## QA PASSED See QA report document: e9a5ed12-622d-4538-8a5c-0c324dd238a0 All hypotheses tested: 1. Module imports successfully 2. get_agent_info() returns complete, correctly-typed data 3. derive_agent_id() produces stable, correctly-formatted hashes 4. parse_issue_ids_from_branch() handles all edge cases 5. detect_cli_tool() correctly identifies Claude Code, Cursor, Aider 6. get_machine_address() falls back to local IP when Tailscale unavailable 29/29 unit tests pass. 90/90 issue regression tests pass. No issues found. Fix verified working.

Implemented complete agent auto-detection module as specified. ## Created Files ### trckr_agent.py (365 lines) New module providing all required auto-detection functions: **Main Functions:** - `get_agent_info()` - Main entry point that gathers all auto-detectable fields - `derive_agent_id(hostname, cli_tool, repo_path)` - Creates stable agent ID via SHA256 hash, truncated to 12 chars with 'agt_' prefix - `get_machine_address()` - Network address detection with fallback chain: Tailscale FQDN → Tailscale IP → local IP - `parse_issue_ids_from_branch(branch)` - Regex-based extraction of TRCKR-* patterns (case-insensitive, normalized to uppercase) - `detect_cli_tool()` - Detects Claude Code (CLAUDECODE, CLAUDE_CODE_ENTRYPOINT), Cursor (CURSOR_USER), Aider (AIDER_MODEL) - `detect_agent_model(model_override, transcript_path)` - Priority-based detection: CLI flag → TRCKR_AGENT_MODEL env → transcript → settings **Auto-Detected Fields:** - hostname: socket.gethostname() - machine_address: Tailscale/local IP via get_machine_address() - os_platform: sys.platform - os_version: platform.release() - repo_path: git rev-parse --show-toplevel - git_remote: git remote get-url origin - current_branch: git branch --show-current - issue_ids: parse_issue_ids_from_branch() - agent_model: detect_agent_model() - agent_cli_tool: detect_cli_tool() - agent_id: derive_agent_id() **Helper Functions:** - `_get_git_repo_path()`, `_get_git_remote()`, `_get_current_branch()` - Git operations - `_get_tailscale_fqdn()`, `_get_tailscale_ip()`, `_get_local_ip()` - Network detection - `_parse_model_from_transcript()`, `_parse_model_from_settings()` - Model detection ### tests/test_agent_detection.py (312 lines) Comprehensive test suite with 29 tests across 6 test classes: **Test Classes:** - TestDeriveAgentId (5 tests): Hash stability, different inputs, None handling - TestParseIssueIdsFromBranch (8 tests): Single/multiple issues, case normalization, edge cases - TestDetectCliTool (5 tests): Claude Code, Cursor, Aider detection, no tool scenario - TestDetectAgentModel (6 tests): Override priority, env vars, transcript parsing - TestGetMachineAddress (3 tests): Tailscale FQDN, IP fallback, local IP fallback - TestGetAgentInfo (2 tests): Complete info gathering, partial/None value handling ## Verification Tested manually: ```bash python3 -c "from trckr_agent import get_agent_info; info = get_agent_info(); print(f'Agent ID: {info[\"agent_id\"]}'); print(f'Hostname: {info[\"hostname\"]}')" # Output: # Agent ID: agt_6fc977e88224 # Hostname: Mac.localdomain ``` All 29 unit tests pass with full coverage of the new module. ## Implementation Notes - All timeout values set to 5 seconds for subprocess calls - Tailscale detection uses `tailscale status --json` to get FQDN and IPs - Agent ID uses SHA256 for stability (same inputs always produce same ID) - Issue ID parsing is case-insensitive but normalizes to uppercase - Graceful degradation: functions return None when detection fails - No external dependencies beyond stdlib (json, hashlib, socket, subprocess, re, platform, sys)