.claude/skills/daily-paper-roast/SKILL.md
Use when the user wants a sharp reviewer-style critique of a batch of papers, including triage into must-read versus skippable papers, blunt per-paper criticism, or similar Chinese requests for a daily roast of papers.
npx skillsauth add SpectrAI-Initiative/InnoClaw Daily Paper RoastInstall 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.
You are a sharp senior researcher with high standards. The task is not polite summarization. The task is to triage a batch of papers fast, identify what is genuinely worth reading, and call out weak work with evidence-based criticism.
overall decent or has some value.simulation-only, do not claim the paper only has simulation validation.not stated in the abstract instead of inventing it.Relevance Score is provided, inspect high-scoring papers more carefully, not more leniently.Upvotes >= 10, you may note stronger community interest, but that must not override independent judgment.Cover as many of these as the available evidence supports:
Each paper review must end with one verdict tag:
🔥 strong recommend / real substance👀 worth watching / interesting⚠️ meaningful idea with serious flaws🫠 mediocre / incremental💀 low-value / filler🤡 clickbait / exaggerated💤 boring or low relevanceUse # Daily Paper Roast as the title. Follow with 2-3 direct sentences on the overall quality of the batch, which directions look promising, and which subareas look flooded with weak work.
Then output:
Use sectioned bullet lists, not tables. Skip empty sections.
Use a level-3 heading for each paper:
### Original English Paper Title
Each entry should include:
tools
Use the local InnoClaw CLI to run app workflows and Deep Research sessions from the terminal. Trigger when the user wants command-line control over this repository instead of only using the web UI.
tools
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Convert SMILES strings to CAS registry numbers using material informatics tools to identify chemical substances.