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nature-literature-pipeline

Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.

56

Quality

65%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/nature-literature-pipeline/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 well-structured and concise, with a clear sequenced pipeline and good progressive disclosure to verified reference files. Its main weakness is actionability, since core execution details rely on reference files and a missing template rather than inline executable steps.

Suggestions

Add a small inline executable example or minimal config snippet in Quick Start so the skill is usable without first opening every reference file.

Either add the referenced 'templates/literature-push-template.md' to the bundle or remove the dangling reference to avoid a broken navigation pointer.

Include an explicit validate→fix→retry loop in the body for the score-arithmetic and delivery steps to strengthen workflow clarity.

DimensionReasoningScore

Conciseness

The body is largely lean, using an ASCII diagram, tables, and bullets without explaining concepts Claude already knows, though a few editorializing sentences ('Not just search for papers...') could be trimmed.

4 / 5

Actionability

Quick Start gives concrete user prompts and a cron example, but pipeline internals lack copy-paste code or commands, and key steps defer to reference files and a missing config template rather than directly executable guidance.

3 / 5

Workflow Clarity

The five-stage SEARCH→FILTER→READ→DELIVER→ARCHIVE sequence is clearly laid out with validation safeguards (score validation, triple de-dup, graceful degradation), though explicit validate→fix→retry feedback loops are not detailed in the body.

4 / 5

Progressive Disclosure

The body is a clear one-level-deep overview pointing to six real reference files via well-signaled tables, but it also references a non-existent 'templates/literature-push-template.md', leaving a minor organization gap.

4 / 5

Total

15

/

20

Passed

Description

63%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.

The description conveys a comprehensive, specific picture of the pipeline's capabilities in third person, but lacks an explicit 'Use when...' trigger clause, which limits completeness and trigger-term quality. It is reasonably distinctive within its niche.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger phrases (e.g., 'Use when setting up a daily literature push, automated paper discovery, or recurring research feed delivery').

Include common synonyms and concrete terms users actually say (e.g., 'paper search', 'research digest', 'arXiv/OpenAlex monitoring') to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete pipeline stages — 'multi-source search', 'six-dimension scoring', 'fine reading', 'formatted delivery', 'archival' — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

The 'what' is clearly described across five pipeline stages, but there is no 'Use when...' clause or equivalent explicit trigger guidance, capping completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Some relevant keywords ('literature discovery', 'cron-driven', 'Feishu, Telegram') are present, but common natural phrases users would say and synonyms ('paper search', 'research feed') are missing.

3 / 5

Distinctiveness Conflict Risk

The daily automated literature-pipeline niche with six-dimension scoring is mostly distinct, with only minor overlap risk against sibling search skills like nature-academic-search and arxiv.

4 / 5

Total

15

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
Yuan1z0825/nature-skills
Reviewed

Table of Contents

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