Graph-Based Change Review
tirth8205/code-review-graph
Reviews a change set using a code knowledge graph for risk scores, blast radius and test gaps, and ends with a merge recommendation.
Agent skill for code-review-swarm - invoke with $agent-code-review-swarm
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo agent-code-review-swarm --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .claude/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .claude/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarmType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo agent-code-review-swarm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .agents/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .agents/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo agent-code-review-swarm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .cursor/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .cursor/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ruvnet/ruflo.git --path .agents/skills/agent-code-review-swarm--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo agent-code-review-swarm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .gemini/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .gemini/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ruvnet/ruflo agent-code-review-swarmInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .github/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .github/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo agent-code-review-swarm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-code-review-swarm .opencode/skills/agent-code-review-swarm && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-code-review-swarm" agent skill from https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-code-review-swarm into .opencode/skills/agent-code-review-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-code-review-swarm", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-code-review-swarmAgent skill for code-review-swarm - invoke with $agent-code-review-swarm
Agent Code Review Swarm is an agent skill from ruvnet/ruflo. Agent skill for code-review-swarm - invoke with $agent-code-review-swarm
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review. It works with Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit de590e1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxghjqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx and gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Code Review Swarm loads about 3k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 264 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ruvnet/ruflo at commit de590e1, republished under its MIT licence (© ruvnet). 264 words, ~3,046 tokens.
.claude/skills/agent-code-review-swarm/SKILL.md (or your agent's skills folder).name: code-review-swarm description: Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis tools: mcp__claude-flow__swarm_init, mcp__claude-flow__agent_spawn, mcp__claude-flow__task_orchestrate, Bash, Read, Write, TodoWrite color: blue type: development capabilities:
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
# Initialize code review swarm with gh CLI
# Get PR details
PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
PR_DIFF=$(gh pr diff 123)
# Initialize swarm with PR context
npx ruv-swarm github review-init \
--pr 123 \
--pr-data "$PR_DATA" \
--diff "$PR_DIFF" \
--agents "security,performance,style,architecture,accessibility" \
--depth comprehensive
# Post initial review status
gh pr comment 123 --body "🔍 Multi-agent code review initiated"# Security-focused review with gh CLI
# Get changed files
CHANGED_FILES=$(gh pr view 123 --json files --jq '.files[].path')
# Run security review
SECURITY_RESULTS=$(npx ruv-swarm github review-security \
--pr 123 \
--files "$CHANGED_FILES" \
--check "owasp,cve,secrets,permissions" \
--suggest-fixes)
# Post security findings
if echo "$SECURITY_RESULTS" | grep -q "critical"; then
# Request changes for critical issues
gh pr review 123 --request-changes --body "$SECURITY_RESULTS"
# Add security label
gh pr edit 123 --add-label "security-review-required"
else
# Post as comment for non-critical issues
gh pr comment 123 --body "$SECURITY_RESULTS"
fi# Performance analysis
npx ruv-swarm github review-performance \
--pr 123 \
--profile "cpu,memory,io" \
--benchmark-against main \
--suggest-optimizations# Architecture review
npx ruv-swarm github review-architecture \
--pr 123 \
--check "patterns,coupling,cohesion,solid" \
--visualize-impact \
--suggest-refactoring# .github$review-swarm.yml
version: 1
review:
auto-trigger: true
required-agents:
- security
- performance
- style
optional-agents:
- architecture
- accessibility
- i18n
thresholds:
security: block
performance: warn
style: suggest
rules:
security:
- no-eval
- no-hardcoded-secrets
- proper-auth-checks
performance:
- no-n-plus-one
- efficient-queries
