The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated packs: skills, subagents, and hooks, each installed in one line. It's npm for your coding agent. Any agent, any stack — Claude Code, Codex, Cursor, Copilot, Gemini, Kiro.
Supply asset profile
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 eugenelim/agent-ready-repo
Maintenance
fresh
2d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
12
71/100 quality · 73/100 trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
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 reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
12 GitHub stars
Repo activity
12 stars, 4 forks
Maintenance
2d since push
License
Apache-2.0
Install
npx skills add eugenelim/agent-ready-repo
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
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 eugenelim/agent-ready-repoDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add eugenelim/agent-ready-repoAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20Agent%20Ready%20Repo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Agent%20Ready%20Repo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/eugenelim-agent-ready-repo/install
Agent should check
Copy prompt
Task: Use Agent Ready Repo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Agent%20Ready%20Repo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/eugenelim-agent-ready-repo/install
Install command: npx skills add eugenelim/agent-ready-repo
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/eugenelim-agent-ready-repo/install
LLM text format
/api/skills/eugenelim-agent-ready-repo/install?format=text
Find alternatives
/api/skills/search?q=Agent%20Ready%20Repo&limit=3
Agent prompt
Use Agent Ready Repo for this task. Review https://www.openagentskill.com/api/skills/eugenelim-agent-ready-repo/install, then install with: npx skills add eugenelim/agent-ready-repoRegistry 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/eugenelim-agent-ready-repo
LLM text
/api/registry/manifest/eugenelim-agent-ready-repo?format=text
Install alias
/api/registry/install/eugenelim-agent-ready-repo
Recommend
/api/registry/recommend?task=Use%20Agent%20Ready%20Repo%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents, Cursor
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
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
FIX12 GitHub stars
Stars/forks activity
FIX12 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSApache-2.0
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
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Stack fit
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
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# agent-ready-repo
**The supervised AI operating model for software teams.**
``` Raw idea → Gate: Idea → Spec → Gate: Spec → Shipped code → Gate: PR → Production ```
[](https://pypi.org/project/agentbundle/) [](#license) [](https://owasp.org/www-project-agentic-skills-top-10/)
[Quick Start](#quick-start) · [The Three Loops](#the-three-loops) · [The Catalogue](#the-catalogue) · [Docs](docs/guides/) · [Contributing](CONTRIBUTING.md)
> "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." — [Peter Steinberger](https://x.com/steipete/status/2063697162748260627)
Agent coding tools moved the leverage from the prompt to the loop. But an unattended loop also makes unattended mistakes — and it will self-certify its way out of every check you give it. The answer is a supervised loop with mechanical gates the agent cannot bypass.
Three peer loops span the full SDLC. Discovery takes a raw idea to a ratified brief. The build loop runs spec to shipped code with hard gates and cold-read reviewers. The release loop validates the deployed whole before any human touches a prod switch. Human gates sit at every irreversible handoff; nothing runs past them automatically.
`core` is the flagship pack — the build loop, in one command:
```bash pip install agentbundle agentbundle install --pack core ```
## Quick start
**Install via Claude Code / Claude Desktop** (no extra tooling required):
```bash # Install any pack directly — no CLI to set up claude plugin install https://github.com/eugenelim/agent-ready-repo/tree/claude-plugins-dist/core
# Browse all available packs with install commands # → https://eugenelim.github.io/agent-ready-repo/plugins/ ```
**Or install via agentbundle CLI** (supports all age
Frameworks & Tools
Decision snapshot
recent repository activity
Audit snapshot
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 audit before production use.
Growth loop
Scenario-led draft for Agent Ready Repo, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Agent Ready Repo gives coding agents a repeatable way to plan, patch, review, or ship. 12 stars https://www.openagentskill.com/skills/eugenelim-agent-ready-repo?ref=x #AIAgents
Listing + install path for Agent Ready Repo: https://www.openagentskill.com/skills/eugenelim-agent-ready-repo?ref=x Install: npx skills add eugenelim/agent-ready-repo
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 community indexed listing is attributed to eugenelim 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/eugenelim-agent-ready-repo)
[](https://www.openagentskill.com/skills/eugenelim-agent-ready-repo)
[](https://www.openagentskill.com/skills/eugenelim-agent-ready-repo/audit)
[](https://www.openagentskill.com/skills/eugenelim-agent-ready-repo)eugenelim
@eugenelim
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