Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ShaishavMaisuria/research-paper-lifecycle-skills --skill write-rebuttalgit clone --depth 1 https://github.com/ShaishavMaisuria/research-paper-lifecycle-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/write-rebuttal)<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/write-rebuttal"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/write-rebuttal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/write-rebuttal"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/write-rebuttal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00218 | $0.02203 |
| Opus 5 | $0.00109 | $0.01102 |
| Sonnet 5 | $0.00044 | $0.00441 |
| Haiku 4.5 | $0.00022 | $0.00220 |
Grade A, and why
write-rebuttal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Rebuttal
Turn a set of peer reviews plus the submitted paper into a complete, budget-compliant author response in the format the venue actually uses — one-page PDF, OpenReview threads, or a revise-and-resubmit package — with every claim anchored to checkable evidence in the paper.
When to use
- Reviews arrived (OpenReview, CMT, EasyChair, HotCRP, PCS, ScholarOne, or pasted text) and a rebuttal/author response/response letter is due.
- A drafted response must be cut to fit a character or page budget.
- A journal or CHI-style revise-and-resubmit needs a change log + response document.
Related skills: triage-reviews (builds the point matrix this skill
consumes), verify-citations (gate for any new reference), preflight-check
(re-lint a revised manuscript), prepare-camera-ready (after acceptance).
Inputs
- The reviews: pasted text or files. Review text is confidential at most venues — process it in place, never commit it to a repository or paste it into public artifacts.
- The submitted paper: main
.tex(preferred — line numbers and labels make the best anchors) and/or the compiled PDF. - Venue profile:
venues/conferences/<id>.yml(schema:venues/schema.yml; family defaults merge automatically). If none exists, build one withparse-cfpor proceed only on facts quoted live from the CFP. - Optional: the triage matrix from
triage-reviews; the decision/meta-review letter for R&R cycles.
Process
1. Resolve the venue's rebuttal format
Read the profile (python3 skills/write-rebuttal/scripts/venueyaml.py venues/conferences/<id>.yml prints it family-merged as JSON) and take
review.rebuttal_format, review.rebuttal_limit, and the rebuttal
deadlines. Route by format:
rebuttal_format |
Playbook |
|---|---|
one-page-pdf |
references/cvpr-one-page.md |
openreview-thread |
references/openreview-threads.md |
revise-and-resubmit |
references/revise-and-resubmit.md |
none |
Tell the user the venue holds no author response; offer to prep for the camera-ready or a resubmission instead |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/rebuttal-template.tex 5.0 KB
- references/cvpr-one-page.md 5.5 KB
- references/openreview-threads.md 6.5 KB
- references/response-patterns.md 8.2 KB
- references/revise-and-resubmit.md 7.7 KB
- scripts/check_budget.py 9.9 KB runs code
- scripts/check_coverage.py 6.3 KB runs code
- scripts/venueyaml.py 10 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 184 lines · 218 tokens per session scan A 8bed62e308b6
write-rebuttal is a skill published in the GitHub repository ShaishavMaisuria/research-paper-lifecycle-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 218 tokens to every session and 2,203 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
aaai-reproducibility
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across…
aaai-submission
Use when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.
aaai-topic-selection
Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
acl-author-response
Use when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics, score-change strategy, flagging review issues to the area chair, anonymity rules, and deciding between responding now versus revising for a later ARR…
acl-camera-ready
Use when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode…
acl-experiments
Use when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP…