CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

inno-rebuttal

Drafting and refining academic rebuttals for top-tier AI/CS conferences (NeurIPS, ICML, ICLR, CVPR, ECCV, AAAI, ARR, KDD, UAI, AISTATS, TMLR, etc.). Use this skill whenever the user needs to respond to reviewer comments, write a rebuttal, handle reviewer feedback, clarify technical misunderstandings, present additional experimental results, or deal with borderline accept/reject decisions. Also trigger when the user mentions keywords like "rebuttal", "reviewer", "review response", "author response", "camera-ready", "rebut", "AC", "area chair", "meta-review", or discusses conference review scores. Trigger for Chinese-language requests too, e.g. "写rebuttal", "回复审稿人", "审稿意见", "rebuttal怎么写", "reviewer说我的baseline不够".

Quality

91%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is an exemplary structured workflow: sequenced stages, mandatory validation gates, actionable templates, and a clean one-level-deep bundle layout. Its one real weakness is token efficiency — tone and pitfall guidance is repeated across four sections that largely restate each other and the reference files.

Suggestions

Consolidate the tone guidance currently spread across 'Key Principles' (Stage 2), 'Tone and Language Guidelines', 'Common Rebuttal Pitfalls', and the 'Final Checklist' into a single section, moving the recommended/avoided phrase lists fully into references/writing_principles.md with a one-line pointer.

Trim the 'Final Checklist' to items not already enforced by the Stage 5 safety gates (provenance, commitment, coverage, tone, limits are each checked twice), keeping only the genuinely additional checks such as dual-output production and AC readability.

The 'Example of a good response' block with the full results table duplicates the worked examples in references/response_strategies.md; replace it with a one-line pointer to preserve the strategy rationale without the inline copy.

DimensionReasoningScore

Conciseness

The body is mostly efficient — tables, gates, and worked examples earn their tokens — but tone/strategy guidance is restated four times across 'Key Principles', 'Tone and Language Guidelines', 'Common Rebuttal Pitfalls', and the 'Final Checklist', duplicating material already delegated to references/writing_principles.md and references/response_strategies.md. This is more than the 'minor instances' of the level-4 anchor, though no space is wasted explaining concepts Claude already knows.

3 / 5

Actionability

For an instruction-only skill the guidance is fully actionable: a severity table with definitions, a strategy table with when-to-use examples, compound-strategy sample sentences, a concrete ICML budget split (~600/~4000/~400 chars), an executable script invocation (`scripts/count_limits.sh <file> [--chars|--words]`), and good/bad response exemplars with real numbers. The scoring note's instruction-skill exception applies and the guidance meets the top anchor.

5 / 5

Workflow Clarity

Six clearly sequenced stages with explicit early-exit conditions ("If the user requested only analysis, stop here"), three mandatory safety gates with failure handling ("If any gate fails, fix the issue before proceeding"), issue-board status tracking that must reach done before finalizing, gates re-run per follow-up round, and a final checklist. This matches the top anchor: clear sequence, explicit validation, feedback loops, and checklists.

5 / 5

Progressive Disclosure

The body acts as an overview routing to five real, one-level-deep reference files (verified present: venue_rule_matrix.md, writing_principles.md, issue_board_guide.md, response_strategies.md, platforms_and_policies.md) plus scripts/count_limits.sh, each signposted inline at point of use and again in the Resources section, with no nested references inside the reference files. Matches the 'clear overview with well-signaled one-level-deep references' anchor.

5 / 5

Total

18

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that clearly states what the skill does and when to use it, with an unusually thorough set of trigger keywords including non-English variants. The only gap is that it undersells some capabilities the body actually delivers (analysis, planning, venue routing).

DimensionReasoningScore

Specificity

The description lists several concrete actions ("Drafting and refining academic rebuttals", "clarify technical misunderstandings", "present additional experimental results", "deal with borderline accept/reject decisions") but omits capabilities the skill actually has, such as review analysis, task-list synthesis, and venue-specific routing. It matches the 'several specific actions; minor gaps in coverage' anchor rather than the comprehensive anchor above it.

4 / 5

Completeness

It explicitly answers both 'what' ("Drafting and refining academic rebuttals for top-tier AI/CS conferences") and 'when' ("Use this skill whenever the user needs to respond to reviewer comments, write a rebuttal, handle reviewer feedback...") with concrete trigger phrases, matching the top anchor exactly.

5 / 5

Trigger Term Quality

Trigger coverage is comprehensive and includes natural synonyms users would actually say: "rebuttal", "reviewer", "review response", "author response", "camera-ready", "rebut", "AC", "area chair", "meta-review", "conference review scores", plus Chinese-language variants like "写rebuttal" and "审稿意见". This matches the 'comprehensive coverage of natural terms including synonyms' anchor; nothing common is missing.

5 / 5

Distinctiveness Conflict Risk

The niche is clear (academic conference rebuttals) with distinct, domain-specific triggers (venue names, AC/meta-review, review scores) that are unlikely to fire for unrelated skills. Minimal conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

OpenLAIR/dr-claw

Path

skills/inno-rebuttal/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.