ijoc-workflow — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ijoc-workflow (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.
This is the router. It tells you *which ijoc- skill to use at the current stage* of a manuscript aimed at the INFORMS Journal on Computing (IJOC) — the INFORMS journal at the intersection of operations research / management science and computer science. IJOC judges a paper on its computational and/or methodological advance: algorithm design and analysis, exact and heuristic optimization, integer/stochastic/robust programming, simulation, computational probability, machine learning for OR, data-science methodology, and the software/computational tooling that makes OR work. A clever application alone does not clear the bar; the computing* must be the contribution.
Operational tells that you are at IJOC and not a sibling: the author selects one of the journal's 10 technical areas at submission via ScholarOne (mc.manuscriptcentral.com/ijoc); the Area Editor desk-rejects roughly 40% of submissions and the associate editor's identity is never disclosed to authors; review is single-blind (reviewers see author names); and IJOC runs a distinctive reproducibility regime — accepted papers deposit code/data in the IJOC Software and Data Repository on GitHub (the INFORMSJoC organization), which snapshots a tagged release and mints a separate code DOI (`….cd`) alongside the article DOI. Editor-in-chief: David L. Woodruff (UC Davis), succeeding Alice E. Smith (whose term ended 2025-12-31); confirmed via INFORMS (检索于 2026-06-22;以官网为准). Re-verify volatile specifics on the official INFORMS pages.
| Current symptom | Next skill |
|---|---|
| Unsure the paper is computing-first or which of the 10 areas fits | ijoc-topic-selection |
| The algorithm/model is described but its formulation, correctness, or guarantees are loose | ijoc-theory-development |
| Contribution vs. OR/MS and CS prior art is fuzzy or oversold | ijoc-literature-positioning |
| Method choice, baselines, or experimental protocol are not pinned down | ijoc-methods |
| Computational experiments need instances, fair tuning, timing, and statistics | ijoc-data-analysis |
| The "what is new computationally" sentence is not sharp | ijoc-contribution-framing |
| Performance profiles / runtime-vs-size plots are dense or misleading | ijoc-tables-figures |
| Prose buries the method; abstract/intro do not land the advance | ijoc-writing-style |
| Page limit, LaTeX template, area choice, GitHub deposit prep | ijoc-submission |
| Want to understand AE/AE-blind timeline, desk-reject odds, or sibling transfer | ijoc-review-process |
| Received an R&R; need a response-letter and re-experiment plan | ijoc-rebuttal |
ijoc-topic-selection — confirm computing-first scope and the right areaijoc-theory-development — formulate the algorithm/model; state correctness/complexityijoc-literature-positioning — stake the advance vs. OR/MS and CS frontiersijoc-methods — method choice, baselines, experimental designijoc-data-analysis — instances, tuning, timing, statistical comparison, scalingijoc-contribution-framing — sharpen the one-sentence computational claimijoc-tables-figures — performance profiles and scaling plotsijoc-writing-style — make the advance land (abstract + intro last)ijoc-submission — page limit, template, area, GitHub deposit preflightijoc-review-process — calibrate the AE-blind cycle; consider sibling fitijoc-rebuttal — after the R&Rijoc-writing-style is a late polish; do not rewrite the intro before the algorithm and experiments settle.IJOC spans distinct computing archetypes; the binding constraint differs by archetype. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| exact algorithm / new formulation (B&C, decomposition) | correctness + complexity + benchmark instances | ijoc-theory-development → ijoc-data-analysis |
| (meta)heuristic / matheuristic | fair tuning, baselines, statistical wins not luck | ijoc-methods → ijoc-data-analysis |
| ML-for-OR / learning-to-optimize | generalization claim + OR baseline + reproducibility | ijoc-methods → ijoc-data-analysis |
| simulation / computational probability | DGP, seeds, variance reduction, validation | ijoc-methods → ijoc-data-analysis |
| software / computational tooling | what is the methodological news beyond the tool | ijoc-contribution-framing → ijoc-submission |
A user says: "My branch-and-cut solver beats the commercial baseline on my instances, but a referee says the win could be tuning and the instance set is cherry-picked." That is two IJOC pushbacks — unfair experimental comparison and non-representative benchmark — both owned by ijoc-data-analysis, with the formulation/cut-validity defense in ijoc-theory-development. Route to ijoc-data-analysis first: re-run on standard library instances (e.g., MIPLIB-class), tune both solvers on a disjoint set, report a performance profile and a Wilcoxon test, and disclose hardware and time limits. Only once the win survives do you return to ijoc-tables-figures and ijoc-rebuttal.
if decision_letter_arrived: -> ijoc-rebuttal
elif ready_to_submit: -> ijoc-submission
elif exhibits_or_profiles: -> ijoc-tables-figures
elif experiments_or_benchmarks: -> ijoc-data-analysis
elif method_or_baselines: -> ijoc-methods
elif formulation_or_guarantees: -> ijoc-theory-development
elif claim_or_positioning_fuzzy: -> ijoc-contribution-framing / ijoc-literature-positioning
else: -> ijoc-topic-selection~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.