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daily-paper-generator

Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.

65

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/daily-paper-generator/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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.

A well-structured, efficient skill body with an executable search example verified against the bundled script and a clearly staged selection workflow. Main weaknesses are the missing output-example file referenced in Additional Resources, the absence of any validation/verification checkpoint, and minor duplication of the source options.

Suggestions

Fix the dangling reference: either add 'example/daily paper example.md' to the bundle or remove it from Additional Resources, since it is the only concrete exemplar of the required output format.

Add a verification checkpoint to the workflow (e.g., confirm retrieved papers fall within the --months window and links resolve before final Top 1 selection) and a quick post-save check that output files were written under daily paper/.

Deduplicate the --source semantics (drop the Overview 'Supported sources' list or the Step 2 'Notes' since both explain arxiv/biorxiv/both) to tighten token usage.

DimensionReasoningScore

Conciseness

The body is lean — table-driven Quick Reference, terse numbered steps, one code block, no explanation of concepts Claude already knows — matching 'efficient; minor instances of over-explanation that could be trimmed'. Not a 5 because the --source semantics appear twice in full (Overview 'Supported sources' list plus Step 2 'Notes') and the 'When to Use' section restates the frontmatter description.

4 / 5

Actionability

The search step is copy-paste ready (the script's actual argparse flags match the example exactly: --query/--source/--months/--max-results/--output), the naming scheme and output format list are concrete. Not a 5 because Step 6 ('English Review: concise, factual, non-formulaic') and the Output Format section lack a concrete template/example, and the referenced output example file 'example/daily paper example.md' does not exist in the bundle.

4 / 5

Workflow Clarity

A clearly sequenced 7-step workflow with an explicit narrowing rule ('Top 10 -> Top 3 -> Top 1'), a minimum rule guarding against skipping stages, and a required output trace — matching 'clear sequence with most checkpoints present'. Not a 5 because there are no explicit validation/verification steps (e.g., confirm papers fall within --months window, verify links resolve, confirm output files written) and no error-recovery guidance.

4 / 5

Progressive Disclosure

Scored against the actual bundle: SKILL.md is a concise overview, the Quick Reference table maps each task to a real file (references/keywords.md, quality-criteria.md, writing-style.md all exist), and Additional Resources signals each reference one level deep. Not a 5 because the listed reference 'example/daily paper example.md' does not exist in the bundle — a dangling navigation pointer — and the script path in Step 2 uses an inconsistent form ('skills/daily-paper-generator/scripts/...') versus the Quick Reference's 'scripts/arxiv_search.py'.

4 / 5

Total

16

/

20

Passed

Description

83%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 with an explicit 'Use when...' trigger, concrete named sources, and a clear statement of output (bilingual structured summaries). Minor gaps: missing common synonym phrasings users might say and no mention of the selection/scoring pipeline or output location.

DimensionReasoningScore

Specificity

Quotes several concrete actions — 'generate daily paper digests', 'supports both arXiv and bioRxiv (or either one)', 'produces structured Chinese/English summaries for selected papers' — matching the anchor 'lists several specific actions; minor gaps in coverage'. Not a 5 because it omits parts of the pipeline (search, scoring/selection, output location), and not a 3 because more than 1-2 concrete actions are named.

4 / 5

Completeness

Both 'what' ('produces structured Chinese/English summaries for selected papers' with named sources) and 'when' ('Use when the user asks to generate daily paper digests on a general topic') are explicitly and concretely stated, matching the 5 anchor with a concrete trigger phrase. The 4 anchor ('when could be more explicit or specific') fits worse because the when-clause names the exact triggering request and scope.

5 / 5

Trigger Term Quality

Natural terms users would say are present: 'daily paper digests', 'arXiv', 'bioRxiv', 'summaries', 'papers'. Falls short of the 5 anchor ('comprehensive coverage including synonyms and variations') because common phrasings like 'paper roundup', 'literature digest', 'recent papers', or 'research digest' are missing; exceeds the 3 anchor since the core source names are exactly what users would mention.

4 / 5

Distinctiveness Conflict Risk

A clear niche (paper digests from arXiv/bioRxiv with bilingual output) with distinct source-specific triggers, matching 'mostly distinct; minor overlap risk with closely related skills'. Not 5 because it could overlap with generic literature-search or summarization skills triggered by 'summarize papers'; not 3 because the arXiv/bioRxiv + digest combination is well differentiated.

4 / 5

Total

17

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
Galaxy-Dawn/claude-scholar
Reviewed

Table of Contents

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