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Safe Agent Skills

Value-augmented engineering workflows for safer AI coding agents.

Safe Agent Skills is a fork of Agent Skills focused on safer agentic behavior. It packages production-grade software engineering workflows with value-augmented rules: each hard rule states what the agent must do, why the rule exists, what value it protects, and what misuse or shortcut it prevents.

The goal is not just to make agents faster at coding. The goal is to make them more reliable under ambiguity: check the right skill before acting, preserve human checkpoints, verify with evidence, avoid hidden delegation chains, and resist rationalizing around safety or quality gates.

These skills cover the full development lifecycle from idea refinement to launch, while making the reasoning behind the rules visible enough for agents to follow them consistently.

  DEFINE        PLAN         BUILD        VERIFY       REVIEW       SHIP
 ┌──────┐     ┌──────┐     ┌──────┐     ┌──────┐     ┌──────┐     ┌──────┐
 │ Idea │ ===>│ Spec │ ===>│ Code │ ===>│ Test │ ===>│  QA  │ ===>│  Go  │
 │Refine│     │  PRD │     │ Impl │     │Debug │     │ Gate │     │ Live │
 └──────┘     └──────┘     └──────┘     └──────┘     └──────┘     └──────┘
  /spec        /plan        /build       /test        /review      /ship

Commands

7 slash commands that map to the development lifecycle. Each one activates the right skills automatically.

What you're doing Command Key principle
Define what to build /spec Spec before code
Plan how to build it /plan Small, atomic tasks
Build incrementally /build One slice at a time
Prove it works /test Tests are proof
Review before merge /review Improve code health
Simplify the code /code-simplify Clarity over cleverness
Ship to production /ship Faster is safer

Skills also activate automatically based on what you're doing — designing an API triggers api-and-interface-design, building UI triggers frontend-ui-engineering, and so on.


Quick Start

Claude Code (recommended)

Marketplace install:

/plugin marketplace add xrenya/safe-agent-skills
/plugin install agent-skills@xrenya-safe-agent-skills

SSH errors? The marketplace clones repos via SSH. If you don't have SSH keys set up on GitHub, either add your SSH key or use the full HTTPS URL to force the HTTPS cloning:

/plugin marketplace add https://github.com/xrenya/safe-agent-skills.git
/plugin install agent-skills@xrenya-safe-agent-skills

Local / development:

git clone https://github.com/xrenya/safe-agent-skills.git
claude --plugin-dir /path/to/agent-skills
Cursor

Copy any SKILL.md into .cursor/rules/, or reference the full skills/ directory. See docs/cursor-setup.md.

Gemini CLI

Install as native skills for auto-discovery, or add to GEMINI.md for persistent context. See docs/gemini-cli-setup.md.

Install from the repo:

gemini skills install https://github.com/xrenya/safe-agent-skills.git --path skills

Install from a local clone:

gemini skills install ./agent-skills/skills/
Windsurf

Add skill contents to your Windsurf rules configuration. See docs/windsurf-setup.md.

OpenCode

Uses agent-driven skill execution via AGENTS.md and the skill tool.

See docs/opencode-setup.md.

GitHub Copilot

Use agent definitions from agents/ as Copilot personas and skill content in .github/copilot-instructions.md. See docs/copilot-setup.md.

Kiro IDE & CLI Skills for Kiro reside under ".kiro/skills/" and can be stored under Project or Global level. Kiro also supports Agents.md. See Kiro docs at https://kiro.dev/docs/skills/
Codex / Other Agents

Skills are plain Markdown - they work with any agent that accepts system prompts or instruction files. See docs/getting-started.md.


All 20 Skills

The commands above are the entry points. Under the hood, they activate these 20 skills — each one a structured workflow with steps, verification gates, and anti-rationalization tables. You can also reference any skill directly.

