demog-tables-figures — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited demog-tables-figures (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.
Exhibits are where an expert demographer checks whether the result is real — and where demographic data communicates best. Demography also limits exhibit counts: Research Articles allow roughly 8 tables and figures, Research Notes 4 (confirm current limits on the official page). Every exhibit must earn its place.
note alone. State the population, period, age range, source/vintage, units, and N or exposure.
call for an age schedule or a Lexis surface (see below).
curves, and decomposition components — not bare lines or point estimates.
readers must parse it quickly.
life tables, sensitivity grids, and supplementary detail to the online appendix. This also keeps you within the exhibit limit.
materials (see demog-data-and-reproducibility).
Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-supplement drift). Full map: execution-with-mcp. Demography is formal + empirical demography; the causal chain serves its reduced-form lane, while formal demographic modeling uses its own tools — decomposition (oaxaca / gelbach) is often central.
etable (multi-model columns) or did_summary_to_latex straight from theresult_id.
plot_from_result / enhanced_event_study_plot / event_study_table —axis units and the SE/clustering note baked in.
interpretable units.
See a full fitted-result → exhibit chain in the JF execution walkthrough.
Run this as a concrete capability pass. First lock the demographic process, data source, time scale, selection/migration/mortality issue, and uncertainty; then test whether the manuscript addresses population-science reviewers who inspect demographic process, measurement, cohort/period logic, and population validity.
claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.【Main exhibit】what it shows + which demographic graphic + why
【Self-contained?】title + labels + note + population/period/source/N present? [Y/N]
【Uncertainty shown?】bands/intervals on rates/curves/components? [Y/N]
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Article vs appendix】split decided, within exhibit limit?
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】demog-writing-style../../resources/external_tools.md — plotting, Lexis-surface, life-table, and mapping packages../../resources/official-source-map.md — table/figure limits by article type~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.