dcf-methodology — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited dcf-methodology (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.
OloLand's deterministic DCF engine has specific conventions. Use these when discussing, requesting, or interpreting DCF output from any OloLand MCP tool.
FinancialDataSnapshot stores values in ABSOLUTE DOLLARS.format_smart() (the platform helper).forensic-qoe skill to find those signals first.citation-discipline skill to cite the material-weakness disclosure inline alongside the DCF output.When citing DCF output to a user, include:
$84.3M)[N] citations to the source documents.Example:
DCF Enterprise Value:$84.3Mbase,$67.1Mlow /$104.2Mhigh (WACC 9.5% ± 1.5%, terminal growth 2.5% ± 0.5%). Implied EV/EBITDA = 10.9x base. Key driver: revenue growth assumption of 4.5% (5-year CAGR from FY20-FY25 [1]). Credibility caveat: the FY25 financials carry a going-concern qualification [2]; the DCF is a useful scenario but covenant/liquidity evidence should override it for entry-price decisions.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.