Codegraph
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add colbymchenry/codegraph
Maintenance
fresh
12d since push
Risk
Safe to try
No major risk signals from available metadata
GitHub quality
54K
100/100 quality · 96/100 trust
Coverage tags
Review notes
No major risk signals from available metadata
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Agent install candidate
Use as the primary candidate after human or sandbox review.
Stars
54K GitHub stars
Repo activity
54K stars, 3.3K forks
Maintenance
12d since push
License
MIT
Install
npx skills add colbymchenry/codegraph
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- No major trust warnings detected from available metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Coding agents workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add colbymchenry/codegraph
- Policy
- allow
- Human review
- no
Trust and risk
- Trust
- 93/100
- Audit
- 96/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add colbymchenry/codegraphDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- No major trust warnings detected from available metadata
- Production credentials, payments, or irreversible account changes without explicit human review
Alternative
Graphify
79.1K stars
npx skills add Graphify-Labs/graphify
Alternative
Gemini CLI
105.8K stars
npx skills add google-gemini/gemini-cli
Alternative
System Prompts And Models Of AI Tools
141.2K stars
npx skills add x1xhlol/system-prompts-and-models-of-ai-tools
Alternative
Caveman
86.2K stars
npx skills add JuliusBrussee/caveman
Agent safety v2
92/100 · Safe to install with normal review
Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.
Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add colbymchenry/codegraphAgent resolve plan
Let an agent verify fit before installing.
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.
Resolve JSON
/api/agent/resolve?task=Use%20Codegraph%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Codegraph%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/colbymchenry-codegraph/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Codegraph in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Codegraph%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/colbymchenry-codegraph/install
Install command: npx skills add colbymchenry/codegraph
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/colbymchenry-codegraph/install
LLM text format
/api/skills/colbymchenry-codegraph/install?format=text
Find alternatives
/api/skills/search?q=Codegraph&limit=3
Agent prompt
Use Codegraph for this task. Review https://www.openagentskill.com/api/skills/colbymchenry-codegraph/install, then install with: npx skills add colbymchenry/codegraphRegistry metadata
Agent-readable profile for automatic skill selection.
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/colbymchenry-codegraph
LLM text
/api/registry/manifest/colbymchenry-codegraph?format=text
Install alias
/api/registry/install/colbymchenry-codegraph
Recommend
/api/registry/recommend?task=Use%20Codegraph%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
TypeScript, Claude Code, OpenAI Agents, Cursor
Audit report
Safe to try · 96/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Coding agents
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
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 54,236 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 253 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Review then install
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS54K GitHub stars
Stars/forks activity
PASS54K stars, 3.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS12d since push
License clarity
PASSMIT
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Large GitHub adoption signal
- Install command has no obvious high-risk pattern
- OpenAgentSkill usage activity detected
- Outcome loop is ready but needs first real agent run
Review before install
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Analyze matches
Sports analytics
I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Graphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Gemini CLI
Bring a coding agent directly into the terminal
System Prompts And Models Of AI Tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Overview
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/25/2026
- Published
- 5/23/2026
Frameworks & Tools
Decision snapshot
Primary pick
54,236 GitHub stars
Audit snapshot
Install review
Install and adoption review
- Security
- 90/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent Proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Codegraph, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Codegraph gives coding agents a repeatable way to plan, patch, review, or ship. 54.2K stars https://www.openagentskill.com/skills/colbymchenry-codegraph?ref=x #AIAgents
Optional reply with install command
Listing + install path for Codegraph: https://www.openagentskill.com/skills/colbymchenry-codegraph?ref=x Install: npx skills add colbymchenry/codegraph
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- colbymchenry
- Source
- colbymchenry/codegraph
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to colbymchenry 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.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/colbymchenry-codegraph)Author
colbymchenry✓
@colbymchenry
Platform Fit
Health Signals
- GitHub stars
- 54.2K
- Quality score
- 76/100
- Last GitHub push
- Jun 24, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 119
- Install copies
- 10
- Outbound clicks
- 17
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Review then install
- GitHub adoption54K GitHub starsPASS
- Stars/forks activity54K stars, 3.3K forks; issue activity unavailable in current metadataPASS
- Recent maintenance12d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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