R Analyst
R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, d... Skill: R Analyst Owner: loutai0307-prog Summary: R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, d... Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-17T06:27:03.687Z | user Fix: align SKILL.md commands with script implementation v1.0.0 | 2026-04-17T06:13:19.549Z | user Initial release Archive index: Archi
Rank
62
Safety
84
Downloads
1.2k
Updated
Oct 11, 2026
Version
1.0.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.2K downloadsadoption · observed Oct 11, 2026
- Latest release
- 1.0.1release · observed Apr 17, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s178me4n5rr0ch93xv584tjyv183s7r1:r-analyst- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-loutai0307-prog-r-analyst/snapshot"
Documentation
CLAWHUB
5,922 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: "r-analyst" description: "R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, detecting missing values and outliers, or describing CSV dataset structure." --- # r-analyst ## Triggers on r statistics, csv analysis, data correlation, missing values, ascii histogram, describe dataset, r summary, outlier detection, pearson correlation ## What This Skill Does Perform R-style data analysis on CSV files using Python 3. No R installation required. ## Commands ### stats Compute descriptive statistics (R-style summary: Min/1st Qu/Median/Mean/3rd Qu/Max/SD). ```bash bash scripts/script.sh stats <file.csv> [column] ``` ### plot Generate an ASCII histogram for a numeric column. ```bash bash scripts/script.sh plot <file.csv> [column] [bins] ``` ### correlate Compute Pearson correlation matrix for all numeric columns. ```bash bash scripts/script.sh correlate <file.csv> ``` ### clean Detect missing values and statistical outliers (3σ rule). ```bash bash scripts/script.sh clean <file.csv> ``` ### describe Show dataset structure, column types, unique value counts, and sample values. ```bash bash scripts/script.sh describe <file.csv> ``` ### help Show all available commands. ```bash bash scripts/script.sh help ``` ## Requirements - bash 4+ - python3 (standard library only — no R needed) Powered by BytesAgain | bytesagain.com
_meta.json
{
"ownerId": "kn73mq8fmvt64rz26m55z10wb982krr4",
"slug": "r-analyst",
"version": "1.0.1",
"publishedAt": 1776407223687
}skill-card.md
## Description: R-style statistical analysis powered by Python 3 for descriptive statistics, ASCII histograms, Pearson correlation matrices, missing value and outlier checks, and CSV structure summaries. This skill is ready for commercial/non-commercial use. ## Publisher: [loutai0307-prog](https://clawhub.ai/user/loutai0307-prog) ### License/Terms of Use: MIT-0 ## Use Case: Developers, analysts, and data practitioners use this skill to run local R-style summaries over CSV files without installing R. It helps inspect dataset shape, numeric distributions, correlations, missing values, and simple outlier signals. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Very large CSVs or excessive histogram bin counts can consume local compute or make terminal output unwieldy. Mitigation: Run the skill on trusted, reasonably sized CSVs and choose practical histogram bin counts. Risk: The skill reads local CSV files selected by the user, so sensitive dataset contents may appear in analysis output. Mitigation: Use only approved datasets and review generated summaries before sharing output. ## Reference(s): - [ClawHub Skill Page](https://clawhub.ai/loutai0307-prog/skills/r-analyst) ## Skill Output: **Output Type(s):** [text, markdown, shell commands, guidance] **Output Format:** [Markdown or terminal text with tabular statistics, ASCII histograms, and inline shell commands] **Output Parameters:** [1D] **Other Properties Related to Output:** [Local CSV analysis output generated by bash and Python 3 standard-library code.] ## Skill Version(s): 1.0.1 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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}Record generated Oct 11, 2026.
