attune-ai 5.1.1

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

Attune AI

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

15 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. 30 MCP tools. 10 auto-invoking skills. Just type /attune and go.

1. Install:

pip install 'attune-ai[developer]'

2. Complete Quick Start →

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Key Features

15 Multi-Agent Workflows	Code review, security audit, test gen, release prep — each runs a specialist team of 2-6 Claude subagents
30 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

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What's New in v5.1.1

v5.1.1 completes the Anthropic SDK alignment that began in v5.0.0 — full plugin SDK compliance, all 30 MCP tools wired through 10 skills, portable security hooks, rewritten documentation, and security hardening across the stack.

Feature	What It Does
Plugin SDK compliance	Skills use SDK-standard frontmatter (argument-hint, disable-model-invocation), auto-invocation triggers
30 MCP tools wired	Every tool reachable from plugin skills and commands (was 17)
Portable hooks	PreToolUse security guard + PostToolUse formatter distributed with plugin via ${CLAUDE_PLUGIN_ROOT}
10 auto-invoking skills	Claude triggers the right skill based on what you describe
Side-effect protection	release-prep and memory-and-context require explicit invocation

Previous releases

v5.0.2 — SDK Workflow Fix

Fixed all 15 Agent SDK workflows. Added collect_agent_output() to centralize message collection from AssistantMessage content blocks.

v5.0.1 — Security Hardening

Feature	What It Does
Memory ownership	Retrieve/delete checks created_by before access
Workspace isolation	INTERNAL classification enforces project boundaries
MCP rate limiter	60 calls/min per tool prevents abuse
Hook import guard	Only attune.* modules loadable via hooks
Path validation	State manager and morning workflow validate all paths

v5.0.0 — Anthropic Best Practices

All 15 workflows aligned with Anthropic's recommended Agent SDK patterns: system prompt separation, per-agent model routing, budget safety nets, cost/usage tracking, and structured JSON output.

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Plugin & Skills

The attune-ai plugin integrates with Claude Code via the /attune command and 7 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:

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

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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.

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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
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

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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                 |

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Why Attune?

	Attune AI	Agent Frameworks	Coding CLIs	Review Bots
Ready-to-use workflows	15 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

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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

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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

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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

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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.

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Documentation

• Architecture Overview
• Project Overview
• Coding Standards
• Plugin README
• Full Documentation

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Contributing

See CONTRIBUTING.md for guidelines.

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License

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

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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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