Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aliyun/alibabacloud-adb-mysql-mcp-server --skill alibabacloud-adb-openclaw-insightgit clone --depth 1 https://github.com/aliyun/alibabacloud-adb-mysql-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aliyun/alibabacloud-adb-mysql-mcp-server/alibabacloud-adb-openclaw-insight)<a href="https://agentmods.dev/skills/aliyun/alibabacloud-adb-mysql-mcp-server/alibabacloud-adb-openclaw-insight"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-adb-mysql-mcp-server/alibabacloud-adb-openclaw-insight/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aliyun/alibabacloud-adb-mysql-mcp-server/alibabacloud-adb-openclaw-insight"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-adb-mysql-mcp-server/alibabacloud-adb-openclaw-insight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00180 | $0.01050 |
| Opus 5 | $0.00090 | $0.00525 |
| Sonnet 5 | $0.00036 | $0.00210 |
| Haiku 4.5 | $0.00018 | $0.00105 |
Grade C, and why
alibabacloud-adb-openclaw-insight scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -LsSf https://astral.sh/uv/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -LsSf https://astral.sh/uv/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Logger Insight ADB Skill
Collect OpenClaw session logs in real time and push them to AnalyticDB MySQL. Analyze usage patterns with a three-layer insight architecture powered by SQL + Python + LLM.
Prerequisites
- Python >= 3.10 (use
pythonorpython3depending on your system) - An accessible Alibaba Cloud AnalyticDB MySQL instance
- OpenClaw deployed and generating session files (
~/.openclaw/agents/*/sessions/*.jsonl) and logs (/tmp/openclaw/openclaw-YYYY-MM-DD.log) - (Optional) An OpenAI-compatible or Anthropic LLM API endpoint for L2/L3 analysis
Quick Start
# 1. Install uv package manager
curl -LsSf https://astral.sh/uv/install.sh | sh
# 2. Install dependencies
uv pip install -r requirements.txt
# 3. Copy the configuration template
cp config.example.json config.json
# Edit config.json: fill in ADB connection details and (optionally) LLM API config
# 4. Initialize the database tables
uv run python -m scripts.init_db
# 5. (Optional) Start the all-in-one service (collection + scheduled analysis)
uv run python -m scripts.main
CLI Commands
Collect — One-shot data collection
Scans new session JSONL files and daily log files, inserts records into ADB, saves the file-offset checkpoint, then exits. Safe to call repeatedly.
uv run python -m scripts.main collect
Analyze — Run full insight analysis
Runs the full three-layer analysis pipeline (L1 Operational → L2 Behavior → L3 Organizational → Final Report) over the configured time window.
uv run python -m scripts.main analyze
Run with a custom time range:
# Time format: YYYY-MM-DD or YYYY-MM-DD HH:MM:SS
uv run python -m scripts.analyze_usage --from "2026-03-01 00:00:00" --to "2026-03-10 23:59:59"
Final Report — Print the latest report
Fetches and prints the most recent narrative report stored in ADB.
uv run python -m scripts.main final-report
Scheduled Collection via OpenClaw Cron
python -m scripts.main collect is the recommended way to keep data flowing into ADB. It runs a single collection pass, saves the file-offset checkpoint, and exits — making it safe to call repeatedly from any scheduler.
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- config.example.json 1021 B
- README_CN.md 6.5 KB
- README.md 6.9 KB
- requirements.txt 82 B
- scripts/__init__.py 0 B runs code
- scripts/analysis/__init__.py 0 B runs code
- scripts/analysis/behavior_insight.py 52 KB runs code
- scripts/analysis/operational_insight.py 26 KB runs code
- scripts/analysis/orchestrator.py 26 KB runs code
- scripts/analysis/organizational_insight.py 32 KB runs code
- scripts/analyze_usage.py 3.7 KB runs code
- scripts/collect_logs.py 25 KB runs code
- scripts/config.py 5.6 KB runs code
- scripts/db.py 2.8 KB runs code
- scripts/init_db.py 6.6 KB runs code
- scripts/llm_client.py 9.2 KB runs code
- scripts/main.py 4.0 KB runs code
- scripts/scheduler.py 3.5 KB runs code
- scripts/types.py 2.4 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 113 lines · 180 tokens per session scan C e8b76155c3e1
alibabacloud-adb-openclaw-insight is a skill published in the GitHub repository aliyun/alibabacloud-adb-mysql-mcp-server (32 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 180 tokens to every session and 1,050 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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