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alphaxiv

Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.

73

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A well-structured, highly actionable skill body with a clear tiered workflow and validation checkpoints. Its main weakness is mild verbosity in the positioning and integration sections that assumes less of Claude's intelligence than the rubric rewards.

Suggestions

Tighten the Role & Positioning table and Integration sections — the cross-skill distinctions and /research-lit enrichment flow are context Claude can infer, and trimming them improves token efficiency.

Consider moving the research-wiki ingest bash block (Step 6) into a referenced script if it grows further, keeping SKILL.md focused on the lookup workflow.

The Key Rules section partially restates guidance already embedded in the workflow steps; consolidate to avoid repetition.

DimensionReasoningScore

Conciseness

Mostly efficient with executable curl commands and tight step descriptions, but the Role & Positioning table and Integration sections add context Claude could largely infer; could be trimmed without losing clarity.

2 / 3

Actionability

Provides concrete executable curl commands with exact URL templates, explicit directives, and a copy-paste-ready wiki-ingest bash block — fully actionable guidance.

3 / 3

Workflow Clarity

A clear 6-step sequence with tiered fallback (overview → abs → src) and explicit validation/recovery checkpoints (403/404 → escalate, 429 → wait 5s and retry once).

3 / 3

Progressive Disclosure

Well-organized into focused sections with one-level-deep signaling; no bundle files present, and the single external reference to integration-contract.md is clearly labeled.

3 / 3

Total

11

/

12

Passed

Description

100%

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, well-constructed description that pairs concrete capabilities with explicit natural-language triggers and a clear negative boundary. It is concise and highly distinguishable from sibling skills.

DimensionReasoningScore

Specificity

Names concrete actions and mechanism: "Quick single-paper lookup", "LLM-optimized summaries", "tiered source fallback" — multiple specific capabilities rather than vague language.

3 / 3

Completeness

Explicitly answers both what (single-paper lookup with tiered summaries) and when ("Use when user says...") with explicit trigger guidance.

3 / 3

Trigger Term Quality

Covers natural phrases users would say: "explain this paper", "summarize paper", pasting an arXiv/AlphaXiv URL, or a bare arXiv ID — good natural-term coverage.

3 / 3

Distinctiveness Conflict Risk

Clear niche (AlphaXiv single-paper summaries) with an explicit exclusion ("not for broad literature search") reducing conflict with /arxiv or /research-lit.

3 / 3

Total

12

/

12

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 suspicious

Warning

Total

13

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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