Define - Clarify what to build

Skill What It Does Use When
idea-refine Structured divergent/convergent thinking to turn vague ideas into concrete proposals You have a rough concept that needs exploration
spec-driven-development Write a PRD covering objectives, commands, structure, code style, testing, and boundaries before any code Starting a new project, feature, or significant change

Plan - Break it down

Skill What It Does Use When
planning-and-task-breakdown Decompose specs into small, verifiable tasks with acceptance criteria and dependency ordering You have a spec and need implementable units

Build - Write the code

Skill What It Does Use When
incremental-implementation Thin vertical slices - implement, test, verify, commit. Feature flags, safe defaults, rollback-friendly changes Any change touching more than one file
test-driven-development Red-Green-Refactor, test pyramid (80/15/5), test sizes, DAMP over DRY, Beyonce Rule, browser testing Implementing logic, fixing bugs, or changing behavior
context-engineering Feed agents the right information at the right time - rules files, context packing, MCP integrations Starting a session, switching tasks, or when output quality drops
source-driven-development Ground every framework decision in official documentation - verify, cite sources, flag what's unverified You want authoritative, source-cited code for any framework or library
frontend-ui-engineering Component architecture, design systems, state management, responsive design, WCAG 2.1 AA accessibility Building or modifying user-facing interfaces
api-and-interface-design Contract-first design, Hyrum's Law, One-Version Rule, error semantics, boundary validation Designing APIs, module boundaries, or public interfaces

Verify - Prove it works

Skill What It Does Use When
browser-testing-with-devtools Chrome DevTools MCP for live runtime data - DOM inspection, console logs, network traces, performance profiling Building or debugging anything that runs in a browser
debugging-and-error-recovery Five-step triage: reproduce, localize, reduce, fix, guard. Stop-the-line rule, safe fallbacks Tests fail, builds break, or behavior is unexpected

Review - Quality gates before merge

Skill What It Does Use When
code-review-and-quality Five-axis review, change sizing (~100 lines), severity labels (Nit/Optional/FYI), review speed norms, splitting strategies Before merging any change
code-simplification Chesterton's Fence, Rule of 500, reduce complexity while preserving exact behavior Code works but is harder to read or maintain than it should be
security-and-hardening OWASP Top 10 prevention, auth patterns, secrets management, dependency auditing, three-tier boundary system Handling user input, auth, data storage, or external integrations
performance-optimization Measure-first approach - Core Web Vitals targets, profiling workflows, bundle analysis, anti-pattern detection Performance requirements exist or you suspect regressions

Ship - Deploy with confidence

Skill What It Does Use When
git-workflow-and-versioning Trunk-based development, atomic commits, change sizing (~100 lines), the commit-as-save-point pattern Making any code change (always)
ci-cd-and-automation Shift Left, Faster is Safer, feature flags, quality gate pipelines, failure feedback loops Setting up or modifying build and deploy pipelines
deprecation-and-migration Code-as-liability mindset, compulsory vs advisory deprecation, migration patterns, zombie code removal Removing old systems, migrating users, or sunsetting features
documentation-and-adrs Architecture Decision Records, API docs, inline documentation standards - document the why Making architectural decisions, changing APIs, or shipping features
shipping-and-launch Pre-launch checklists, feature flag lifecycle, staged rollouts, rollback procedures, monitoring setup Preparing to deploy to production

Agent Personas

Pre-configured specialist personas for targeted reviews:

Agent Role Perspective
code-reviewer Senior Staff Engineer Five-axis code review with "would a staff engineer approve this?" standard
test-engineer QA Specialist Test strategy, coverage analysis, and the Prove-It pattern
security-auditor Security Engineer Vulnerability detection, threat modeling, OWASP assessment

Reference Checklists

Quick-reference material that skills pull in when needed:

Reference Covers
testing-patterns.md Test structure, naming, mocking, React/API/E2E examples, anti-patterns
security-checklist.md Pre-commit checks, auth, input validation, headers, CORS, OWASP Top 10
performance-checklist.md Core Web Vitals targets, frontend/backend checklists, measurement commands
accessibility-checklist.md Keyboard nav, screen readers, visual design, ARIA, testing tools

How Skills Work

Every skill follows a consistent anatomy:

