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novelty-check

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

64

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/skills-codex/novelty-check/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 body is concise, well-structured, and actionable with a clear phased workflow and report template. The main gaps are implicit validation checkpoints between phases and a referenced shared file that is not present in the bundle.

Suggestions

Add explicit validation/branching checkpoints between phases (e.g., "If no overlapping papers found for a claim, broaden queries before moving on" and "Confirm every core claim has been searched before writing the report") to lift workflow clarity.

Replace the pseudocode spawn_agent config block with a concrete, copy-pasteable invocation showing the actual call syntax and prompt arguments.

Either create the referenced ../shared-references/review-tracing.md or inline the tracing format so the skill is self-contained.

DimensionReasoningScore

Conciseness

Largely lean and efficient with no padded concept explanations; the Constants block and Phase A's explanatory bullets are slightly verbose but mostly earn their place.

4 / 5

Actionability

Provides concrete tool names (WebSearch, WebFetch, spawn_agent), specific query guidance, and a copy-ready report template, but the spawn_agent invocation is sketched as a config block rather than executable call syntax and venue checks are hints rather than commands.

4 / 5

Workflow Clarity

A clear four-phase sequence (A-D) is present, but validation checkpoints between phases are implicit or absent (e.g., no "if no overlapping papers found" branch, no coverage confirmation before reporting).

3 / 5

Progressive Disclosure

A single well-organized file under 90 lines with clear section headers and one clearly-signaled one-level reference (review-tracing.md); minor gap is that the referenced shared file does not actually exist in the bundle.

4 / 5

Total

15

/

20

Passed

Description

82%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: it states both the what and the when with concrete, multilingual trigger phrases and a clear niche. The only weakness is that the capability list is slightly under-enumerated relative to what the body actually does.

DimensionReasoningScore

Specificity

Names the domain and one concrete action ("Verify research idea novelty against recent literature") but does not enumerate the search, report, or scoring actions the body actually performs, so coverage is not comprehensive.

3 / 5

Completeness

Clearly states what the skill does (verify research idea novelty against recent literature) and explicitly states when to use it with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes several natural trigger phrases a user would actually say ("novelty check", "check novelty", "查新", "有没有人做过") plus a behavioral trigger, though a few common synonyms are absent.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (research novelty verification) with distinct, specific triggers that are unlikely to fire for the wrong skill.

5 / 5

Total

17

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

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

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