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Workflow Toolkit

  • 2 repo stars
  • Updated June 24, 2026
  • swannysec/robot-tools

Automates development workflows including comprehensive testing via /verify and staff-level code review via the code-reviewer agent within Claude Code.

About

workflow-toolkit is a Claude Code plugin from swannysec that automates development workflow quality gates. It provides the /verify command for comprehensive test runs and a code-reviewer agent that performs staff-level code evaluations. A developer or team lead reaches for it when they want structured, repeatable review and verification steps that go beyond ad hoc checks before code ships to production.

  • /verify command for comprehensive test execution
  • Staff-level code-reviewer agent for deep reviews
  • Review orchestration across the full codebase
  • Part of swannysec robot-tools collection
  • MIT licensed with commercial restrictions

Workflow Toolkit by the numbers

  • Data as of Jul 7, 2026 (Skillselion catalog sync)
/plugin marketplace add swannysec/robot-tools
/plugin install workflow-toolkit@robot-tools

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repo stars2
Last updatedJune 24, 2026
Repositoryswannysec/robot-tools

What it does

Automates development workflows including comprehensive testing via /verify and staff-level code review via the code-reviewer agent within Claude Code.

Who is it for?

Best when you want structured review and verification workflows before shipping

Skip if: Skip if you have fully automated CI/CD that need no AI-assisted review

What you get

  • test execution report
  • staff-level code review
README.md

Workflow Toolkit

Development workflow automation, review orchestration, and productivity tools for enhanced development workflows.

Features

Commands

Command Description
/dep-check Check dependency health and security before adding to project
/git-branch-cleanup Clean up merged and stale git branches
/git-safe-commit Safe commit workflow with build/test validation
/post-impl-review Post-implementation review for completed features
/verify Run full verification suite (typecheck, lint, test, coverage, audit) before PR or release

Deprecated (Reference Only)

Command Description
/bootstrap-project ⚠️ Deprecated. Bootstrap a new project with Claude Code best practices. Retained for reference patterns only.

Skills

Skill Description
open-sourceror Prepare Claude Code skills, agents, or collections for open-source sharing. Supports standalone repo creation or marketplace integration into existing plugin repos (e.g., robot-tools).
phased-review Multi-stage implementation review with parallel sub-agents, severity-based autonomous fixes, and gated test verification. Runs code quality, architecture, simplicity, documentation, and security reviews in sequence. Supports scope modes: full, code-only, security, simplicity, docs.
safe-skill-install Supply chain security scanning for skill installations. Wraps Cisco skill-scanner to vet skills before installation with static + behavioral analysis. Supports MANUAL (default), AUTO-INSTALL, and SECURE modes. Note: AUTO-INSTALL mode is off by default — scanner evasion is possible for non-Python files where only static YARA patterns apply. Use SECURE mode for high-security environments.
session-retrospective Iterative reflection skill for extracting actionable learnings from Claude Code sessions. Produces agent-ready context documents for future implementation.
plugin-qa Validates plugin manifests, README cross-references, SKILL.md frontmatter, version sync, and keyword coverage. Two modes: validate (check and report) and release-prep (validate + version bump workflow).
gh-aw-helper GitHub Agentic Workflows — write AI-powered automation in natural-language markdown that compiles to secure GitHub Actions. Covers setup, workflow authoring, triggers, safe I/O, security, MCP tools, 14 operational patterns, engine configuration, and troubleshooting.
anti-laziness-guard Three-layer Stop hook that detects and blocks work-skipping rationalizations. Layer 1: regex detection of known laziness phrases. Layer 2: Haiku-evaluated intent detection for premature victory and silent omission. Layer 3: optional agent-based deep verification against task lists and plan files.
docker-sandbox Docker Sandboxes (sbx CLI) — run AI coding agents in isolated microVM environments with credential proxying, network policy enforcement, and custom templates. Covers Claude Code, Codex, Copilot, and Gemini agents. Compatible with Rancher Desktop (Docker Desktop not required).

Agents

Agent Description
code-reviewer Staff-level Rust code review specialist. Focuses on security, reliability, accessibility, and planning implementations.
idempotency-tester Verifies operations are idempotent by running them twice and comparing results. Use for sync operations, data migrations, or API calls.
ops-docs-generator Generates operational documentation (troubleshooting, performance, deployment) by analyzing actual codebase patterns.
review-orchestrator Coordinates multi-phase code reviews by delegating to specialized agents and managing branch/PR workflows.

