Edge Copy setup link
Skill evidence / data-analysis
Skill profile

data-analysis

Data analysis, visualization, and storytelling skill for financial and RevOps contexts.

What this skill does for you

Data analysis, visualization, and storytelling skill for financial and RevOps contexts. Use when: analyzing revenue data, building forecasts, cohort analysis, churn modeling, pipeline analytics, creating data-driven reports, building dashboards, cleaning messy data, sanity-checking analytical claims, exporting to Excel with formulas, or extracting data from PDFs. Features decision logging, bias-aware interpretation, and progressive disclosure (slide deck -> detailed report -> full notebook with all decisions documented).

Quoted from the skill description in the pinned source

Who made it

Publishercasper-studios
Installs323as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the data-analysis skill from casper-studios/casper-marketplace.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 99ee1b05bb6ad2cd11d42680f4502999265eac54. Raw findings: 1. Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 99ee1b05bb6ad2cd11d42680f4502999265eac54. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 99ee1b05bb6ad2cd11d42680f4502999265eac54. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/casper-studios/casper-marketplace
Pinned skill file
View source at revision
Revision
99ee1b05bb6ad2cd11d42680f4502999265eac54
Package hash
sha256:5257ab94cd351130ea3324af27075922346bbd7f4cb677cd271a59c855b550d2
Licence
MPL-2.0