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Skill scan report

rebate-management-setup

View on GitHub
4 Info Automated analysis flagged 1 potential risk pattern.

What this skill does

The skill provides setup guidance and configuration checks for Salesforce Rebate Management, focusing on channel incentive programs, rebate types, payout calculations, and compliance reporting. It inc

github/pranavnagrecha - code-quality - 8 stars

Threatscode-quality

Threat analysis

code-quality1 finding

Skill info

Namepranavnagrecha/rebate-management-setup
Registrygithub
Version14f9b24
PURLpkg:github/PranavNagrecha/AwesomeSalesforceSkills@14f9b24?skill=rebate-management-setup
Stars8

Assessments (1)

code-quality1 finding LOW
LOW

code-quality via local-llm-review

scripts/check_rebate_management_setup.py

The script contains an incomplete function `check_lwc_raw_accrual_query` that ends abruptly with `return iss` instead of `return issues`. This is a code quality issue and does not represent a security

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of rebate-management-setup? Report an issue or request a rescan.

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