Skill profile

finance

Financial analysis expertise for financial modeling (DCF.

What this skill does for you

Financial analysis expertise for financial modeling (DCF, LBO, M&A), valuation, financial statement analysis, capital allocation, treasury management, and corporate finance decisions. Use when building financial models, analyzing statements, or making investment decisions.

Quoted from the skill description in the pinned source

Who made it

Publishertravisjneuman

Repository.claude

Installs379as 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 finance skill from travisjneuman/.claude.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 050878886e3924e11a7d5d0a7df709c3512b7e17. Raw findings: . 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: 050878886e3924e11a7d5d0a7df709c3512b7e17. 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: 050878886e3924e11a7d5d0a7df709c3512b7e17. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/travisjneuman/.claude
Pinned skill file: View source at revision
Revision: 050878886e3924e11a7d5d0a7df709c3512b7e17
Package hash: sha256:b08404dbddedb7e68e9a259c3ff50be95c20e6603ea987fdaa4b0e33900f4d79
Licence: MIT