chore: Run pnpm format:fix.

This commit is contained in:
cpojer
2026-01-31 21:13:13 +09:00
parent dcc2de15a6
commit 8cab78abbc
624 changed files with 10729 additions and 7514 deletions
+51 -19
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@@ -4,6 +4,7 @@ read_when:
- Adding or modifying skills
- Changing skill gating or load rules
---
# Skills (OpenClaw)
OpenClaw uses **[AgentSkills](https://agentskills.io)-compatible** skill folders to teach the agent how to use tools. Each skill is a directory containing a `SKILL.md` with YAML frontmatter and instructions. OpenClaw loads **bundled skills** plus optional local overrides, and filters them at load time based on environment, config, and binary presence.
@@ -12,9 +13,9 @@ OpenClaw uses **[AgentSkills](https://agentskills.io)-compatible** skill folders
Skills are loaded from **three** places:
1) **Bundled skills**: shipped with the install (npm package or OpenClaw.app)
2) **Managed/local skills**: `~/.openclaw/skills`
3) **Workspace skills**: `<workspace>/skills`
1. **Bundled skills**: shipped with the install (npm package or OpenClaw.app)
2. **Managed/local skills**: `~/.openclaw/skills`
3. **Workspace skills**: `<workspace>/skills`
If a skill name conflicts, precedence is:
@@ -84,6 +85,7 @@ description: Generate or edit images via Gemini 3 Pro Image
```
Notes:
- We follow the AgentSkills spec for layout/intent.
- The parser used by the embedded agent supports **single-line** frontmatter keys only.
- `metadata` should be a **single-line JSON object**.
@@ -107,11 +109,19 @@ OpenClaw **filters skills at load time** using `metadata` (single-line JSON):
---
name: nano-banana-pro
description: Generate or edit images via Gemini 3 Pro Image
metadata: {"openclaw":{"requires":{"bins":["uv"],"env":["GEMINI_API_KEY"],"config":["browser.enabled"]},"primaryEnv":"GEMINI_API_KEY"}}
metadata:
{
"openclaw":
{
"requires": { "bins": ["uv"], "env": ["GEMINI_API_KEY"], "config": ["browser.enabled"] },
"primaryEnv": "GEMINI_API_KEY",
},
}
---
```
Fields under `metadata.openclaw`:
- `always: true` — always include the skill (skip other gates).
- `emoji` — optional emoji used by the macOS Skills UI.
- `homepage` — optional URL shown as “Website” in the macOS Skills UI.
@@ -124,6 +134,7 @@ Fields under `metadata.openclaw`:
- `install` — optional array of installer specs used by the macOS Skills UI (brew/node/go/uv/download).
Note on sandboxing:
- `requires.bins` is checked on the **host** at skill load time.
- If an agent is sandboxed, the binary must also exist **inside the container**.
Install it via `agents.defaults.sandbox.docker.setupCommand` (or a custom image).
@@ -138,11 +149,29 @@ Installer example:
---
name: gemini
description: Use Gemini CLI for coding assistance and Google search lookups.
metadata: {"openclaw":{"emoji":"♊️","requires":{"bins":["gemini"]},"install":[{"id":"brew","kind":"brew","formula":"gemini-cli","bins":["gemini"],"label":"Install Gemini CLI (brew)"}]}}
metadata:
{
"openclaw":
{
"emoji": "♊️",
"requires": { "bins": ["gemini"] },
"install":
[
{
"id": "brew",
"kind": "brew",
"formula": "gemini-cli",
"bins": ["gemini"],
"label": "Install Gemini CLI (brew)",
},
],
},
}
---
```
Notes:
- If multiple installers are listed, the gateway picks a **single** preferred option (brew when available, otherwise node).
- If all installers are `download`, OpenClaw lists each entry so you can see the available artifacts.
- Installer specs can include `os: ["darwin"|"linux"|"win32"]` to filter options by platform.
@@ -150,7 +179,7 @@ Notes:
This only affects **skill installs**; the Gateway runtime should still be Node
(Bun is not recommended for WhatsApp/Telegram).
- Go installs: if `go` is missing and `brew` is available, the gateway installs Go via Homebrew first and sets `GOBIN` to Homebrews `bin` when possible.
- Download installs: `url` (required), `archive` (`tar.gz` | `tar.bz2` | `zip`), `extract` (default: auto when archive detected), `stripComponents`, `targetDir` (default: `~/.openclaw/tools/<skillKey>`).
- Download installs: `url` (required), `archive` (`tar.gz` | `tar.bz2` | `zip`), `extract` (default: auto when archive detected), `stripComponents`, `targetDir` (default: `~/.openclaw/tools/<skillKey>`).
If no `metadata.openclaw` is present, the skill is always eligible (unless
disabled in config or blocked by `skills.allowBundled` for bundled skills).
@@ -167,17 +196,17 @@ Bundled/managed skills can be toggled and supplied with env values:
enabled: true,
apiKey: "GEMINI_KEY_HERE",
env: {
GEMINI_API_KEY: "GEMINI_KEY_HERE"
GEMINI_API_KEY: "GEMINI_KEY_HERE",
},
config: {
endpoint: "https://example.invalid",
model: "nano-pro"
}
model: "nano-pro",
},
},
peekaboo: { enabled: true },
sag: { enabled: false }
}
}
sag: { enabled: false },
},
},
}
```
@@ -187,6 +216,7 @@ Config keys match the **skill name** by default. If a skill defines
`metadata.openclaw.skillKey`, use that key under `skills.entries`.
Rules:
- `enabled: false` disables the skill even if its bundled/installed.
- `env`: injected **only if** the variable isnt already set in the process.
- `apiKey`: convenience for skills that declare `metadata.openclaw.primaryEnv`.
@@ -197,11 +227,12 @@ Rules:
## Environment injection (per agent run)
When an agent run starts, OpenClaw:
1) Reads skill metadata.
2) Applies any `skills.entries.<key>.env` or `skills.entries.<key>.apiKey` to
1. Reads skill metadata.
2. Applies any `skills.entries.<key>.env` or `skills.entries.<key>.apiKey` to
`process.env`.
3) Builds the system prompt with **eligible** skills.
4) Restores the original environment after the run ends.
3. Builds the system prompt with **eligible** skills.
4. Restores the original environment after the run ends.
This is **scoped to the agent run**, not a global shell environment.
@@ -226,9 +257,9 @@ By default, OpenClaw watches skill folders and bumps the skills snapshot when `S
skills: {
load: {
watch: true,
watchDebounceMs: 250
}
}
watchDebounceMs: 250,
},
},
}
```
@@ -246,6 +277,7 @@ total = 195 + Σ (97 + len(name_escaped) + len(description_escaped) + len(locati
```
Notes:
- XML escaping expands `& < > " '` into entities (`&amp;`, `&lt;`, etc.), increasing length.
- Token counts vary by model tokenizer. A rough OpenAI-style estimate is ~4 chars/token, so **97 chars ≈ 24 tokens** per skill plus your actual field lengths.