- proper-caching
architecture:
- max-coupling: 5
- min-cohesion: 0.7
- follow-patterns// Security checks performed
{
"checks": [
"SQL injection vulnerabilities",
"XSS attack vectors",
"Authentication bypasses",
"Authorization flaws",
"Cryptographic weaknesses",
"Dependency vulnerabilities",
"Secret exposure",
"CORS misconfigurations"
],
"actions": [
"Block PR on critical issues",
"Suggest secure alternatives",
"Add security test cases",
"Update security documentation"
]
}// Performance analysis
{
"metrics": [
"Algorithm complexity",
"Database query efficiency",
"Memory allocation patterns",
"Cache utilization",
"Network request optimization",
"Bundle size impact",
"Render performance"
],
"benchmarks": [
"Compare with baseline",
"Load test simulations",
"Memory leak detection",
"Bottleneck identification"
]
}// Style enforcement
{
"checks": [
"Code formatting",
"Naming conventions",
"Documentation standards",
"Comment quality",
"Test coverage",
"Error handling patterns",
"Logging standards"
],
"auto-fix": [
"Formatting issues",
"Import organization",
"Trailing whitespace",
"Simple naming issues"
]
}// Architecture analysis
{
"patterns": [
"Design pattern adherence",
"SOLID principles",
"DRY violations",
"Separation of concerns",
"Dependency injection",
"Layer violations",
"Circular dependencies"
],
"metrics": [
"Coupling metrics",
"Cohesion scores",
"Complexity measures",
"Maintainability index"
]
}# Review with full context
npx ruv-swarm github review-context \
--pr 123 \
--load-related-prs \
--analyze-impact \
--check-breaking-changes# Learn from past reviews
npx ruv-swarm github review-learn \
--analyze-past-reviews \
--identify-patterns \
--improve-suggestions \
--reduce-false-positives# Analyze related PRs together
npx ruv-swarm github review-batch \
--prs "123,124,125" \
--check-consistency \
--verify-integration \
--combined-impact# .github$workflows$auto-review.yml
name: Automated Code Review
on:
pull_request:
types: [opened, synchronize]
jobs:
swarm-review:
runs-on: ubuntu-latest
steps:
- uses: actions$checkout@v3
with:
fetch-depth: 0
- name: Setup GitHub CLI
run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token
- name: Run Review Swarm
run: |
# Get PR context with gh CLI
PR_NUM=${{ github.event.pull_request.number }}
PR_DATA=$(gh pr view $PR_NUM --json files,title,body,labels)
# Run swarm review
REVIEW_OUTPUT=$(npx ruv-swarm github review-all \
--pr $PR_NUM \
--pr-data "$PR_DATA" \
--agents "security,performance,style,architecture")
# Post review results
echo "$REVIEW_OUTPUT" | gh pr review $PR_NUM --comment -F -
# Update PR status
if echo "$REVIEW_OUTPUT" | grep -q "approved"; then
gh pr review $PR_NUM --approve
elif echo "$REVIEW_OUTPUT" | grep -q "changes-requested"; then
gh pr review $PR_NUM --request-changes -b "See review comments above"
fi// Custom review triggers
{
"triggers": {
"high-risk-files": {
"paths": ["**$auth/**", "**$payment/**"],
"agents": ["security", "architecture"],
"depth": "comprehensive"
},
"performance-critical": {
"paths": ["**$api/**", "**$database/**"],
"agents": ["performance", "database"],
"benchmarks": true
},
"ui-changes": {
"paths": ["**$components/**", "**$styles/**"],
"agents": ["accessibility", "style", "i18n"],
"visual-tests": true
}
}
}# Generate contextual review comments with gh CLI
# Get PR diff with context
PR_DIFF=$(gh pr diff 123 --color never)
PR_FILES=$(gh pr view 123 --json files)
# Generate review comments
COMMENTS=$(npx ruv-swarm github review-comment \
--pr 123 \
--diff "$PR_DIFF" \
--files "$PR_FILES" \
--style "constructive" \
--include-examples \
--suggest-fixes)
# Post comments using gh CLI
echo "$COMMENTS" | jq -c '.[]' | while read -r comment; do
FILE=$(echo "$comment" | jq -r '.path')
LINE=$(echo "$comment" | jq -r '.line')
BODY=$(echo "$comment" | jq -r '.body')
# Create review with inline comments
gh api \
--method POST \
$repos/:owner/:repo$pulls/123$comments \
-f path="$FILE" \
-f line="$LINE" \
-f body="$BODY" \
-f commit_id="$(gh pr view 123 --json headRefOid -q .headRefOid)"
done<!-- Security Issue Template -->
🔒 **Security Issue: [Type]**
**Severity**: 🔴 Critical / 🟡 High / 🟢 Low
**Description**:
[Clear explanation of the security issue]
**Impact**:
[Potential consequences if not addressed]
**Suggested Fix**:
```language
[Code example of the fix]References:
### Batch Comment Management
```bash
# Manage review comments efficiently
npx ruv-swarm github review-comments \
--pr 123 \
--group-by "agent,severity" \
--summarize \
--resolve-outdated# Required status checks
protection_rules:
required_status_checks:
contexts:
- "review-swarm$security"
- "review-swarm$performance"
- "review-swarm$architecture"# Define quality gates
npx ruv-swarm github quality-gates \
--define '{
"security": {"threshold": "no-critical"},
"performance": {"regression": "<5%"},
"coverage": {"minimum": "80%"},
"architecture": {"complexity": "<10"}
}'# Track review effectiveness
