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Skill evidence / supply-chain-optimizer
Skill profile

supply-chain-optimizer

Supply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand...

What this skill does for you

Supply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand forecasting frameworks. Use when analyzing supply chains, optimizing inventory, or evaluating suppliers.

Quoted from the skill description in the pinned source

Who made it

Publishertravisjneuman
Repository.claude
Installs337as 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 supply-chain-optimizer 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.

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: 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:e1625beb9c155bdeaa6e2a50d72b2f954116801a23475e89aefb220f33d0a8c9
Licence
MIT