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AI-powered developer workflows for Claude with cost optimization, multi-agent orchestration, and workflow automation.

Project description

Attune AI

Production-ready AI workflows for Claude Code, aligned with Anthropic best practices.

18 multi-agent workflows for code review, security, testing, and release — each backed by specialized Claude subagents with intelligent model routing, budget controls, and structured output. 31 MCP tools. 10 auto-invoking skills. Just type /attune and go.

PyPI Downloads Downloads/month Downloads/week Tests Coverage CodeQL Security Python License

1. Install:

pip install 'attune-ai[developer]'

2. Complete Quick Start →


Key Features

18 Multi-Agent Workflows Code review, security audit, test gen, release prep — each runs a specialist team of 2-6 Claude subagents
31 MCP Tools Every workflow exposed as a native Claude Code tool via Model Context Protocol
10 Auto-Invoking Skills Describe what you need and Claude triggers the right skill automatically
Anthropic Best Practices System prompt separation, per-agent model routing, budget safety nets, structured output
Portable Security Hooks PreToolUse guard blocks eval/exec and path traversal; PostToolUse auto-formats Python
Intelligent Cost Routing Opus for security, Sonnet for analysis, Haiku for scanning — right model per task
Socratic Discovery Workflows ask questions before executing, not the other way around
Budget Controls $0.50 quick / $2.00 standard / $5.00 deep — configurable per workflow

What's New

v5.1 — Full Plugin SDK Compliance

v5.1.0 made attune-ai a fully compliant Claude Code plugin. Every workflow is now reachable as a native MCP tool, every tool is wired through an auto-invoking skill, and security hooks ship with the plugin for zero-config protection.

Feature What It Does
31 MCP tools Every workflow exposed as a native Claude Code tool via Model Context Protocol
10 auto-invoking skills Describe what you need — Claude triggers the right skill automatically
Portable security hooks PreToolUse guard blocks eval/exec and path traversal; PostToolUse auto-formats Python
Plugin SDK frontmatter Skills use argument-hint, disable-model-invocation, and rich trigger descriptions
Architecture analyzer Module structure, circular import detection, and coupling analysis
Deep review tool Multi-pass code review: security, quality, and test gap analysis
v5.1.1 — v5.1.4 patch notes

v5.1.4 — SessionStart welcome hook for first-run discovery, path validation on read paths, TOCTOU fix.

v5.1.3 — Architecture analyzer, deep_review MCP tool (#31), 145+ new tests, commands→skills migration, 7 security findings resolved.

v5.1.2 — 3 security fixes (CWE-22 path traversal in MCP handlers and wizard YAML, CWE-918 SSRF in webhook executor), 73 new tests.

v5.1.1 — 3 new skills from attune-lite (doc-gen, smart-test, fix-test), bringing the plugin to 10 skills total.

v5.0 — Anthropic Best Practices

v5.0.0 aligned all 15 SDK-native workflows with Anthropic's recommended patterns for the Claude Agent SDK. This is the foundation everything else builds on.

Feature What It Does
System prompt separation Each workflow splits persona from task instructions, passed via system_prompt= on ClaudeAgentOptions
Per-agent model routing Security/architect → Opus, quality/planning → Sonnet, lint/coverage → Haiku. Override with env vars
Budget safety nets $0.50 quick / $2.00 standard / $5.00 deep — configurable per workflow, override with ATTUNE_MAX_BUDGET_USD
Cost and usage tracking AgentRunResult captures actual cost, token counts, duration, and session ID from every run
Structured output JSON schema output for code-review and security-audit with confidence scores and findings
26 new SDK tests Budget caps, model routing, cost extraction, structured output adapter
v5.0.1 — v5.0.2 patch notes

v5.0.2 — Fixed all 15 Agent SDK workflows. Added collect_agent_output() to collect from both ResultMessage and AssistantMessage content blocks.

v5.0.1 — Security hardening: memory ownership checks, workspace isolation, MCP rate limiter (60/min), hook import guard (attune.* only), path validation on state manager.


Plugin & Skills

The attune-ai plugin integrates with Claude Code via the /attune command and 10 auto-invoking skills. Skills trigger automatically based on what you describe — no need to memorize commands.

Skills

Skill Triggers On Manual Only?
security-audit "security", "vulnerability", "scan" No
code-quality "review", "quality", "bugs" No
doc-gen "generate docs", "documentation", "docstrings" No
smart-test "test gaps", "generate tests", "coverage" No
fix-test "fix test", "broken test", "test failure" Yes
workflow-orchestration "workflow", "analyze", "test" No
planning "plan", "feature", "architecture" No
refactor-plan "refactor", "tech debt", "simplify" No
release-prep "release", "publish", "deploy" Yes
memory-and-context "memory", "store", "empathy" Yes

Skills marked "Manual Only" have disable-model-invocation: true — they write data or orchestrate agents, so they require explicit invocation (/attune release or /attune-ai:release-prep).