npx ruv-swarm github review-metrics \
--period 30d \
--metrics "issues-found,false-positives,fix-rate" \
--export-dashboard# Train on your codebase
npx ruv-swarm github review-train \
--learn-patterns \
--adapt-to-style \
--improve-accuracy// Create custom review agent
class CustomReviewAgent {
async review(pr) {
const issues = [];
// Custom logic here
if (await this.checkCustomRule(pr)) {
issues.push({
severity: 'warning',
message: 'Custom rule violation',
suggestion: 'Fix suggestion'
});
}
return issues;
}
}# Orchestrate complex reviews
npx ruv-swarm github review-orchestrate \
--strategy "risk-based" \
--allocate-time-budget \
--prioritize-critical# Auth system changes
npx ruv-swarm github review-init \
--pr 456 \
--agents "security,authentication,audit" \
--depth "maximum" \
--require-security-approval# Database optimization
npx ruv-swarm github review-init \
--pr 789 \
--agents "performance,database,caching" \
--benchmark \
--profile# New component library
npx ruv-swarm github review-init \
--pr 321 \
--agents "accessibility,style,i18n,docs" \
--visual-regression \
--component-tests# Launch review dashboard
npx ruv-swarm github review-dashboard \
--real-time \
--show "agent-activity,issue-trends,fix-rates"# Generate review reports
npx ruv-swarm github review-report \
--format "markdown" \
--include "summary,details,trends" \
--email-stakeholdersSee also: swarm-pr.md, workflow-automation.md
© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/agent-code-review-swarm of ruvnet/ruflo.
Open the folder on GitHubat commit de590e1
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.
Agent Code Review Swarm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Code Review Swarm this skillruvnet/ruflo | 74k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Graph-Based Change Reviewtirth8205/code-review-graph | 32k | 1 repos | ~331 | Automated safety check: Pass | MIT | |
| YugabyteDB Backport Reviewyugabyte/yugabyte-db | 11k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Liveagent Code ReviewStack-Cairn/LiveAgent | 2.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Code Review Graph Navigatorhandsontable/handsontable | 22k | — | ~939 | Automated safety check: Pass | Custom licence | |
| Code Reviewnteract/semiotic | 2.7k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 |
tirth8205/code-review-graph
Reviews a change set using a code knowledge graph for risk scores, blast radius and test gaps, and ends with a merge recommendation.
yugabyte/yugabyte-db
Checks a YugabyteDB backport revision on Phorge against the original diff it was ported from and flags differences, tracing unexplained code back to master.
Stack-Cairn/LiveAgent
Review an open GitHub pull request or the current local branch and working tree with parallel, independent reviewers and evidence-based validation.
handsontable/handsontable
Queries a pre-built, Tree-sitter-based code graph of the whole monorepo instead of grepping call chains, for exploring, debugging, refactoring or reviewing code.
nteract/semiotic
Review Semiotic pull requests for behavioral bugs, regressions, contract drift, and missing evidence.
Cranot/roam-code
Codebase comprehension via roam-code CLI. An agent skill from Cranot/roam-code.
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Works with
Categories
Agent skill for code-review-swarm - invoke with $agent-code-review-swarm. Agent Code Review Swarm is an agent skill from ruvnet/ruflo.
Agent Code Review Swarm fits situations like: tasks that involve Code review.
Run `npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a claude-code`. Or copy the skill folder (.agents/skills/agent-code-review-swarm in ruvnet/ruflo) into .claude/skills/agent-code-review-swarm in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a codex`. Or copy the skill folder (.agents/skills/agent-code-review-swarm in ruvnet/ruflo) into .agents/skills/agent-code-review-swarm in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-code-review-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-code-review-swarm, .gemini/skills/agent-code-review-swarm, .github/skills/agent-code-review-swarm and .opencode/skills/agent-code-review-swarm in your project.
Going by SKILL.md and its folder, Agent Code Review Swarm needs the command-line tools its instructions call (npx, gh and jq) and credentials named GITHUB_TOKEN. Our summary lists: Node.js; A credential in GITHUB_TOKEN.
SKILL.md contains no URLs. Its commands use npx and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Agent Code Review Swarm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent Code Review Swarm: Graph-Based Change Review (tirth8205/code-review-graph, 32k stars), YugabyteDB Backport Review (yugabyte/yugabyte-db, 11k stars), Liveagent Code Review (Stack-Cairn/LiveAgent, 2.2k stars) and Code Review Graph Navigator (handsontable/handsontable, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.