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The derivation rule names four classes and only three had anything implementing them. Class B is "needs a per-asset request, so a background job with its own freshness, never a stage that blocks", and a certificate is the clearest case: it expires and renews on a schedule no scan is aligned to. A dashboard built on a scan from six weeks ago reports every certificate that has auto-renewed since as expiring or expired — 548 hosts on this box sit inside a 30-day window right now, and on a 90-day ACME cycle every one of them would be wrong within a month. shared/services/cert_freshness.py + app.tasks.freshness.certificates (beat, 4h). The policy is the design: a certificate whose stored expiry is more than 30 days away is re-asked after 12h, one already inside its renewal window after 4h, nearest expiry first, 500 a pass, one tlsx handshake per host. Only the newest scan of each target is refreshed — an older scan's rows are a record of that run, not a claim about today. A host that did not answer keeps what the scan found and still gets its stamp moved: silence is not evidence the certificate changed, but an unreachable host must not be re-asked every four hours. It is opt-in, not opt-out (instance_settings.cert_recheck_enabled, default false, a switch in Settings). The threat feeds only download; this one handshakes the operator's targets outside a scan, and nobody should discover that after the fact. Two tool bugs, both the shape CLAUDE.md already lists four of. CLIToolRunner.run defaults to OutputFormat.PLAIN and only appends json_flag for JSONL, so passing json_flag without the format runs the tool with no -json at all — the first live pass answered 0 of 40. And tlsx writes every record it is going to write and then does not exit (40 hosts: 16s to emit, still running at 90s), so the run is bounded by budget(hosts) and Freshness.cut_short reports a pass that hit the ceiling instead of swallowing it. Together: 300.2s and 0 answers became 15.6s and 37 of 40. 19 tests, each proven to fail against 9 mutations of the policy. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013dKUV96WkQQETZBMoAG98C
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