skills/42-wanshuiyin-ARIS/skills/skills-codex/rebuttal/SKILL.md
Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research rebuttalInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Prepare and maintain a grounded, venue-compliant rebuttal for: $ARGUMENTS
This skill is optimized for:
This skill does not:
AUTO_EXPERIMENT = trueWorkflow 1: idea-discovery
Workflow 1.5: experiment-bridge
Workflow 2: auto-review-loop (pre-submission)
Workflow 3: paper-writing
Workflow 4: rebuttal (post-submission external reviews)
ICML — Default venueTEXT_ONLY — v1 defaultgpt-5.4 — Used via a secondary Codex agent for internal stress-testingtrue, invoke /experiment-bridge for reviewer concerns that require new evidencetrue, only run Phase 0-3 and stop after strategyrebuttal/Override:
/rebuttal "paper/" — venue: NeurIPS, character limit: 5000
If venue rules or limit are missing, stop and ask before drafting.
Three hard gates. If any fails, do not finalize:
rebuttal/REBUTTAL_STATE.md exists, resume from the recorded phaserebuttal/ and initialize the output documentsrebuttal/REVIEWS_RAW.md verbatimrebuttal/REBUTTAL_STATE.mdCreate rebuttal/ISSUE_BOARD.md.
For each atomic concern, record:
issue_idreviewer, round, raw_anchorissue_typeseverityreviewer_stanceresponse_modestatusCreate rebuttal/STRATEGY_PLAN.md.
QUICK_MODE exit: if QUICK_MODE = true, stop here and present ISSUE_BOARD.md + STRATEGY_PLAN.md.
Skip entirely if AUTO_EXPERIMENT is false.
If the strategy plan identifies issues that require new empirical evidence:
/experiment-bridge "rebuttal/REBUTTAL_EXPERIMENT_PLAN.md"ISSUE_BOARD.mdnarrow_concession or future_work_boundaryrebuttal/REBUTTAL_EXPERIMENTS.mdCreate rebuttal/REBUTTAL_DRAFT_v1.md.
Structure:
Also generate rebuttal/PASTE_READY.txt with exact character count.
Run all lints:
spawn_agent:
model: gpt-5.4
reasoning_effort: xhigh
message: |
Stress-test this rebuttal draft:
[raw reviews + issue board + draft + venue rules]
1. Unanswered or weakly answered concerns?
2. Unsupported factual statements?
3. Risky or unapproved promises?
4. Tone problems?
5. Paragraph most likely to backfire with a meta-reviewer?
6. Minimal grounded fixes only. Do not invent evidence.
Verdict: safe to submit / needs revision
Save the full response to rebuttal/MCP_STRESS_TEST.md. If a hard safety blocker remains, revise before finalizing.
Produce:
rebuttal/PASTE_READY.txt — strict version, ready to pasterebuttal/REBUTTAL_DRAFT_rich.md — extended version with optional sections markedrebuttal/REBUTTAL_STATE.mdWhen new reviewer comments arrive:
rebuttal/FOLLOWUP_LOG.mdsend_inputdevelopment
Conduct rigorous thematic analysis (TA) of qualitative data following Braun and Clarke's (2006) six-phase framework. Use whenever the user mentions 'thematic analysis', 'TA', 'Braun and Clarke', 'qualitative coding', 'identifying themes', or asks for help analysing interviews, focus groups, open-ended survey responses, or transcripts to identify patterns. Also trigger for questions about inductive vs theoretical coding, semantic vs latent themes, essentialist vs constructionist epistemology, building a thematic map, or writing up a qualitative findings section. Covers all six phases, the four upfront analytic decisions, the 15-point quality checklist, and the five common pitfalls. Produces a Word document write-up and an annotated thematic map. Does NOT cover IPA, grounded theory, discourse analysis, conversation analysis, or narrative analysis — use a different method for those.
development
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
testing
Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
data-ai
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.