conference-rebuttal
v1.0.0Use when writing or planning rebuttals for peer-reviewed conference papers (ICML, NeurIPS, ICLR, CVPR, etc.).
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byZHOU PENGFEI@lancezpf
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (conference rebuttal help) match the SKILL.md. The skill is instruction-only and asks for no binaries, env vars, installs, or external services — all proportional to a writing/strategy guide.
Instruction Scope
SKILL.md contains detailed, actionable guidance and an agent workflow (analyze reviews, draft replies, compress to page limits). It suggests running supplemental experiments early, but it does not supply commands or request system access to run them — this is guidance for users/authors, not an automated experiment runner. The skill expects the user to provide review text and (potentially) paper excerpts, which is sensible but raises confidentiality considerations.
Install Mechanism
No install spec and no code files — lowest risk. Nothing will be written to disk or downloaded as part of the skill itself.
Credentials
Requires no environment variables, credentials, or config paths. The only implicit requirement is that the user supplies review content and possibly parts of the manuscript; that is a data-privacy concern rather than an overbroad credential request.
Persistence & Privilege
always is false and the skill does not request special privileges. disable-model-invocation is false (default) which is normal; autonomous invocation is allowed by platform defaults but the skill itself does not demand permanent presence or modify other skills.
Assessment
This skill is a coherent, instruction-only guide for drafting rebuttals and does not ask for credentials or install anything. Before using it, consider: (1) confidentiality — you will likely paste reviewer comments and unpublished manuscript text into the agent; avoid sharing full sensitive data if you need to keep IP private, or redact identifying details; (2) experimental claims — the guide recommends running supplemental experiments early, but the agent cannot run experiments for you; do not let the agent fabricate numbers or results — always verify any quantitative claims it produces; (3) autonomy — the skill can be invoked autonomously by the agent under normal platform defaults; if you prefer to control when the skill runs, restrict autonomous invocation in your agent settings; (4) verification — use the generated rebuttal as a draft to edit and verify references/line numbers and to ensure nothing misrepresents the paper. If you want the agent to run computations or access private datasets, expect to need additional tooling/credentials not provided by this skill.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.