aaag-research-design — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited aaag-research-design (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.
The Annals spans four areas and accepts many methodologies, but is demanding about each. The design must credibly connect the geographic argument (aaag-theory-building) to the evidence, and must take space and scale seriously — spatial dependence, the MAUP, projection, and sampling are design issues, not afterthoughts. This skill is mode-aware: pick the section that matches your work.
aaag-literature-positioningGWR/MGWR where heterogeneity is the point); state how the MAUP / scale could change conclusions.
measurements; spatial sampling and its biases.
diagnostics; for prediction, use spatially-aware cross-validation (blocked/spatial CV), not random folds.
truth; quantify accuracy (confusion matrix, kappa/F1, RMSE) with an independent validation sample.
uncertainty budget end to end.
is a case of. Convenience is not a rationale.
archives, discourse/textual analysis); state how interpretations were checked.
(see aaag-transparency-and-data), including consent and geoprivacy.
(e.g., land-change observation + livelihood interviews), and how convergence/divergence is handled.
For the single strongest rival explanation, write: "If the rival held rather than my argument, the [spatial pattern / measurements / accounts] would look like ___; instead they look like ___." If the design cannot distinguish them — including ruling out a scale or spatial-autocorrelation artifact — it does not yet identify the contribution.
| Likely objection | Area | The fix |
|---|---|---|
| "Your OLS ignores spatial autocorrelation." | Methods/Human | Test residual Moran's I; move to a spatial model and report diagnostics. |
| "This is a unit-of-analysis artifact (MAUP)." | Methods/Nature-Society | Re-run across areal units/bandwidths; show stability or scope the claim by scale. |
| "Random CV overstates accuracy on spatial data." | Methods/RS | Use blocked/spatial CV; report the spatial structure of error. |
| "No independent validation of the classification." | RS/Physical | Add a held-out reference sample + area-adjusted accuracy. |
| "Convenience case; what is it a case of?" | Human/Nature-Society | State the case-selection logic and the population it represents. |
| "Whose voice / positionality?" | Human | Make reflexivity and interpretation-checking explicit. |
in the design, not patched in robustness.
needs case logic, reflexivity, and disconfirmation criteria instead.
【Mode】spatial-quant / remote-sensing-physical / qualitative / mixed
【Estimand or claim】what is identified/shown
【Spatial integrity】dependence / MAUP-scale / projection / validation handled? [Y/N]
【Rival ruled out】the adjudication sentence (incl. scale/spatial-artifact)
【Robustness】planned checks
【Next】aaag-data-analysis../../resources/external_tools.md — spatial-analysis, GIS, remote-sensing, and CAQDAS tooling by area../../resources/official-source-map.md — areas, scope, and review model~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.