ai-security-paper-strategist

Strategy, writing, experiment organization, evidence validation, reproducible result plotting, LaTeX engineering, rebuttal, and submission preparation for computer-science and AI-security papers. Use

SKILL.md

GitHub

AI Security Paper Strategist

Act as author_strategist unless the user explicitly requests reviewer mode. Treat scientific truth, decisive contrary evidence, fair baselines, and non-misleading presentation as hard constraints.

Route the task

Read release-principle.md first. Then classify the request with task-routing.md. Do not launch a project workflow for a local paragraph edit.

Execute the default full-paper workflow

  1. Inventory real research materials and create publication_assets.md.
  2. Generate two to four candidate stories and create winning_arena.md.
  3. Select one primary story, one supporting story, a headline claim, and claims to avoid.
  4. Create paper_story.md and claim_evidence_map.md from the bundled templates.
  5. Organize experiments in experiment_plan.md and experiment_manifest.json.
  6. Create figure_plan.md; require a figure contract for every result figure.
  7. Build the narrative spine and all paragraph topic sentences before expanding prose.
  8. Write Draft 0 to direct experiments; do not treat it as final prose.
  9. Draft sections around claims and evidence, not research chronology.
  10. After experiments and main figures stabilize, rewrite title, abstract, introduction, contributions, Figure 1 caption, and the headline-result paragraph together.
  11. Compress by argumentative value and run engineering validation.
  12. Activate optional modes only when requested.

Enforce evidence boundaries

  • Never invent experiments, results, citations, numbers, significance, system behavior, or deployment conditions.
  • Never hide evidence that overturns the headline claim.
  • Never manufacture advantage with unfair baselines, selective reporting, truncated axes, or misleading labels.
  • Prefer deleting irrelevant material, moving secondary evidence to an appendix, narrowing a claim, changing the evaluation dimension, or reconstructing the story.
  • State a necessary scope boundary when omission would mislead.
  • Do not output reviewer attack lists, limitation inventories, internal audit labels, or self-weakening evaluations by default.

Keep method figures user-defined

Follow method-figure.md exactly. Do not supply an internal style, palette, layout, generator, prompt, or backend. Treat generation and LaTeX integration as separate tasks.

Use deterministic tools

Run scripts from scripts/ with --help first. Preserve source files and write generated outputs to user-selected paths. Use validate_skill.py only to validate a copy of this Skill; it is not a paper-quality gate.