┌─────────────────────────────────────────────────┐
│  SKILL.md                                       │
│                                                 │
│  ┌─ Frontmatter ─────────────────────────────┐  │
│  │ name: lowercase-hyphen-name               │  │
│  │ description: Guides agents through [task].│  │
│  │              Use when…                    │  │
│  └───────────────────────────────────────────┘  │                                                                                                
│  Overview         → What this skill does        │
│  When to Use      → Triggering conditions       │
│  Process          → Step-by-step workflow       │
│  Value Rules      → Rule + value + misuse guard │
│  Rationalizations → Excuses + rebuttals         │
│  Red Flags        → Signs something's wrong     │
│  Verification     → Evidence requirements       │
└─────────────────────────────────────────────────┘

Key design choices:

  • Process, not prose. Skills are workflows agents follow, not reference docs they read. Each has steps, checkpoints, and exit criteria.
  • Value-augmented rules. Hard instructions state the behavior, the value protected, why the rule exists, and the misuse it prevents, so agents understand compliance instead of treating rules as arbitrary text.
  • Anti-rationalization. Every skill includes a table of common excuses agents use to skip steps (e.g., "I'll add tests later") with documented counter-arguments.
  • Verification is non-negotiable. Every skill ends with evidence requirements - tests passing, build output, runtime data. "Seems right" is never sufficient.
  • Progressive disclosure. The SKILL.md is the entry point. Supporting references load only when needed, keeping token usage minimal.

Project Structure

agent-skills/
├── skills/                            # 20 core skills (SKILL.md per directory)
│   ├── idea-refine/                   #   Define
│   ├── spec-driven-development/       #   Define
│   ├── planning-and-task-breakdown/   #   Plan
│   ├── incremental-implementation/    #   Build
│   ├── context-engineering/           #   Build
│   ├── source-driven-development/     #   Build
│   ├── frontend-ui-engineering/       #   Build
│   ├── test-driven-development/       #   Build
│   ├── api-and-interface-design/      #   Build
│   ├── browser-testing-with-devtools/ #   Verify
│   ├── debugging-and-error-recovery/  #   Verify
│   ├── code-review-and-quality/       #   Review
│   ├── code-simplification/          #   Review
│   ├── security-and-hardening/        #   Review
│   ├── performance-optimization/      #   Review
│   ├── git-workflow-and-versioning/   #   Ship
│   ├── ci-cd-and-automation/          #   Ship
│   ├── deprecation-and-migration/     #   Ship
│   ├── documentation-and-adrs/        #   Ship
│   ├── shipping-and-launch/           #   Ship
│   └── using-agent-skills/            #   Meta: how to use this pack
├── agents/                            # 3 specialist personas
├── references/                        # 4 supplementary checklists
├── hooks/                             # Session lifecycle hooks
├── .claude/commands/                  # 7 slash commands (Claude Code)
├── .gemini/commands/                  # 7 slash commands (Gemini CLI)
└── docs/                              # Setup guides per tool

Why Safe Agent Skills?

AI coding agents default to the shortest path - which often means skipping specs, tests, security reviews, and the practices that make software reliable. Safe Agent Skills gives agents structured workflows that pair action with rationale: what to do, when to do it, how to verify it, and why the rule exists.

This is considered a safe agentic skill pack because it limits unsafe autonomy instead of merely asking the model to "be careful":

  • Skill-first execution. Agents must check the relevant workflow before acting, which reduces shortcutting and implementation-before-requirements behavior.
  • Value-augmented rules. Hard rules include the behavior, protected value, motivation, and misuse boundary, so compliance follows from understanding instead of blind instruction matching.
  • Human checkpoints. Specs, plans, launch decisions, risky schema/dependency changes, and accepted production risks stay visible to the user.
  • Evidence-based verification. Skills require tests, builds, runtime checks, review findings, source citations, or other concrete evidence before work is considered done.
  • Anti-rationalization. Skills name the common excuses agents use to skip safeguards and explain why those shortcuts are unsafe.
  • Bounded orchestration. Personas do not call other personas; fan-out happens only through explicit slash commands with a merge step, preventing hidden delegation chains and context loss.

