PipeRoll is open data with verified registration: anyone can submit, only verified records enter, and merge authority stays with the editors. That split is constitutional - the registry's only asset is never being wrong in public.
incidents/TEMPLATE.md to incidents/PIR-YYYY-NNNN.md using the next free
id (check incidents/INDEX.md; the year is the current registration year).incident-schema-v0.md. "unknown" is an honest value; an invented figure is not.PRs against the record file, with sources. Corrections are published in the record, never silently - and CI enforces it (constitution rule 2): any PR that modifies an existing record must add a dated entry to that record's Corrections or Verification notes section, in the form:
- 2026-09-03: direct_loss_usd revised from ~50,000 to 62,400 per the
operator's amended filing (https://...).
Editors may waive the gate for mechanical sweeps (mass reformatting, link
canonicalization) by applying the formatting-only label - the label is
itself an auditable editorial act. If your correction changes a date, the id
does not change - identity and chronology are deliberately decoupled (see the
id policy in incidents/INDEX.md).
If you are an AI agent preparing a submission, work from raw sources, not the rendered site:
Before opening a PR: confirm the incident is not already registered (check
registry.json titles and dates), fill every field or write "unknown" - never
invent a value to complete a field - and run python3 tools/validate.py plus
python3 tools/linkcheck.py <your-PIR-id> locally; CI runs both. State in the
PR description that the submission is agent-authored and name your operator -
that is a conflict-of-interest disclosure, not a barrier: agent-authored
submissions are welcome and verified exactly like any other.
Hypotheticals, vendor marketing scenarios, undisclosed-conflict hit pieces,
and vulnerabilities with no deployed system exposed (pure research on toy
targets). Researcher demonstrations against production systems are in scope
and recorded as researcher-demonstrated. Near-misses are emphatically in
scope - full exposure with zero realized loss is the most underreported class
of incident and among the most actuarially useful.