jet-topic-selection — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited jet-topic-selection (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.
JET publishes across mechanism design, information economics, decision theory, game theory, matching, market design, political economy, and finance / macroeconomic / monetary theory — broad general theory in one venue, not a subfield niche. The single deciding criterion is a rigorous, original theoretical contribution. Ask three questions:
is a regression coefficient or a calibration with no new theoretical result, JET is off-fit — regardless of how clean the empirics are.
theorem, will not clear the desk screen (see jet-review-process).
in theory? JET admits such work only* as the application or test of a theoretical contribution that is itself the paper's point — not as a stand-alone empirical paper.
If you cannot, the project is not yet a JET paper.
general result that no referee can verify (see jet-identification-strategy).
| Your core deliverable | JET verdict | If off-fit, reroute |
|---|---|---|
| New characterization / existence / impossibility theorem in a core area | in scope — lead with it | — |
| Counterexample overturning a folk presumption | in scope when the presumption matters to a literature | frame the economics of why the presumption mattered |
| New solution concept or preference axiomatization | in scope; expect heavy scrutiny of the axioms' behavioral content | — |
| Asset-pricing result whose substance is stochastic-analysis machinery (semimartingales, no-arbitrage functional analysis) | usually a better fit at a mathematical-finance venue; JET wants the economics of the theorem | finance theory belongs at JET when incentives, information, or equilibrium do the work |
| Structural estimation / calibration exercise | off-fit regardless of model quality | empirical or quantitative-macro journals |
| Market-design algorithm with performance proofs | in scope when the theorem is the contribution | otherwise an OR/CS venue |
A team holds (i) a stability-existence theorem for matching with regional constraints, (ii) simulations on synthetic data, and (iii) a policy application. Running the three questions:
result is a special case of a published substitutes condition, it will not clear the screen.
numbered Example with a script (jet-data-analysis).
Verdict: JET-ready — lead with the theorem, demote the policy narrative to one motivation paragraph, and name "matching / market design" for editor routing.
technically harder — the lead theorem is what the desk screen reads.
follow as a corollary section.
【Core result】<the theorem/characterization in one sentence>
【Scope fit】in-scope theory area: <area> | off-fit: <why>
【Empirical/computational content】none | grounded-in-theory | stand-alone (off-fit)
【Verdict】JET-ready / reframe / send elsewhere → jet-literature-positioning~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.