academic-rebuttal SKILL.md skillA

academic-rebuttal from pengqianhan/ai-human-research-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pengqianhan/ai-human-research-os/academic-rebuttal@git:20260716.d802ea9

Pins git:20260716.d802ea9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pengqianhan/ai-human-research-os
Path
research-skills-hub/collected-skills/academic-rebuttal/SKILL.md
Versions recorded
1
Latest version
git:20260716.d802ea9, committed Jul 16, 2026
Size
37,009 bytes
Repository stars
3
License
MIT

Two-stage academic rebuttal assistant. Given the paper abstract, reviewer comments, scores, confidences, and venue constraints, first diagnose the underlying concerns, assess whether rebuttal is worth the limited author time, and produce a prioritized experiment-and-analysis plan. After the author provides completed results, produce an evidence-grounded rebuttal, revision plan, or resubmission plan. Never fabricate results, reviewer intent, citations, or manuscript locations.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Academic Rebuttal Skill

## Purpose

Help authors make the best use of a short rebuttal period.

This skill is intentionally **two-stage**:

1. **Triage and experiment planning**
   - Read the abstract, reviews, and scores.
   - Infer the underlying reason behind each review comment.
   - Surface uncertain interpretations to the author.
   - Assess rebuttal viability.
   - Rank the experiments, analyses, and clarifications that are most likely to
     change the decision.

2. **Rebuttal drafting**
   - Run only after the author provides completed results, verified manuscript
     evidence, or explicitly confirms that no additional experiment will be run.
   - Write a concise rebuttal using **Direct Answer → Evidence → Revision**.
   - Keep all claims grounded in supplied evidence.

The goal is not to answer every sentence equally. The goal is to resolve the few
decision-critical doubts that determine acceptance.

---

## Minimum Inputs

The minimum useful input for Stage 1 is:

- paper title, optional;
- paper abstract;
- all review texts;
- reviewer scores;
- reviewer confidence scores, when available;
- venue and score scale, when known;
- rebuttal deadline or remaining time;
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pengqianhan/ai-human-research-os/academic-rebuttal@sha256:3e03c2965060afe2

The line at the top of this page pins the label git:20260716.d802ea9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_kb367qevgolgrb3v.svg)](https://markdownregistry.com/a/art_kb367qevgolgrb3v)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 16, 2026.

versioncommittedcommitsizeaudit
git:20260716.d802ea9 latest2026-07-16 d802ea9 37,009 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (37009 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

pengqianhan/ai-human-research-os · 3 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kb367qevgolgrb3v
GET https://markdownregistry.com/api/v1/resolve?ref=pengqianhan/ai-human-research-os/academic-rebuttal
GET https://markdownregistry.com/api/v1/blob/3e03c2965060afe253c8cf68ded61a97efdb81308e507ddb42a085012ad20fcc

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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