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Skill evidence / consumer-goods-tpe-dashboard-custom-kpi-configure
Skill profile

consumer-goods-tpe-dashboard-custom-kpi-configure

Customize the Trade Promotion Effectiveness (TPE) Analytics dashboards' generic KPI slots (Promotion...

What this skill does for you

Customize the Trade Promotion Effectiveness (TPE) Analytics dashboards' generic KPI slots (Promotion Measure 1-3, Tactic Measure 1-2) with customer-chosen KPI measure codes and display names, without touching the shipped base model. Use when a customer/admin wants to "customize TPE dashboards", "change the KPIs on the Promotion/Tactic Analysis dashboard", or "swap in our own measure codes on the TPE dashboard".

Quoted from the skill description in the pinned source

Who made it

Publisherforcedotcom
Repositorysf-skills
Installs284as 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 consumer-goods-tpe-dashboard-custom-kpi-configure skill from forcedotcom/sf-skills.

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: d4a9aa448c7b743c1f1da41f41aa9723a6621232. Raw findings: 3. 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: d4a9aa448c7b743c1f1da41f41aa9723a6621232. Raw findings: 4. 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: d4a9aa448c7b743c1f1da41f41aa9723a6621232. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/forcedotcom/sf-skills
Pinned skill file
View source at revision
Revision
d4a9aa448c7b743c1f1da41f41aa9723a6621232
Package hash
sha256:682722bb11af5daedfa5b929848831e1d4d9d54bf175fd390e7b8f91934559b8
Licence
Apache-2.0