data-reconciliation-and-financial-controls — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited data-reconciliation-and-financial-controls (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill when correctness must be proven with control evidence, not only tests. It helps agents design reconciliations, control totals, exception workflows, and audit-friendly validation for high-trust datasets.
Do not rely on a few spot queries when the business requires reconciled numbers.
Clarify:
Common patterns:
Reconciliation often depends on accounting windows or source close timing.
Control systems need reviewable records, not only ephemeral job output.
| Rationalization | Reality |
|---|---|
| "The transformation logic is simple enough to trust." | Critical numbers still need independent validation evidence. |
| "A small variance is probably fine." | Acceptable variance must be defined, not guessed after a miss. |
| "The warehouse total matches once, so we are done." | Control reliability requires repeatable evidence over time. |
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.