loonghao/agentverse/workflow-ci-review-pipeline
Claude Code and agent skill by loonghao/agentverse
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Checking that the SKILL.md file is still in the repository.
An agent-driven PR review workflow that constrains step-by-step execution: the agent triages PR scope, branches by review depth, invokes code-reviewer skills, and terminates with approve or request-changes — all guided by a declarative state machine.
Install
npx vskill@latest install loonghao/agentverse/workflow-ci-review-pipelineSKILL.md
Workflow: CI Review Pipeline
A workflow artifact defines the step-by-step orchestration logic that constrains how an Agent executes. It is a declarative state machine: each step tells the agent what to do, what to write into the shared context, and which condition determines the next step. The agent is the executor — the workflow is the script it must follow.
Core Concepts
| Concept | Description | |
|---|---|---|
entry | The first step the agent executes | |
context | Typed shared state — agents read from and write to it across all steps | |
decision | A step where the agent reasons and sets context keys (no external skill) | |
skill | A step that invokes an AgentVerse skill and writes outputs to context | |
transitions | Conditional routing rules — evaluated in order after each step | |
writes | Declares which context keys a step is allowed to modify | |
__end__ | Special goto target that terminates the workflow |
Workflow Manifest (workflow.toml)
State Machine Diagram
The agent follows this state machine step by step:
- `triage` — agent reasons about PR size and writes
depthto context - Transitions route to `full-review` or `quick-check` based on
depth - Each review step writes
scoreandissuesto context - Transitions route to `approve` or `request-changes` based on
score - Terminal steps go to `__end__`
AgentVerse Content (content.json)
Publish and Run
Framework Compatibility
| Framework | Mapping | |
|---|---|---|
| LangGraph | Steps → nodes; transitions → conditional edges; context → state | |
| CrewAI Flows | Steps → @listen/@router; context → self.state | |
| OpenAI Swarm | Steps → routines; agent steps → handoffs | |
| Prefect | Steps → tasks; parallel → asyncio.gather; loop → retry |
Notes
- Context is the single source of truth — all steps read from and write to it.
- `writes` is enforced — a step cannot touch context keys it hasn't declared.
- `decision` steps require no external tool — the agent itself reasons and writes.
- Transitions are ordered — the first matching
whenwins; omitwhenfor a catch-all. - Combine with a
soulartifact to give the agent a consistent persona across all steps.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/workflow-ci-review-pipeline/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Mentat
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- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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