinin kalite kontrolu. Yanlis yapilandirilmis dosyalar runtime'da sessizce basarisiz olur -- linter bunu onler.
## Agent Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: agent-adi # kebab-case, dosya adiyla AYNI olmali description: Tek satir # 20-200 karakter arasi tools: ["Read", "Bash"] # Gecerli tool listesi model: opus # Opsiyonel: opus | sonnet --- ```
### Frontmatter Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | `name` mevcut | Frontmatter'da name var mi? | ERROR | | `name` = dosya adi | `name: sleuth` == `sleuth.md` | ERROR | | `name` kebab-case | `code-reviewer` OK, `codeReviewer` FAIL | ERROR | | `description` mevcut | Bos olmamali | ERROR | | `description` uzunlugu | 20-200 karakter | WARN | | `tools` array | String array olmali | ERROR | | `tools` gecerli | Sadece bilinen tool isimleri | WARN | | `model` gecerli | opus, sonnet veya bos | ERROR |
### Body Kurallari
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | System prompt var | Frontmatter'dan sonra icerik var | ERROR | | 50+ satir | Cok kisa agent tanimlari yetersiz | WARN | | 2000 satir max | Cok uzun dosyalar token israf eder | WARN | | Markdown basliklar | En az 1 `##` basligi var | WARN |
## Skill Dosyasi Kurallari
### Frontmatter (ZORUNLU)
```yaml --- name: skill-adi # kebab-case description: Aciklama # 20-300 karakter --- ```
### Skill Validasyonu
| Kural | Kontrol | Hata Seviyesi | |-------|---------|---------------| | Dosya adi | `SKILL.md` veya `skill.md` | ERROR | | `name` mevcut | Frontmatter'da | ERROR | | `name` = klasor adi | `name: tdd-workflow` == `skills/tdd-workflow/` | WARN | | `description` mevcut | Bos olmamali | ERROR | | Icerik var | Frontmatter'dan sonra en az 20 satir | WARN | | Kod ornegi var | En az 1 code block | INFO |
## Lint Calistirma
### Bash Script
```bash #!/bin/bash # scripts/lint-agents.sh
ERRORS=0 WARNS=0
lint_agent() { local file="$1" local name=$(basename "$file" .md)
# Frontmatter kontrolu if ! head -1 "$file" | grep -q "^---"; then echo "ERROR: $file - frontmatter yok" ERRORS=$((ERRORS + 1)) return fi
# name field kontrolu local fm_name=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^name:" | sed 's/name: *//') if [ -z "$fm_name" ]; then echo "ERROR: $file - name field yok" ERRORS=$((ERRORS + 1)) elif [ "$fm_name" != "$name" ]; then echo "ERROR: $file - name '$fm_name' != dosya adi '$name'" ERRORS=$((ERRORS + 1)) fi
# description kontrolu local desc=$(sed -n '/^---$/,/^---$/p' "$file" | grep "^description:") if [ -z "$desc" ]; then echo "ERROR: $file - description yok" ERRORS=$((ERRORS + 1)) fi
# Uzunluk kontrolu local lines=$(wc -l < "$file") if [ "$lines" -lt 10 ]; then echo "WARN: $file - cok kisa ($lines satir)" WARNS=$((WARNS + 1)) elif [ "$lines" -gt 2000 ]; then echo "WARN: $file - cok uzun ($lines satir)" WARNS=$((WARNS + 1)) fi }
echo "=== Agent Linter ===" for f in agents/*.md; do lint_agent "$f" done
echo "" echo "=== Skill Linter ===" for f in skills/*/SKILL.md skills/*/skill.md; do [ -f "$f" ] && lint_agent "$f" done
echo "" echo "Sonuc: $ERRORS error, $WARNS warning" [ "$ERRORS" -gt 0 ] && exit 1 || exit 0 ```
### CI Entegrasyonu
```yaml # .github/workflows/lint-agents.yml name: Agent & Skill Lint on: pull_request: paths: ['agents/**', 'skills/**']
jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: bash scripts/lint-agents.sh ```
## Yaygin Hatalar
| Hata | Ornek | Cozum | |------|-------|-------| | name/dosya uyumsuzlugu | `name: codeReviewer` dosya: `code-reviewer.md` | name'i kebab-case yap | | Description cok kisa | `description: Reviews code` | Ne yaptigini detayla | | Tools yanlis format | `tools: Read, Bash` | `tools: ["Read", "Bash"]` | | Bos agent dosyasi | Sadece frontmatter, body yok | System prompt ekle | | Duplicate name | 2 agent ayni name'e sahip | Benzersiz isim ver | | Skill klasor/name uyumsuz | `name: tdd` klasor: `tdd-workflow/` | Eslestir |
## Toplu Lint Raporu
```bash # Tum agent'lari tara, rapor uret cd ~/vibecosystem bash scripts/lint-agents.sh 2>&1 | tee lint-report.txt
# Sadece ERROR'lari goster grep "^ERROR" lint-report.txt
# Istatistik echo "Agents: $(ls agents/*.md | wc -l)" echo "Skills: $(ls skills/*/SKILL.md skills/*/skill.md 2>/dev/null | wc -l)" echo "Errors: $(grep -c ERROR lint-report.txt)" echo "Warnings: $(grep -c WARN lint-report.txt)" ```
## vibecosystem Entegrasyonu
- **verifier agent**: Lint'i final quality gate'e ekle - **qa-engineer agent**: Yeni agent/skill PR'larinda lint calistir - **self-learner agent**: Lint hatalari pattern olarak ogren - **catalyst agent**: Scaffold sırasinda lint-uyumlu dosya uret - **/commit skill**: Commit oncesi agent/skill dosyalarini lint'le
Source provenance
Decision snapshot
530 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for agent-linter, ready for a manual X post.
A practical pick for a repeatable workflow: agent-linter: Agent ve skill dosyalarinin yapisal dogrulamasi. Frontmatter kontrol, naming convention, zorunlu bolum kontrolu, tutarlilik... 530 stars https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x
Listing + install path for agent-linter: https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=x Install: npx skills add vibeeval/vibecosystem --skill agent-linter
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[](https://www.openagentskill.com/skills/vibeeval-agent-linter/audit)
[](https://www.openagentskill.com/skills/vibeeval-agent-linter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)vibeeval
@vibeeval
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24.7K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness