Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/JeanDiable/academic-research-pluginnpx agentmods add skills/jeandiable/academic-research-plugin/rebuttalWrote 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/jeandiable/academic-research-plugin/rebuttal)<a href="https://agentmods.dev/skills/jeandiable/academic-research-plugin/rebuttal"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/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/jeandiable/academic-research-plugin/rebuttal"><img src="https://agentmods.dev/badge/skills/jeandiable/academic-research-plugin/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 | $0.00087 | $0.04907 |
| Opus 5 | $0.00044 | $0.02454 |
| Sonnet 5 | $0.00017 | $0.00981 |
| Haiku 4.5 | $0.00009 | $0.00491 |
Grade A, and why
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 — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Prepare a grounded, venue-compliant rebuttal for conference paper reviewer feedback. The skill follows a 3-phase pipeline:
- Review Analysis — Parse reviews, atomize concerns, classify severity/type, identify shared themes
- Strategy Plan — Per-reviewer response strategy with attitude, angle, evidence mapping, and experiment gap report
- Draft & Validate — Write rebuttal with placeholders for pending experiments, run lints and stress test, produce paste-ready output
The skill writes all rebuttal prose except experiment results. For issues requiring new experiments, it writes the surrounding context and inserts [INSERT: ...] placeholders where results should go.
Arguments
<paper-path> (required)
Path to the submitted paper. Can be:
- A PDF file (absolute or relative path)
- A LaTeX project directory (will look for
main.texor first.texfile)
<reviews-path> (required)
Path to a markdown file containing reviews copied from OpenReview/CMT/HotCRP. Reviewer IDs should be preserved (e.g., ## Reviewer 1, ## Reviewer #2, ## R3).
--venue (optional)
Target conference. Options: NeurIPS, ICML, CVPR, ACL, AAAI, ICCV, ICLR.
- Default: auto-detect from review format and scoring scale
- Fallback: generic format
- Determines character limits, response structure, and review parsing heuristics
--char-limit (optional, default: venue-specific or 5000)
Character limit for the rebuttal. Overrides venue default. This is the total limit across all reviewer responses.
--plan-only (optional)
Stop after Phase 2. Outputs ISSUE_BOARD.md + STRATEGY_PLAN.md + EXPERIMENT_GAPS.md without drafting the rebuttal. Useful for reviewing the strategy before committing to a draft.
--followup (optional)
Follow-up round mode. Expects an existing output directory from a prior run. Parses new reviewer comments and generates delta replies only.
Setup
Install dependencies:
python -m pip install -r "BASE_DIR/scripts/requirements.txt"
What ships with it
4 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.
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 · 423 lines · 87 tokens per session scan A ebcf6d498277
rebuttal is a skill published in the GitHub repository JeanDiable/academic-research-plugin (23 stars, last pushed 5mo ago), licensed MIT. It adds 87 tokens to every session and 4,907 once invoked, about $0.0004 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.
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