Installation

Via Marketplace

/plugin marketplace add https://github.com/swannysec/robot-tools
/plugin install workflow-toolkit@robot-tools

Manual Installation

git clone https://github.com/swannysec/robot-tools.git
cd robot-tools
cc --plugin-dir ./workflow-toolkit

Usage

Commands

Commands are invoked with the / prefix:

/dep-check lodash                   # Check if lodash is safe to add
/git-branch-cleanup                 # Clean up merged branches
/git-safe-commit "feat: add login"  # Safe commit with validation
/post-impl-review                   # Review completed implementation
/verify                             # Run full verification suite

Skills

Skills activate automatically via trigger phrases:

open-sourceror:

  • "prepare for open source", "open source this skill"
  • "upload skill to github", "share this agent"
  • "add to marketplace", "add to robot-tools"
  • "create repo for skill", "package for sharing"

phased-review:

  • "phased review", "run review"
  • "validate implementation", "pre-release review"
  • "full review", "security review", "simplicity review", "docs review"

safe-skill-install:

  • "install skill safely", "safe install"
  • "scan skill", "vet this skill"
  • "scan and install", "check skill safety"

session-retrospective:

  • "session retrospective", "retro"
  • "what did we learn", "lessons learned"

plugin-qa:

  • "plugin qa", "validate plugins", "lint plugins"
  • "prepare release", "bump version", "release prep"

gh-aw-helper:

  • "gh-aw", "gh aw", "agentic workflow", "agentic workflows"
  • "create agentic workflow", "compile workflow", "workflow frontmatter"
  • "safe outputs", "safe inputs", "fuzzy schedule", "slash command trigger"

anti-laziness-guard (passive — activates automatically via hooks, no slash command needed):

  • "anti-laziness", "laziness guard", "stop hook"
  • "work skipping", "skip detection", "agent laziness", "premature stop"

docker-sandbox:

  • "docker sandbox", "docker sandboxes", "sbx", "sbx cli"
  • "sbx run", "sbx create", "sandbox agent", "sandbox microvm"
  • "sbx login", "sbx secret", "sbx policy", "sbx branch"
  • "sandbox credential", "sandbox security", "sandbox isolation"
  • "custom sandbox template", "sbx save", "sandbox port forwarding"
  • "sandbox troubleshooting", "rancher desktop sandbox", "sandbox clock drift"
  • "1password sandbox", "op cli sandbox"

Agents

Agents are invoked by Claude Code when their specialized capabilities match the task:

  • code-reviewer: Activated for code review tasks, especially Rust projects
  • idempotency-tester: Use when testing sync operations or migrations
  • ops-docs-generator: Use when creating operational documentation
  • review-orchestrator: Use for comprehensive multi-phase reviews

Example Commands

"Run a phased review in full mode"
"Run a code-only review before I open the PR"
"Prepare this skill for open source sharing"
"Add this skill to robot-tools research-toolkit"
"Safely install skill from https://github.com/org/skill-repo"
"Scan this skill before installing"
"Run a session retrospective on what we learned"
"Review this Rust code for security issues"
"Test if this sync operation is idempotent"
"Generate ops documentation for the deployment process"
"Orchestrate a comprehensive review of this PR"
"Run plugin QA to check consistency"
"Prepare a release for workflow-toolkit"
"Help me create an agentic workflow for issue triage"
"How do I configure safe outputs for gh-aw?"
"Help me set up fuzzy scheduling for a daily workflow"

Security: safe-skill-install Threat Model

The safe-skill-install skill provides supply chain security scanning for skill installations. Because it handles untrusted content by design, its threat model and layered mitigations are documented here.

Threat Landscape

Skills are code that runs with the same privileges as the user. A malicious skill can:

  • Exfiltrate data (environment variables, files, credentials)
  • Modify the system (install backdoors, alter configs)
  • Manipulate the agent (prompt injection to bypass security checks)

Layered Mitigation Architecture

graph TB
    subgraph "Layer 1: Safe Acquisition"
        A[GitHub Archive Download] -->|No git execution| B[Hardened Git Clone Fallback]
        B -->|Hooks disabled, LFS disabled,<br/>symlinks disabled, fsck enabled| C[Downloaded Content]
    end

    subgraph "Layer 2: Post-Download Hardening"
        C --> D[Remove .git directory]
        D --> E[Strip executable bits]
        E --> F[Remove symlinks]
        F --> G[Flag large files]
    end

    subgraph "Layer 3: Deterministic Scanner Gate"
        G --> H[Wrapper Script<br/>scan-skill.sh]
        H -->|"Bash if/else<br/>(no LLM)"| I{SAFE / CAUTION /<br/>UNSAFE / FAILED}
        I -->|FAILED| J[BLOCKED — No install]
    end

    subgraph "Layer 4: Agent Explanation"
        I -->|SAFE/CAUTION/UNSAFE| K[Agent reads wrapper report]
        K -->|"Explains findings<br/>(does NOT judge safety)"| L[User sees report]
    end

    subgraph "Layer 5: Human Decision Gate"
        L --> M{User approves?}
        M -->|No| N[Rejected — No install]
        M -->|Yes| O[Installation]
    end

    subgraph "Layer 6: Post-Install Verification"
        O --> P[Hash comparison<br/>scanned vs installed]
        P -->|Mismatch| Q[Auto-rollback]
    end

    style H fill:#2d6,stroke:#333,color:#fff
    style J fill:#d33,stroke:#333,color:#fff
    style N fill:#d33,stroke:#333,color:#fff
    style Q fill:#d33,stroke:#333,color:#fff

Trust Boundaries

graph LR
    subgraph "Untrusted"
        S1[Skill Content]
        S2[GitHub API Responses]
        S3[Scanner Output Format]
    end

    subgraph "Trusted — Deterministic Code"
        W[Wrapper Script<br/>scan-skill.sh]
    end

    subgraph "Partially Trusted — LLM"
        A[Agent<br/>SKILL.md Instructions]
    end

    subgraph "Trusted — Human"
        U[User Decision]
    end

    S1 -->|"Read by scanner<br/>(never by agent<br/>for decisions)"| W
    S2 -->|"Validated by regex<br/>before use"| W
    S3 -->|"Schema-validated<br/>by wrapper"| W
    W -->|"Structured JSON<br/>report"| A
    A -->|"Plain-language<br/>explanation"| U

    style S1 fill:#d33,stroke:#333,color:#fff
    style S2 fill:#d93,stroke:#333,color:#fff
    style S3 fill:#d93,stroke:#333,color:#fff
    style W fill:#2d6,stroke:#333,color:#fff
    style U fill:#2d6,stroke:#333,color:#fff
    style A fill:#dd3,stroke:#333,color:#000

Known Limitations and Accepted Risks

Limitation Mitigation Residual Risk
Prompt injection in skill content Wrapper makes security decisions, not agent. Agent only explains post-decision. Agent could mislead user's understanding of findings, but cannot change the SAFE/UNSAFE classification.
YARA evasion via obfuscation Wrapper includes basic obfuscation detection (base64, unicode). Behavioral engine covers Python. Non-Python files with sophisticated obfuscation may evade detection. Scanner evasion is possible.
Behavioral analysis is Python-only Noted in every scan report as a known limitation. Bash, JS, TS skills get static analysis only.
TOCTOU for npx installs Post-install hash verification with auto-rollback on mismatch. Brief window between scan and install where content could change.
Scanner itself could be compromised Version pinning recommended. Scanner is a pip dependency. Supply chain risk inherent in all dependency-based tooling.
AUTO-INSTALL bypasses human review Off by default. Documented caution. Falls back to MANUAL for any medium+ finding. Clean scan does not guarantee safety.

What This Skill Is NOT

  • Not a guarantee of safety. No automated tool can certify that arbitrary code is safe. This skill raises the cost of attack and catches common patterns.
  • Not a replacement for code review. For high-value or high-trust scenarios, read the skill source yourself.
  • Not immune to evasion. Determined adversaries can craft skills that evade static and behavioral analysis. The layered approach makes this harder, not impossible.

Requirements

License

MIT License with Commercial Restriction

Related skills

Code Review & Qualitygitdevopstesting

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