agentic-workflow
by Sinu
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
- Enforce risk-gated execution for complex codebase refactors.
- Prevent credential leaks with mandatory safety-gate scanning during tasks.
- Generate comprehensive verification matrices for all code changes.
$5
One-time purchase
Included in download
- Enforce risk-gated execution for complex codebase refactors.
- Prevent credential leaks with mandatory safety-gate scanning during tasks.
- terminal automation included
- Includes example output and usage patterns
See it in action
## Verification - Passed: Unit tests, linting - Failed: 0 - Environment Delta: Node v18 -> v20 - Dependency Scan: Clean ## Summary Report - Commits pending push: [a1b2c3d, e4f5g6h] - Status: Verified & Awaiting human push. Agent did not push to remote.
agentic-workflow
by Sinu
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
$5
One-time purchase
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Enforce risk-gated execution for complex codebase refactors.
- Prevent credential leaks with mandatory safety-gate scanning during tasks.
- terminal automation included
- Includes example output and usage patterns
- Instant install
See it in action
## Verification - Passed: Unit tests, linting - Failed: 0 - Environment Delta: Node v18 -> v20 - Dependency Scan: Clean ## Summary Report - Commits pending push: [a1b2c3d, e4f5g6h] - Status: Verified & Awaiting human push. Agent did not push to remote.
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About This Skill
What it does
The Agentic Workflow is a language-agnostic, risk-aware protocol designed to prevent the four most common AI agent failures: silent assumptions, scope creep, untested deployments, and credential leakage. It transforms vague requests into evidence-based execution by enforcing a multi-stage engineering lifecycle similar to a senior dev's mental model.
Why use this skill
Prompting an AI often results in "hallucinated" progress or unexpected side effects. This skill forces your agent to follow a structured discipline of research, planning, safety-gating, and verification. It is better than raw prompting because it includes built-in guardrails like cascading failure detection, secret scanning, and an absolute "never push" rule for production stability.
Supported tools
- Development Environments: Works inside or outside Git worktrees with filesystem fallback.
- Frameworks: Language-agnostic (Python, Go, Node, Rust, etc.).
- CI/CD: Comprehensive verification matrices and rollback planning.
- Safety: Integrated secret scanning and shell quoting safety protocols.
The Output
Instead of just code, you receive an audit-ready closure report including a Risk Class assessment, a Verification Matrix (Passed/Failed/Unstable), a Scope Check (Planned vs. Actual changes), and a Rollback Strategy. It ensures all work is staged, verified, and ready for human approval.
📖 Learn more: Best Testing & QA Skills for Claude Code →
Use Cases
- Enforce risk-gated execution for complex codebase refactors.
- Prevent credential leaks with mandatory safety-gate scanning during tasks.
- Generate comprehensive verification matrices for all code changes.
- Ensure structured, review-ready branch closures with rollback plans.
How to Install
unzip agentic-workflow.zip -d ~/.claude/skills/Reviews
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