data-analyst

A data-analysis helper that connects to databases, runs SQL queries, and turns dataset results into business insights. SQL is a language for asking questions of structured database tables.

In plain words
What is it for?
Use it to inspect schemas, retrieve limited samples, analyze data with SQL, and use code for more complex statistics or charts. It presents findings instead of only listing rows.
Why use it?
It reduces the need to manually inspect tables and raw query results when trying to understand data. It also helps clarify the database structure before analysis.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/clawdotnet/openclaw.net/data-analyst
Any agent
npx skills add clawdotnet/openclaw.net --skill data-analyst
Clone the repo
git clone --depth 1 https://github.com/clawdotnet/openclaw.net

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 251 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00251
Opus 5 $0.00013 $0.00125
Sonnet 5 $0.00005 $0.00050
Haiku 4.5 $0.00003 $0.00025

Measured 2d ago against content hash b32dfaca84a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-analyst scanned grade A with 0 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 2d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/OpenClaw.Gateway/skills/data-analyst/SKILL.md · 24 lines

What it actually says

When asked to "analyze data", "query the database", or act as a "data analyst":

  1. Understand the Schema:

    • Use the database tool to inspect the available tables and schema structure.
    • Ask for clarification if column names or relationships are ambiguous.
  2. Data Extraction:

    • Write optimized SQL queries using the database tool to extract the necessary information.
    • Limit result sets (e.g., LIMIT 100) if exploring large tables to avoid context window overflow.
  3. Advanced Analysis (If Needed):

    • If SQL is insufficient (e.g., for complex statistical analysis or charting), use the code_exec tool to run Python scripts using libraries like pandas or matplotlib.
  4. Reporting Insights:

    • Do not just dump raw data rows into the chat. Synthesize the findings into clear business insights.
    • Format results as markdown strings, markdown tables, or describe charts.
    • Clearly state any assumptions made during the analysis.
Changes

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.

  1. 2d ago First seen · 24 lines · 25 tokens per session scan A b32dfaca84a8

Subscribe to this mod's changes

data-analyst is a skill published in the GitHub repository clawdotnet/openclaw.net (487 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 251 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

video2knowledge

Convert videos into timestamped subtitles and structured knowledge artifacts. Two ingestion paths: (1) a native multimodal VLM (at most 4B params, via Ollama) reads sampled video frames into timestamped captions; (2) faster-whisper ASR transcribes the audio into timestamped subtitles. Then refine into a structured…

CacinieP/video2knowledge · 161 tokens

image-understanding

Enable image understanding capabilities for describing/analyzing images, reading text, and answering questions about visual content.

famclaw/famclaw · 25 tokens

superplane-changelog

When generating a SuperPlane changelog from merged commits. Use for "what's new" summaries with new integrations, new components/triggers, improvements, security updates, and bug fixes. Output is user-focused markdown in tmp/.

superplanehq/superplane · 50 tokens

review-agents-md

Audit Dograh AGENTS.md files for drift against the live repo and for bad scope boundaries between parent and child docs. Use when the user asks to review existing AGENTS files, identify stale guidance, decide whether a subtree needs its own AGENTS.md, or update the AGENTS.md hierarchy under the repo root, api/, or ui/.

dograh-hq/dograh · 82 tokens

datadesigner-docs

Maintain the NeMo Data Designer Fern docs site under fern/. Use for any documentation change. Triggered by: "edit docs", "add doc page", "update docs", "rename page", "fix broken link", "add redirect", "preview docs", "publish docs", "regenerate notebooks", "update dev note", any request that touches fern/.

NVIDIA-NeMo/DataDesigner · 80 tokens

commit

Commit current changes with a clear, descriptive message.

NVIDIA-NeMo/DataDesigner · 11 tokens