Skills data-analysis

📦

data-analysis

Name: data-analysis
Author: Acurioustractor

Content revision r1 Medium Risk ⚙️ External commands🌐 Network access

Analyze Empathy Ledger Story Data

Story teams need consistent ways to extract themes, quotes, and connections from transcripts. This skill provides Empathy Ledger patterns for AI analysis, Supabase queries, and related story suggestions.

Supports: Claude Codex Code(CC)

📊 70 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "data-analysis" from https://skillstore.io/skills/acurioustractor-data-analysis.md and its manifest at https://skillstore.io/api/skills/acurioustractor-data-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/acurioustractor-data-analysis.md Signed manifest GET /api/skills/acurioustractor-data-analysis/manifest Signed lockfile GET /api/skills/acurioustractor-data-analysis/lockfile

Test it

Using "data-analysis". A transcript describes family heritage, language loss, and renewal through teaching.

Expected outcome:

Themes: family, heritage, language, resilience, teaching. Suggested review note: confirm cultural terms with a knowledgeable reviewer before publishing.

Using "data-analysis". A product engineer needs related stories for a published story about ceremony and land.

Expected outcome:

Recommendation plan: compare shared themes, filter to published stories, rank by overlap, and show a short reason for each suggestion.

Using "data-analysis". A researcher wants a monthly view of quotes and dominant themes.

Expected outcome:

Analysis outline: count quote-bearing transcripts, group by theme, compare totals over time, and review unusual changes before reporting.

Security Audit

Medium Risk

v9 • 7/7/2026 Open versioned report

The static findings are mostly false positives from Markdown code fences, TypeScript template literals, SQL examples, and schema field names. No evidence found of credential exposure, shell execution, or malicious auditor prompt injection. A semantic issue remains because untrusted transcript text is embedded directly in an AI prompt and parsed without validation.

Files scanned

1,250

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (1)

Medium

refs/analysis-patterns.md:53-76

Prompt Injection Risk in Transcript Analysis

The sample prompt places `${transcript.transcript_content}` after analysis instructions and then parses the model response with `JSON.parse`. A transcript can contain adversarial instructions that alter output or stored metadata.

Lines 53-76 show direct interpolation of stored transcript content into the user prompt and immediate parsing of the response. No schema validation or prompt boundary controls are shown.

Audited by: codex View Audit History →

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Open versioned report

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https://skillstore.io/skills/acurioustractor-data-analysis/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

Acurioustractor. (2026). data-analysis security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/acurioustractor-data-analysis/audits/9

BibTeX citation

@techreport{acurioustractor-acurioustractor-data-analysis-2026,
  author = {Acurioustractor},
  title = {data-analysis security audit report (audit version 9)},
  institution = {Skillstore},
  year = {2026},
  number = {9},
  url = {https://skillstore.io/skills/acurioustractor-data-analysis/audits/9},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-analysis security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
  - name: "Acurioustractor"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/acurioustractor-data-analysis/audits/9"
identifiers:
  - type: other
    value: "skillstore:acurioustractor-data-analysis:audit:9"
    description: "Skillstore immutable audit report identifier"

Compare variants

3 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

supercent-io Recommended

supercent-io-data-analysis

Skillstore Score 78

Evidence Confidence High

Skillstore usage 37

Updated

2026-08-21

Acurioustractor Current

acurioustractor-data-analysis

Skillstore Score 70

Evidence Confidence High

Skillstore usage 15

Updated

2026-08-21

BOHUYESHAN-APB

bohuyeshan-apb-data-analysis

Skillstore Score 38

Evidence Confidence Medium

Skillstore usage 10

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Prepare Transcript Insights

Extract themes, quotes, summaries, and cultural elements from storytelling transcripts for review.

Build Story Recommendation Features

Use shared themes and overlap scoring to suggest related stories inside an application.

Explore Theme Analytics

Review query patterns for quote counts, theme frequency, and storyteller expertise.

Try These Prompts

Analyze One Transcript

Use this skill to summarize one Empathy Ledger transcript. Identify themes, key quotes, cultural elements, and review notes.

Find Related Stories

Use this skill to design related story suggestions for a selected story. Explain the theme overlap and ranking logic.

Plan Theme Dashboard Queries

Use this skill to draft Supabase queries for theme frequency, quote analytics, and storyteller expertise reporting.

Review Analysis Pipeline Safety

Use this skill to review an AI transcript analysis pipeline. Check prompt boundaries, output validation, sync commands, and data update risks.

Best Practices

Validate AI output before writing themes, summaries, or quotes to the database.
Keep transcript content separated from instructions when prompting an AI model.
Run sync and batch commands in dry-run mode before updating data.

Avoid

Do not treat generated themes as final taxonomy changes without review.
Do not run batch updates against production data without backups and access checks.
Do not expose local API tokens or transcript content in shared logs.

Frequently Asked Questions

Does this skill analyze data automatically?

No. It provides reference patterns, prompts, queries, and workflow guidance for Empathy Ledger analysis features.

Which tools can use this skill?

The report lists support for Claude, Codex, and Claude Code.

What database does it assume?

It assumes Supabase tables for transcripts, stories, storytellers, themes, and analysis metadata.

Can it help with story recommendations?

Yes. It documents shared-theme matching and reason generation for related story suggestions.

What should be reviewed by humans?

Review extracted quotes, cultural elements, taxonomy changes, and summaries before publication.

Are the command examples safe for production?

Treat them as local project examples. Use dry-run mode, backups, and correct access controls before production updates.

Developer Details

Author

Acurioustractor

License

MIT

Skillstore revision

Version notice

The author did not declare a version.

Repository

https://github.com/Acurioustractor/empathy-ledger-v2/tree/main/.claude/skills/local/data-analysis

Ref

d46e62089a6dfc9e14ea02eebd9b8e2ad2dfe1f4

Maintenance freshness

7/18/2026

Usage

13 downloads · 329 views

File structure

📁 refs/

📄 analysis-patterns.md

📄 supabase-queries.md

📄 sync-status.md

📄 theme-taxonomy.md

📄 SKILL.md

data-analysis

Install with my Agent

Agent-readable resources

Test it

Security Audit

Confirmed security concerns (1)

Risk Factors

Copy report link

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Embed card

APA citation

BibTeX citation

CITATION.cff

Compare variants

Skillstore Score

What You Can Build

Prepare Transcript Insights

Build Story Recommendation Features

Explore Theme Analytics

Try These Prompts

Best Practices

Avoid

Frequently Asked Questions

Developer Details