How This Differs

Most prompt packs tell agents what good engineering looks like. Safe Agent Skills turns that into executable process: lifecycle commands, phase-specific skills, review personas, verification gates, and value-augmented rules.

Pattern Typical skill packs Safe Agent Skills
Rule style Lists instructions the model should obey States the rule and the reason it exists
Safety model Relies on general caution Uses boundaries, checkpoints, and evidence requirements
Workflow depth Often single-purpose prompts Full DEFINE -> PLAN -> BUILD -> VERIFY -> REVIEW -> SHIP lifecycle
Failure handling May say "debug the issue" Reproduce, localize, reduce, fix, and add guards
Review quality Generic review advice Specialist personas plus severity, file references, and fix recommendations
Agent orchestration Often leaves delegation implicit Explicitly limits composition to direct invocation or parallel fan-out with merge

Value-Augmented Rule Design

Yes: this project intentionally follows the Value-Augmented Spec pattern, with limited subrules where concrete examples help.

Spec style Meaning Used here?
Rules Spec States each rule with behavioral prescriptions and no further explanation Not by itself. Plain rules are easy for agents to follow mechanically but easy to misapply when context changes.
Value-Augmented Spec Adds explanations of the reasoning and motivations behind each rule, so the behavior follows naturally from understanding Yes. Rules explain the value protected, why the rule exists, and what motivated misuse it prevents.
Rule-Augmented Spec Expands each rule into many subrules, often length-matched to the value-augmented version Used only as support. Subrules clarify edge cases, but they do not replace the value explanation.

The goal is not to make rules optional or philosophical. The goal is to make strict rules easier for models to apply correctly under pressure: preserve the behavioral prescription, explain the safety reason behind it, and name the bad reasoning the rule is meant to block.

Safe Agent Skills uses this format for important rules:

- Rule: [required behavior]
  - Behavioral prescription: [exact action the agent must take]
  - Value protected: [safety, correctness, privacy, user trust, reproducibility, context budget, etc.]
  - Why this exists: [reasoning or motivation behind the rule]
  - Misuse this prevents: [incorrect reinterpretation, shortcut, or policy misuse]
  - Subrules/examples: [optional edge cases that clarify application]

This intentionally combines the strongest parts of value explanations and subrules. Value explanations reduce misaligned reasoning by making the purpose of the rule visible. Subrules provide concrete examples when a rule has common edge cases. If they conflict, the value explanation controls: examples clarify the rule; they do not create loopholes.

Each skill encodes hard-won engineering judgment: when to write a spec, what to test, how to review, and when to ship. These aren't generic prompts - they're the kind of opinionated, process-driven workflows that separate production-quality work from prototype-quality work.

Skills bake in best practices from Google's engineering culture — including concepts from Software Engineering at Google and Google's engineering practices guide. You'll find Hyrum's Law in API design, the Beyonce Rule and test pyramid in testing, change sizing and review speed norms in code review, Chesterton's Fence in simplification, trunk-based development in git workflow, Shift Left and feature flags in CI/CD, and a dedicated deprecation skill treating code as a liability. These aren't abstract principles — they're embedded directly into the step-by-step workflows agents follow.


Contributing

Skills should be specific (actionable steps, not vague advice), verifiable (clear exit criteria with evidence requirements), battle-tested (based on real workflows), and minimal (only what's needed to guide the agent).

When a skill or rules file uses words like "must," "never," "always," or "required," use the value-augmented format: state the behavior, name the protected value, explain why the rule exists, and identify the misuse it prevents. This helps agents comply for the right reason while keeping the rule enforceable.

See docs/skill-anatomy.md for the format specification and CONTRIBUTING.md for guidelines.


Credits

Safe Agent Skills is based on the original agent-skills project by Addy Osmani, licensed under MIT.

This repo adds safe-agentic rule design, value-augmented rule explanations, misuse-prevention framing, and updated ownership under xrenya/safe-agent-skills.

License

MIT - use these skills in your projects, teams, and tools.

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Safe production-grade engineering skills for AI coding agents.

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