sales-forecast-diagnostic

Diagnose why an existing sales forecast is unreliable and recommend fixes - stage inflation and happy...

What this skill does for you

Diagnose why an existing sales forecast is unreliable and recommend fixes - stage inflation and happy ears, sandbagging, deals without verifiable buyer evidence, stale or mass-pushed close dates, wrong forecast-category assignment, zombie and duplicate opportunities, late-created deals, manager roll-up overrides, and comp incentives that reward bias - separating data-quality from behavioral from genuine demand problems. Use whenever the user mentions forecast accuracy, a forecast miss, reps sandbagging, deals that keep slipping, "why did we miss the number", or "our commit is never right" - even if they never say "forecast". Covers B2B deal-based and B2C/high-volume. Do NOT use for pipeline coverage modeling - use mbfinotti/sales-skills@sales-pipeline-coverage-modeling instead.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti

Repositoryrevops-skills

Installs887as 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 sales-forecast-diagnostic skill from mbfinotti/revops-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.

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: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. 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: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . 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: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mbfinotti/revops-skills
Pinned skill file: View source at revision
Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca
Package hash: sha256:46d324179cfea2fcd300d1d004283b85cbf14ca995f84fd9a530cb72968c4869
Licence: MIT