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data-analysis
by
ModestyRichards
· GitHub ↗
· v1.0.0
· MIT-0
106
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0
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0
Active Installs
1
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Install in OpenClaw
/install modesty-data-analysis
Description
Analyze, visualize, and explain data using SQL, Python, or spreadsheets to deliver decision-ready reports, cohort and funnel analyses, and hypothesis tests.
Usage Guidance
This skill is a coherent, instruction-only package of analysis methodology and templates. Before using it: (1) understand that to run real queries or spreadsheets you'll need to grant the agent access to your data sources — prefer short-lived, scoped credentials or connector tokens rather than long-lived admin keys; (2) do not paste sensitive production credentials into prompts; (3) review outputs (especially anything recommending actions) before approving changes; (4) if the agent will access PII or regulated data, enforce least privilege, masking, and logging; and (5) if you are uncomfortable with autonomous invocation, restrict or require explicit approval when the agent requests external data access.
Capability Analysis
Type: OpenClaw Skill
Name: modesty-data-analysis
Version: 1.0.0
The skill bundle is a purely instructional framework designed to guide an AI agent in performing high-quality data analysis. It contains no executable code, scripts, or external network dependencies. The instructions in SKILL.md and the supporting reference files (e.g., pitfalls.md, techniques.md) focus entirely on analytical methodology, statistical rigor, and decision-oriented reporting, with no evidence of malicious intent or prompt-injection attacks.
Capability Tags
Capability Assessment
Purpose & Capability
The name and description (SQL/Python/spreadsheet-based analysis, reports, cohorts, funnels, hypothesis tests) match the SKILL.md and accompanying docs. The skill is a methodology-and-templates pack rather than an integration that would need credentials or binaries, so the lack of required env vars or install steps is consistent.
Instruction Scope
SKILL.md contains procedural guidance, checklists, templates, and analytic best practices. It does not instruct the agent to read arbitrary system files, reach out to hidden endpoints, or exfiltrate data. It only references the included guidance files and methodological steps for analysis.
Install Mechanism
There is no install spec and no code to execute — the skill is instruction-only and therefore does not write code or binaries to disk. This is low-risk and coherent with its purpose.
Credentials
The skill declares no required environment variables or credentials, which is reasonable because it's a guidance/template skill. However, real-world use of the skill (querying databases, spreadsheets, BI tools) will normally require the agent or user to provide credentials or connectors at runtime; those are not requested by this skill itself. Users should be aware that granting the agent access to data sources is an operational step outside the skill.
Persistence & Privilege
The skill is not 'always' enabled and does not request persistent system-wide configuration or modify other skills. Default autonomous invocation (model-invocable) is allowed, which is standard and not problematic here by itself.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install modesty-data-analysis - After installation, invoke the skill by name or use
/modesty-data-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Added metric contracts, chart guidance, and decision brief templates for more reliable analysis.
- Expanded documentation on methodology-first analysis, statistical rigor, and output standards.
- Included reference files for KPI definitions, chart selection, pitfalls, and analytical techniques.
- Clarified security, privacy, and external endpoint handling.
- Added table for related skills and installation guidance.
Metadata
Frequently Asked Questions
What is data-analysis?
Analyze, visualize, and explain data using SQL, Python, or spreadsheets to deliver decision-ready reports, cohort and funnel analyses, and hypothesis tests. It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.
How do I install data-analysis?
Run "/install modesty-data-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is data-analysis free?
Yes, data-analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does data-analysis support?
data-analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created data-analysis?
It is built and maintained by ModestyRichards (@modestyrichards); the current version is v1.0.0.
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