Replace absolute home directory prefix with ~ in skill <location> tags
injected into the system prompt. Models understand ~ expansion and the
read tool resolves it, so this is a safe, backward-compatible change.
Saves ~5-6 tokens per skill path. For a workspace with 90+ skills,
this reduces system prompt size by ~400-600 tokens.
Changes:
- Add compactSkillPaths() helper in workspace.ts
- Apply in buildWorkspaceSkillSnapshot and buildWorkspaceSkillsPrompt
- Add test for path compaction behavior
Before: /Users/alice/.bun/install/global/node_modules/openclaw/skills/github/SKILL.md
After: ~/.bun/install/global/node_modules/openclaw/skills/github/SKILL.md
Watch SKILL.md only (and one-level SKILL.md in skill roots) to prevent chokidar from tracking huge unrelated trees.
Co-authored-by: household-bard <shakespeare@hessianinformatics.com>
* fix(skills): ignore Python venvs and caches in skills watcher
Add .venv, venv, __pycache__, .mypy_cache, .pytest_cache, build, and
.cache to the default ignored patterns for the skills watcher.
This prevents file descriptor exhaustion when a skill contains a Python
virtual environment with tens of thousands of files, which was causing
EBADF spawn errors on macOS.
Fixes#1056
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* docs: add changelog entry for skills watcher ignores
* docs: fill changelog PR number
---------
Co-authored-by: Kyle Howells <freerunnering@gmail.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: CLAWDINATOR Bot <clawdinator[bot]@users.noreply.github.com>
Add shared parseBooleanValue()/isTruthyEnvValue() and apply across CLI, gateway, memory, and live-test flags for consistent env handling.
Introduce route-first fast paths, lazy subcommand registration, and deferred plugin loading to reduce CLI startup overhead.
Centralize config validation via ensureConfigReady() and add config caching/deferred shell env fallback for fewer IO passes.
Harden logger initialization/imports and add focused tests for argv, boolean parsing, frontmatter, and CLI subcommands.
On macOS, watching deep dependency trees can exhaust file descriptors and lead to spawn EBADF failures. The skills watcher only needs to observe skill changes, so ignore dotfiles, node_modules, and dist by default. Adds regression coverage.