Portable Hooks

The plugin ships two hooks that run automatically:

  • PreToolUsesecurity_guard.py blocks eval(), exec(), path traversal, and rm -rf / in Bash commands; validates file paths in Edit/Write operations
  • PostToolUseformat_on_save.py runs black and ruff --fix on every Python file after Write/Edit

MCP Integration

30 tools organized into 5 categories:

Analysis (6)

security_audit code_review bug_predict performance_audit refactor_plan simplify_code

Testing (3)

test_generation test_audit test_gen_parallel

Documentation (3)

doc_gen doc_audit doc_orchestrator

Release (4)

release_prep health_check dependency_check secure_release

Memory & Context (8)

memory_store memory_retrieve memory_search memory_forget context_get context_set attune_get_level attune_set_level

Utility (6)

auth_status auth_recommend telemetry_stats research_synthesis + 2 MCP resources

All tools are accessible through Claude Code's natural language interface. Describe what you need and Claude invokes the appropriate tool.


Workflows

Every workflow runs as a multi-agent team. Each agent is a specialist — it reads your code with Read, Glob, and Grep tools and reports findings to an orchestrator that synthesizes a unified result.

Workflow Agents What It Does When to Use
code-review security-reviewer, quality-reviewer, perf-reviewer, architect-reviewer 4-perspective code review covering security, quality, performance, and architecture Before merging a PR or after significant changes
security-audit vuln-scanner, secret-detector, auth-reviewer, remediation-planner Finds vulnerabilities, leaked secrets, auth issues, and generates fix plans Pre-release security gate, compliance checks
deep-review security-reviewer, quality-reviewer, test-gap-reviewer Multi-pass deep analysis with configurable focus areas Complex modules needing thorough inspection
perf-audit complexity-analyzer, bottleneck-finder, optimization-advisor Identifies O(n^2) patterns, bottlenecks, and optimization opportunities Slow endpoints, large data processing
bug-predict pattern-scanner, risk-correlator, prevention-advisor Scans for bug-prone patterns and predicts likely failure points Proactive quality — find bugs before users do
health-check test-checker, dep-checker, lint-checker, ci-checker, doc-checker, security-checker Dynamic agent team (2-6 agents based on mode) for project health Daily health monitoring, onboarding to a new repo
test-gen function-identifier, test-designer, test-writer Identifies untested functions, designs test cases, writes pytest code Boosting coverage on undertested modules
test-audit coverage-auditor, gap-analyzer, test-planner Audits test coverage, finds gaps, and prioritizes what to test next Coverage-driven test improvement
doc-gen outline-planner, content-writer, polish-reviewer Generates documentation from source code with structured outlines Creating docs for undocumented modules
doc-audit staleness-checker, accuracy-reviewer, gap-finder Checks for stale docs, broken links, and documentation drift Keeping docs accurate after refactors
dependency-check inventory-assessor, update-advisor Audits dependencies for outdated packages and security advisories Pre-release dependency review
refactor-plan debt-scanner, impact-analyzer, plan-generator Scans tech debt, analyzes refactoring impact, generates migration plans Planning large-scale refactors
simplify-code complexity-scanner, simplification-designer, safety-reviewer Finds over-engineered code and proposes simplifications with safety review Reducing complexity after feature sprints
release-prep health-checker, security-scanner, changelog-generator, release-assessor 4-agent readiness check: health, security, changelog, and go/no-go Before cutting a release
doc-orchestrator inventory-scanner, outline-planner, content-writer, polish-reviewer End-to-end documentation orchestration across an entire project Full-project doc generation or refresh
orchestrated-health-check dynamic team (2-6 based on mode) Extended health check with dynamic agent team and severity scoring Comprehensive project health assessment
secure-release security-scanner, health-checker, dep-auditor, release-gater Go/no-go release pipeline with combined risk scoring and blocker detection Pre-publish security gate
research-synthesis source-summarizer, pattern-analyst, synthesis-writer Multi-source research synthesis with pattern extraction Technical research, RFC preparation

Model Routing

Each agent is assigned a model based on task complexity:

Model Agents Rationale
Opus security, vuln, architect Deep reasoning for security and architecture
Sonnet quality, plan, research Balanced analysis for synthesis and planning
Haiku complexity, lint, coverage, dep Fast scanning for detection tasks
Inherited All others Uses the parent orchestrator's model

Override any assignment with environment variables:

export ATTUNE_AGENT_MODEL_SECURITY=sonnet  # Save cost
export ATTUNE_AGENT_MODEL_DEFAULT=opus     # Max quality

Budget Controls

Every workflow enforces a budget cap based on depth:

