Task automation from markdown specs via Claude CLI
Project description
spec-runner
Task automation from markdown specs via Claude CLI. Execute tasks from a structured tasks.md file with automatic retries, 5-role code review, Git integration, compliance verification, traceability reporting, and live TUI dashboard.
Installation
uv add spec-runner
Or for development:
uv sync
Requirements:
- Python 3.10+
- Claude CLI (
claudecommand available) - Git (for branch management)
ghCLI (optional, for GitHub Issues sync)
Quick Start
# Install Claude Code skills (creates .claude/skills in current project)
spec-runner-init
# Execute next ready task
spec-runner run
# Execute specific task
spec-runner run --task=TASK-001
# Execute all ready tasks
spec-runner run --all
# Execute with live TUI dashboard
spec-runner run --all --tui
# Create tasks interactively
spec-runner plan "add user authentication"
# Watch mode — continuously execute ready tasks
spec-runner watch
Features
- Task-based execution — reads tasks from
spec/tasks.mdwith priorities, checklists, and dependencies - Specification traceability — links tasks to requirements (REQ-XXX) and design (DESIGN-XXX)
- Automatic retries — configurable retry policy with exponential backoff and error context forwarding
- Code review — multi-agent review after task completion with enriched diff context
- Git integration — automatic branch creation, commits, and merges
- TUI dashboard — live Textual-based terminal UI with progress bars and log panel
- Cost tracking — per-task token usage and cost breakdown
- Watch mode — continuously poll and execute ready tasks
- Plugin system — extend with custom hooks via
spec/plugins/*/plugin.yaml - MCP server — Model Context Protocol server for Claude Code integration (read + write operations)
- GitHub Issues sync — bidirectional sync between tasks.md and GitHub Issues
- Interactive planning — generate specs (requirements + design + tasks) through dialogue with Claude
- Structured logging — JSON/console output via structlog
- SQLite state — persistent execution state with WAL mode, auto-migration from legacy JSON
- HITL review — optional human-in-the-loop approval gate after code review
- Parallel review — 5 specialized review agents (quality, implementation, testing, simplification, docs) running concurrently
- Agent personas — role-specific prompt templates and model selection (architect, implementer, reviewer)
- Constitution guardrails — inviolable project rules from
spec/constitution.mdinjected into every prompt - Telegram / webhook notifications — alerts on task failure, run completion, and degraded-mode persistence failures (Telegram Bot API + generic webhook)
- Degraded-mode resilience — SQLite write failures (disk-full, DB corruption) are caught, the run continues in memory, and operators are notified once
- Compliance audit trail — opt-in JSON-Lines log of every task lifecycle event (started, attempt, completed/failed, state_degraded, run start/end) with operator + run-id attribution
- Pause/resume — pause mid-run with Ctrl+, edit tasks, resume; TUI keybinding
p - Streaming events — live stdout streaming from Claude CLI to TUI via EventBus
- Session/idle timeouts — automatic stop after configurable session or idle duration
Task File Format
Tasks are defined in spec/tasks.md:
## Milestone 1: MVP
### TASK-001: Implement user login
🔴 P0 | ⬜ TODO | Est: 2d
**Checklist:**
- [ ] Create login endpoint
- [ ] Add JWT token generation
- [ ] Write unit tests
**Traces to:** [REQ-001], [DESIGN-001]
**Depends on:** —
**Blocks:** [TASK-002], [TASK-003]
CLI Commands
spec-runner
# Execution
spec-runner run # Execute next ready task
spec-runner run --task=TASK-001 # Execute specific task
spec-runner run --all # Execute all ready tasks (resets failed→pending by default)
spec-runner run --all --no-reset-failed # Keep failed tasks sticky (skip the default reset)
spec-runner run --all --hitl-review # Interactive HITL approval gate
spec-runner run --force # Skip lock check (stale lock)
spec-runner run --tui # Execute with live TUI dashboard
spec-runner run --dry-run # Show what would execute (JSON)
spec-runner run --json-result # Structured JSON output (Maestro interop)
spec-runner run --budget=10.0 # Set global budget in USD
spec-runner run --log-level=DEBUG # Set log verbosity
spec-runner run --log-json # Output logs as JSON
# Monitoring
spec-runner status # Show execution status
spec-runner status --json # JSON status output
spec-runner costs # Cost breakdown per task
spec-runner costs --json # JSON output for automation
spec-runner costs --sort=cost # Sort by cost descending
spec-runner logs TASK-001 # View task logs
# Operations
spec-runner retry TASK-001 # Retry failed task
spec-runner reset # Reset state
spec-runner watch # Continuously execute ready tasks
spec-runner watch --tui # Watch with live TUI dashboard
spec-runner tui # Launch TUI status dashboard
spec-runner validate # Validate config and tasks
# Verification & Reporting (v2.0)
spec-runner audit # Static pre-execution spec check
spec-runner audit --strict # Fail on warnings (orphans, uncovered)
spec-runner audit --json # JSON findings output (for CI)
spec-runner audit --csv # CSV for spreadsheet review
spec-runner verify # Verify post-execution compliance
spec-runner verify --task=TASK-001 # Verify specific task
spec-runner verify --json # JSON compliance output
spec-runner verify --strict # Fail on warnings too
spec-runner report # Generate traceability matrix
spec-runner report --milestone=mvp # Filter by milestone
spec-runner report --uncovered-only # Show only uncovered requirements
spec-runner report --json # JSON matrix output
# Planning
spec-runner plan "description" # Interactive task planning
spec-runner plan --full "description" # Generate full spec (requirements + design + tasks)
# Integration
spec-runner mcp # Launch MCP server (stdio)
Task Management (unified in v2.0)
# Task commands (use `spec-runner task` instead of deprecated `spec-task`)
spec-runner task list # List all tasks
spec-runner task list --status=todo # Filter by status
spec-runner task list --priority=p0 # Filter by priority
spec-runner task list --milestone=mvp # Filter by milestone
spec-runner task show TASK-001 # Task details
spec-runner task start TASK-001 # Mark as in_progress
spec-runner task done TASK-001 # Mark as done
spec-runner task block TASK-001 # Mark as blocked
spec-runner task check TASK-001 2 # Mark checklist item
spec-runner task stats # Statistics
spec-runner task next # Show next ready tasks
spec-runner task graph # ASCII dependency graph
# GitHub Issues
spec-runner task export-gh # Export to GitHub Issues format
spec-runner task sync-to-gh # Sync tasks -> GitHub Issues
spec-runner task sync-to-gh --dry-run # Preview without making changes
spec-runner task sync-from-gh # Sync GitHub Issues -> tasks.md
spec-runner-init
spec-runner-init # Install skills to ./.claude/skills
spec-runner-init --force # Overwrite existing skills
spec-runner-init /path/to/project # Install to specific project
Multi-phase Options
--spec-prefix namespaces tasks, state, logs, and history for phase-based workflows:
spec-runner run --spec-prefix=phase5- # Uses spec/phase5-tasks.md
spec-runner task list --spec-prefix=phase5- # List phase 5 tasks
Phase-scoped paths: spec/phase5-{tasks,requirements,design}.md, spec/.executor-phase5-state.db, spec/.executor-phase5-logs/, spec/.phase5-task-history.log. Multiple phases coexist without state bleed.
Usage as Library
from spec_runner import Task, ExecutorConfig, parse_tasks, get_next_tasks
from pathlib import Path
tasks = parse_tasks(Path("spec/tasks.md"))
ready = get_next_tasks(tasks)
for task in ready:
print(f"{task.id}: {task.name} ({task.priority})")
MCP Server (Claude Code Integration)
spec-runner includes an MCP server for querying status and executing tasks from Claude Code.
