- Add get_default_tools/get_tools/get_system_prompt_parts to ComputerBooter base
- Each booter subclass (ShipyardNeo, Shipyard, Boxlite) declares its own tools
- ComputerToolProvider now delegates to booter API via computer_client helpers
- Add unified query API: get_sandbox_tools, get_default_sandbox_tools, etc.
- Extract Neo prompts to dedicated computer/prompts.py module
- Add booter type constants (booters/constants.py)
- Fix subagent tool path to pass sandbox_cfg and session_id
- Fix Sourcery issues: shell injection in send_message, typo in prompts,
internal tools bypass inactivated_llm_tools check
- Resolve skills root via Path.resolve() so LLM prompts always
reference absolute paths regardless of sandbox cwd
- Use resolved path in skill metadata for reliable cat/head commands
- Add DRY cross-reference comment for frontmatter parser
- Remove dead skills_root_abs field from JSON output (no consumer)
- Remove unnecessary os import and fake resolve/abspath branch
separate sandbox skill syncing into distinct apply and scan steps
while keeping the legacy combined command for compatibility
improve observability by adding phase-based logs and richer shell
error details that include exit code, stderr, and stdout tail
reuse a shared python-exec command builder to reduce duplication
and keep command generation consistent
When shipyard_neo_access_token is not configured, _discover_bay_credentials()
searches for Bay's credentials.json in:
1. BAY_DATA_DIR env var
2. Mono-repo relative path ../pkgs/bay/
3. Current working directory
Enables zero-config dev mode when Bay runs locally alongside AstrBot.
* feat: support anthropic skills
closes: #4687
* chore: ruff
* feat: implement skills management and selection in persona configuration
* feat: enhance skills management with local environment tools and permissions
zenfun
Soulter
RC-CHN
Soulter