Depth Budget Use Case
quick $0.50 Fast checks, smoke tests
standard $2.00 Normal analysis (default)
deep $5.00 Thorough multi-pass review
export ATTUNE_MAX_BUDGET_USD=10.0  # Override
export ATTUNE_MAX_BUDGET_USD=0     # Disable caps

Quick Start

1. Install

pip install 'attune-ai[developer]'

2. Setup

# Install slash commands to ~/.claude/commands/
attune setup

# Verify environment (Python, Redis, MCP server)
attune doctor

# Check available features and dependencies
attune features

# Configure authentication (API key or subscription)
attune auth

3. Use in Claude Code

Type /attune for Socratic discovery, or use shortcuts:

/attune                # Guided — asks what you need
/attune security       # Security audit
/attune review         # Code review
/attune tests          # Generate tests
/attune perf           # Performance analysis
/attune release        # Release preparation
/attune health         # Project health check
/attune docs           # Generate documentation
/attune simplify       # Reduce code complexity

CLI Usage

Run workflows directly from terminal:

attune workflow run code-review --path ./src
attune workflow run security-audit --path ./src
attune workflow run release-prep
attune telemetry show

What Does It Look Like?

$ attune workflow run security-audit --path src/

[security-audit] vuln-scanner (opus) ........... done
[security-audit] secret-detector (opus) ........ done
[security-audit] auth-reviewer (opus) .......... done
[security-audit] remediation-planner (opus) .... done

Security Audit Results
Score: 95/100 | Cost: $0.03 | Turns: 12

| Severity | Count | Example                       |
|----------|-------|-------------------------------|
| High     | 1     | Broad except in cli.py:42     |
| Medium   | 3     | Missing type hints            |
| Low      | 2     | TODO comments                 |

Why Attune?

Attune AI Agent Frameworks Coding CLIs Review Bots
Ready-to-use workflows 18 built-in Build from scratch None PR review only
Per-agent model routing Opus/Sonnet/Haiku per role Manual None None
Budget controls Depth-based caps None None SaaS pricing
Multi-agent teams 2-6 agents per workflow Yes No No
MCP integration 30 native tools No No No
Auto-invoking skills 10 with trigger descriptions No No No
Portable security hooks PreToolUse + PostToolUse No No No
Structured output JSON schema with fallback Manual No No

Command Hubs

Hub Command Description
Developer /dev Debug, commit, PR, code review, quality
Testing /testing Run tests, smart test, coverage, test gen
Documentation /docs Generate docs, changelog, doc audit
Release /release Release prep, security scan, publishing
Workflows /workflows Automated analysis (security, bugs, perf)
Plan /plan Feature planning, brainstorm, refactoring
Agent /agent Create and manage custom agents

Cost Optimization

Skills in Claude Code

Most workflows run as skills using your Claude subscription — no additional API costs:

/dev           # Uses your Claude subscription
/testing       # Uses your Claude subscription
/release       # Uses your Claude subscription

API Mode (CI/CD, Automation)

Tier Model Use Case Cost
CHEAP Haiku Formatting, simple tasks ~$0.005
CAPABLE Sonnet Bug fixes, code review ~$0.08
PREMIUM Opus Architecture, complex design ~$0.45

Installation Options

# Recommended (agents, memory, semantic caching)
pip install 'attune-ai[developer]'

# Minimal (CLI + workflows only)
pip install attune-ai

# All features
pip install 'attune-ai[all]'

# Development (contributing)
git clone https://github.com/Smart-AI-Memory/attune-ai.git
cd attune-ai && pip install -e '.[dev]'

Environment Setup

In Claude Code: No API key needed — workflows run as skills using your Claude subscription. Just type /attune.

For CLI usage (attune workflow run ...):

export ANTHROPIC_API_KEY="sk-ant-..."     # Required
export REDIS_URL="redis://localhost:6379"  # Optional

Security

  • Path traversal protection on all file operations (CWE-22)
  • Memory ownership checks (created_by validation)
  • MCP rate limiting (60 calls/min per tool)
  • Hook import restriction (attune.* modules only)
  • PreToolUse security guard (blocks eval/exec, path traversal)
  • PII scrubbing in telemetry
  • Automated security scanning (CodeQL, bandit, detect-secrets)

See SECURITY.md for vulnerability reporting and full security details.


Documentation


Contributing

See CONTRIBUTING.md for guidelines.


License

Apache License 2.0 — Free and open source. Use it, modify it, build commercial products with it. Details


Acknowledgements

Special thanks to:

  • Anthropic — For Claude AI, MCP, and the Agent SDK patterns that shaped v5.0
  • Boris Cherny — Creator of Claude Code, whose workflow posts validated Attune's approach
  • Affaan Mustafa — For battle-tested Claude Code configurations

View Full Acknowledgements


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