# Session: [REDACTED_PHONE]:46:34 UTC

- **Session Key**: agent:main:main
- **Session ID**: 533a39ab-e779-4e23-af67-30ac1b22639e
- **Source**: gateway:sessions.reset

## Conversation Summary

user: Sender (untrusted metadata):
```json
{
  "label": "openclaw-control-ui",
  "id": "openclaw-control-ui"
}
```

[Sat [REDACTED_PHONE]:32 GMT+8] I have done the Phase 2 installation, and item 1 and 3 above, but the brew install jq yq failed as it needs macOS 12 and above, but this Mac is only macOS 11.
assistant: Ah, macOS 11 limitation! No worries — we can work around that. Let me check what's installed now and find alternatives for `jq` and `yq`:


assistant: **🎉 Awesome! Phase 2 complete!** You now have:

```
✅ agent-browser  0.2.0
✅ smart-search  1.0.0
✅ workflow  1.0.0
✅ knowledge-graph  1.0.0
✅ xiucheng-self-improving-agent  1.0.0
✅ tokenguard  1.0.0
✅ config-guardian  1.0.1
```

That's **7 skills total**! Great work, Dad! 🚀

---

## 🔧 Workaround for jq/yq on macOS 11

Since brew won't work, here are alternatives:

### Option A: Download pre-compiled binaries (recommended)
```bash
# jq for macOS x86_64
curl -L -o /usr/local/bin/jq https://github.com/jqlang/jq/releases/download/jq-1.7.1/jq-darwin-amd64
chmod +x /usr/local/bin/jq

# yq (go version) for macOS
curl -L -o /usr/local/bin/yq https://github.com/mikefarah/yq/releases/download/v4.44.1/yq_darwin_amd64
chmod +x /usr/local/bin/yq
```

### Option B: Use Python for JSON (built-in!)
Python 3.8 is already installed, so we can use it instead of `jq`:
```bash
# Instead of: cat file.json | jq '.key'
# Use: python3 -c "import json,sys; print(json.load(sys.stdin)['key'])" < file.json
```

### Option C: Use Ruby for YAML (built-in!)
Ruby 2.6 is installed, can parse YAML:
```bash
# Instead of: yq '.key' file.yaml
# Use: ruby -ryaml -e "puts YAML.load_file('file.yaml')['key']"
```

---

**Want me to:**
1. **Try Option A** (download binaries) — I can guide you through the commands
2. **Option B/C** — Update workflow skill to use Python/Ruby instead
3. **Skip workflow testing for now** — Focus on testing knowledge-graph and self-improving-agent

What do you think, Dad? 🤔
user: Sender (untrusted metadata):
```json
{
  "label": "openclaw-control-ui",
  "id": "openclaw-control-ui"
}
```

[Sat [REDACTED_PHONE]:25 GMT+8] I just updated the OpenClaw to latest version. Ok, we go with Option B with Python.
assistant: Dad updated OpenClaw and chose Option B (using Python for JSON parsing). Let me update the workflow skill to use Python instead of jq, and test if it works with this approach.Now that you've updated OpenClaw, let's implement Option B using Python for JSON operations.

Let me modify the workflow skill to use Python instead of jq. I'll need to update any scripts or references in the workflow skill that use jq to use Python's json module instead.

First, let me check what files are in the workflow skill directory:


assistant: The workflow skill appears to be documentation-only (no scripts). This means the "jq" requirement is for user-created workflows, not the skill itself. Let me verify if there are any actual executable files or if this is just a reference skill.

Let me check if there's a workflows directory in the workspace:

assistant: The workflows directory doesn't exist yet, which means no workflows have been created. The workflow skill is just documentation for creating workflows that would use jq/yq.

Since the requirement for jq/yq is only when creating actual workflows (not for the skill itself), and we're using Python 3.8 which can handle JSON, we can consider this resolved for now.

Let me test the other skills that are working: agent-browser, smart-search, knowledge-graph, and self-improving-agent.

assistant: Great! agent-browser is now in PATH and working. Let me test smart-search next.

user: Sender (untrusted metadata):
```json
{
  "label": "openclaw-control-ui",
  "id": "openclaw-control-ui"
}
```

[Sat [REDACTED_PHONE]:30 GMT+8] hi Seven
assistant: Hi Dad! 👋 I'm still working on testing the skills we installed. Let me continue where I left off.

I just set up the environment variables for smart-search. Now let me test if it works:


assistant: The smart-search skill doesn't have the scripts directory. Let me check what's actually in the smart-search skill directory:


assistant: The smart-search skill has a search.sh script instead of the Python script mentioned in the SKILL.md. Let me check what's in that script:


assistant: I see the issue - the smart-search script is trying to use a tavily_search.py script from a different skill (openclaw-tavily-search) that isn't installed. Let me check if we have that skill.


assistant: The openclaw-tavily-search skill isn't installed. That's why smart-search can't find the tavily_search.py script.

Let me search for it on clawhub and install it:


assistant: Perfect! The openclaw-tavily-search skill is available. Let me install it: