ololand-forensic-qoe-journal-test — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ololand-forensic-qoe-journal-test (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.
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Follow the OloLand command instructions below when the user asks for /journal-test or the equivalent workflow in Codex.
Detects anomalous journal-entry patterns that frequently accompany earnings management or fraud: period-end concentration spikes, round-number frequency above baseline, entries posted by users without authority, weekend/holiday postings, and reversing entries that don't reverse.
/journal-test <deal_id>deal_id (required) — The deal to test. Requires GL export with timestamps, posting user IDs, and account codes.analyze_forensic_qoe(deal_id) and extract the journal-entry testing section from the full battery. Do not pass a primitives argument. If GL timestamps or posting-user fields are missing, classify the result as a diligence gap rather than a clean finding.,000 or ,500? Above-baseline rates suggest estimation rather than transaction.Journal-entry testing is the deepest forensic primitive in the QoE arsenal — and the one Big-4 charges the most for. Public-company audit literature (Center for Audit Quality) identifies anomalous JE patterns as the highest-yield fraud indicator. Surfacing them pre-LOI tells you whether the underlying books are reliable enough to bid on.
/journal-test deal_acme_2026~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.