rebuttal SKILL.md skillA
rebuttal from fcakyon/labrat is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fcakyon/labrat/rebuttal@git:20261030.b34f8aaPins git:20261030.b34f8aa in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fcakyon/labrat
- Path
plugin/skills/rebuttal/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261030.b34f8aa, committed Oct 30, 2026
- First version recorded
- Oct 30, 2026
- Size
- 5,113 bytes
- Repository stars
- 452
- License
- MIT
Prepare a paper for peer review. Reads the paper and experiment results, selects the strongest ablations, anticipates reviewer questions, finds weaknesses before submission, and drafts rebuttals to actual reviews. Use when the user asks about "reviewer questions", "anticipate reviewers", "rebuttal", "paper weaknesses", "defend the paper", "strengthen the paper", "select the strongest ablations", "fortify the paper", or "prepare for peer review".
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
# Rebuttal: Prepare for Peer Review Venue: $ARGUMENTS ## Step 1: Read the Paper and Results Discover the paper, result and config files as in Step 1 (Discover Files) of `/labrat:paper-check`, including wandb logs and checkpoint directories. Then list the paper's claims (contributions and experiments), its metrics and baselines, and every available run and its outcome, including the ablation variants the configs define. ## Step 2: Vulnerability Analysis Identify weaknesses from a reviewer's perspective: ### Technical Weaknesses - Missing baselines that reviewers would expect - Evaluation metrics that don't fully capture the contribution - Assumptions stated without justification - Scalability or generalization concerns not addressed - Missing error analysis or failure case discussion ### Presentation Weaknesses - Claims stronger than evidence supports - Missing related work that a reviewer in the area would know - Unclear methodology (could someone reimplement from the paper alone?) - Figures that don't clearly convey the intended message - Inconsistencies between sections ### Experimental Weaknesses - Small dataset size without justification …
Read the whole file at its exact version.
How to install
mdr add fcakyon/labrat/rebuttal@sha256:cb4845bd2010cdf4The line at the top of this page pins the label git:20261030.b34f8aa, 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.
[](https://markdownregistry.com/a/art_oqqnzggjbdqi6idq)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Oct 30, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261030.b34f8aa latest | 2026-10-30 | b34f8aa | 5,113 B | A | view · diff |
| git:20261030.3dd54cf | 2026-10-30 | 3dd54cf | 5,121 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5113 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
fcakyon/labrat · 452 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oqqnzggjbdqi6idq GET https://markdownregistry.com/api/v1/resolve?ref=fcakyon/labrat/rebuttal GET https://markdownregistry.com/api/v1/blob/cb4845bd2010cdf4be4c07186ccdd32e24a12bd8649b259cb35ee6221ea3c390
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.