Add to .mcp.json:
{
"mcpServers": {
"spec-runner": {
"command": "spec-runner",
"args": ["mcp"]
}
}
}
Available tools:
| Tool | Kind | Effect |
|---|---|---|
spec_runner_status |
read | Returns aggregate status (completed/failed/running, cost, tokens) |
spec_runner_tasks |
read | Lists tasks with id/name/priority/status/deps |
spec_runner_next_tasks |
read | Lists ready-to-run tasks |
spec_runner_task_detail |
read | Returns per-task checklist, attempts, last review, cost |
spec_runner_costs |
read | Per-task cost/token breakdown |
spec_runner_logs |
read | Tail of a task's execution log |
spec_runner_run_task |
write | Spawns a subprocess that runs Claude CLI against the workspace. Can modify files, create git branches, run hooks (tests/lint/commit) |
spec_runner_stop |
write | Writes a stop-file that asks a running executor to shut down gracefully |
Security model
Authentication. The MCP server has no built-in authentication. It uses stdio transport and inherits the trust boundary of whatever started it (typically your terminal or Claude Code). Whoever can run the server can call any of its tools.
Safe deployment patterns:
- ✅ Local stdio only (default). Run via
spec-runner mcpfrom.mcp.jsonon a single developer machine. Same trust boundary as your shell. - ✅ Claude Code inside your own workspace. The MCP server operates on the workspace it's invoked in; tools like
spec_runner_run_taskwill modify files in that workspace. - ❌ Do NOT expose over TCP, HTTP, or a shared socket without adding authentication and audit logging — the write tools execute subprocesses that run Claude CLI with full filesystem access.
- ❌ Do NOT run under a shared service account that multiple users or agents share. There is no per-caller identity, so audit logs cannot attribute actions.
Write-tool blast radius. spec_runner_run_task does not sandbox execution: the spawned spec-runner run --task TASK-XXX can:
- edit any file in the project root
- create git branches and auto-commit (if
hooks.post_done.auto_commit: true) - run tests, linters, and any configured hook command
- spend budget (Claude API cost) up to
budget_usd/task_budget_usd
Treat the MCP server as equivalent to giving the caller shell access to the workspace.
Hardening options (if you need tighter limits):
- Run in a disposable container or Maestro worktree so writes are isolated
- Set
budget_usdlow to cap accidental cost spend - Disable
hooks.post_done.auto_commitif you want manual review before commits - Restrict
commands.test/commands.lintto safe allow-listed shell commands — they run verbatim
See also: docs/state-schema.md for the read contract, and src/spec_runner/mcp_server.py for tool implementations.
Configuration
Configuration file: spec-runner.config.yaml (project root, v2.0)
Legacy location spec/executor.config.yaml is still supported with a deprecation warning.
v2.0 flat format (no executor: wrapper):
max_retries: 3
task_timeout_minutes: 30
claude_command: "claude"
claude_model: "sonnet"
spec_prefix: "" # e.g. "phase5-" for phase5-tasks.md
budget_usd: 50.0 # Total budget cap (whole run)
task_budget_usd: 10.0 # Per-task cap incl. first attempt
max_retry_cost_usd: 2.0 # Cap on retry cost only (attempts 2+)
# Telegram notifications (optional)
telegram_bot_token: "" # Bot token from @BotFather
telegram_chat_id: "" # Chat ID to send notifications to
notify_on: [run_complete, task_failed, state_degraded]
# Generic webhook (optional — works with Slack, Discord, ntfy.sh, etc.)
webhook_url: "" # Webhook URL (empty = disabled)
webhook_template: '{"text": "{{event}}: {{message}}"}'
# Compliance audit trail (optional — JSON Lines, opt-in)
audit_log_path: "" # e.g. "spec/.executor-audit.jsonl"; empty = disabled
audit_log_operator: "" # Override the auto-detected "user@host" tag
# Agent personas (optional)
personas:
implementer:
system_prompt: "You are a focused Python developer"
model: "sonnet"
reviewer:
system_prompt: "You are a senior code reviewer"
model: "haiku"
hooks:
pre_start:
create_git_branch: true
post_done:
run_tests: true
run_lint: true
auto_commit: true
run_review: true
review_parallel: false # Run 5 review agents in parallel
review_roles: [quality, implementation, testing]
commands:
test: "uv run pytest tests/ -v"
lint: "uv run ruff check ."
paths:
root: "."
logs: "spec/.executor-logs"
Git Branch Workflow
- Branch detection: Auto-detects
mainormaster, or usemain_branchconfig - Task branches: Creates
task/TASK-001-short-namebranches for each task - Auto-merge: Merges task branch to main after completion
Supported CLIs
| CLI | Auto-detected | Example template |
|---|---|---|
| Claude | Yes | {cmd} -p {prompt} --model {model} |
| Codex | Yes | {cmd} -p {prompt} --model {model} |
| OpenCode (sst/opencode) | Yes | {cmd} run --model {model} {prompt} |
| Pi Agent (pi.dev) | Yes (basename match) | {cmd} -p --model {model} {prompt} |
| Ollama | Yes | {cmd} run {model} {prompt} |
| llama-cli | Yes | {cmd} -m {model} -p {prompt} --no-display-prompt |
| Custom | Use template | {cmd} --prompt {prompt} |
Full pi-driven loop:
pican run the entire dev → review → test cycle (with native skills, per-stage tool control and a read-only review gate) using only config and a small script — no core code. See docs/pi-workflow.md and the runnable examples/pi-loop/.
Project Structure
project/
├── pyproject.toml
├── spec-runner.config.yaml # v2.0 config location
├── Makefile
├── .pre-commit-config.yaml
├── src/
│ └── spec_runner/
│ ├── __init__.py
│ ├── executor.py # Re-exports (backward compat)
│ ├── cli.py # Main CLI dispatcher, cmd_run, cmd_watch
│ ├── cli_info.py # Status, costs, logs, validate, verify, report, TUI, MCP
│ ├── cli_plan.py # Interactive planning command
│ ├── execution.py # Task execution + retry logic
│ ├── config.py # ExecutorConfig + YAML loading
│ ├── state.py # SQLite state persistence + degraded-mode fallback
│ ├── prompt.py # Prompt building + templates
│ ├── hooks.py # Pre/post hook orchestration
│ ├── git_ops.py # Git branch/commit/merge operations
│ ├── review.py # 5-role code review + HITL gate
│ ├── runner.py # Subprocess execution + event streaming
│ ├── task.py # Task parsing + dependency resolution
│ ├── task_commands.py # Task CLI commands (list, show, start, etc.)
│ ├── github_sync.py # GitHub Issues sync (to/from)
│ ├── audit.py # Pre-execution static audit (LABS-37)
│ ├── audit_log.py # JSON Lines compliance audit trail (LABS-40)
│ ├── verify.py # Post-execution compliance verification
│ ├── report.py # Traceability matrix generation
│ ├── validate.py # Config + task validation
│ ├── plugins.py # Plugin discovery + hooks
│ ├── logging.py # Structured logging (structlog)
│ ├── events.py # EventBus for streaming to TUI
│ ├── notifications.py # Telegram + webhook notifications
│ ├── tui.py # Textual TUI dashboard
│ ├── mcp_server.py # MCP server (FastMCP, stdio)
│ ├── init_cmd.py # Skill installer
│ └── skills/
│ └── spec-generator-skill/
├── docs/
│ └── state-schema.md # Maestro interop contract (SQLite + --json-result)
├── schemas/
│ ├── executor-state.schema.json # JSON Schema for .executor-state.db contents
│ └── json-result.schema.json # JSON Schema for `run --json-result` stdout
├── tests/
│ └── fixtures/maestro-interop/ # Golden fixtures copied by Maestro contract tests
└── spec/
├── tasks.md
├── requirements.md
├── design.md
├── FORMAT.md # Task format specification
└── plugins/ # Optional: per-plugin subdirectories with plugin.yaml
License
MIT
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