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daily-papers-review

Review fetched papers and write evidence-based recommendations with reading priorities. English triggers: "review fetched papers", "generate paper recommendations". This is pipeline stage 2. 论文点评(3 步流水线的第 2 步)。读取富化后的论文数据,扫描笔记库,生成有态度的推荐点评, 保存推荐文件到 Obsidian,更新 history;git 自动化默认关闭。 触发词:"论文点评"、"跑一下论文点评"

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

88%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-engineered agent-workflow skill: fully actionable commands and templates, an explicitly sequenced pipeline with genuine validation and recovery loops, and efficient token use. The main structural improvement would be moving the output-format templates to a reference file. Weighted 4.55/5.

DimensionReasoningScore

Conciseness

The body is dense operational instruction with essentially no padding or explanation of concepts Claude already knows; every section (persona rules, format templates, history logic, git gating) carries operational weight. Minor trims exist — the enriched-file prerequisite is stated twice (前置检查 and 注意事项) and the emoji legend is slightly verbose — fitting the 4 anchor (efficient, minor instances that could be trimmed) rather than the 5 anchor's every-token-earns-its-place bar.

4 / 5

Actionability

Guidance is fully executable: exact commands ("python3 ../_shared/user_config.py", the copy-paste git add/commit line), explicit variable definitions and path derivations, complete markdown output templates for both existing-note and full formats, exact YAML frontmatter, and concrete matching/dedup rules. Matches the 5 anchor (copy-paste ready, covers common cases); no significant gaps justify 4.

5 / 5

Workflow Clarity

The sequence is explicit (Step 0 config → precondition check → Phase 4 scan → Phase 5 critique → Phase 6 save) with real validation checkpoints: the enriched-file precondition, the numbered 完整性校验 with count arithmetic and an explicit recovery loop ("如果不匹配,重新扫描推荐文件补全缺失的条目"), and staged-changes verification before commit. This matches the 5 anchor (explicit validation, feedback loops) rather than 4.

5 / 5

Progressive Disclosure

Structure is good: clear section hierarchy, and clearly signaled one-level-deep references ([language.md], [SKILL.en.md], [agent-runtime.md], user_config.py) with no nested-reference chains. However, the ~90 lines of output-format templates and persona/tone rules are inlined in SKILL.md and could reasonably live in a reference file, so it fits the 4 anchor (good structure, minor organization gaps) rather than the 5 anchor's clean overview-plus-references split.

4 / 5

Total

18

/

20

Passed

Description

88%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 bilingual description that explicitly states capabilities, trigger phrases in both English and Chinese, and its position in a 3-stage pipeline. The only gap is a few missing natural trigger synonyms. Weighted 4.55/5.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions in both languages — "Review fetched papers and write evidence-based recommendations with reading priorities", "读取富化后的论文数据,扫描笔记库,生成有态度的推荐点评,保存推荐文件到 Obsidian,更新 history" — covering read, scan, generate, save, and history update comprehensively, all in third person. It clearly matches the 5 anchor (multiple specific concrete actions, comprehensive) rather than 4, since no meaningful action in the skill's scope is omitted.

5 / 5

Completeness

Both what and when are explicitly answered: the English and Chinese sentences state the capability, and dedicated trigger clauses ("English triggers: 'review fetched papers', 'generate paper recommendations'" and "触发词:'论文点评'、'跑一下论文点评'") give concrete trigger phrases. This matches the 5 anchor exactly; the 'when' is fully explicit, so it exceeds the 4 anchor's 'could be more explicit'.

5 / 5

Trigger Term Quality

Triggers are natural user phrases in both languages ("review fetched papers", "generate paper recommendations", "论文点评", "跑一下论文点评"), which is good coverage but misses common variations such as "论文推荐" (the name the skill itself uses for its output files) and "paper review". Fits the 4 anchor (good coverage, a few natural terms missing) rather than 5, and coverage is clearly stronger than the 3 anchor's partial keyword set.

4 / 5

Distinctiveness Conflict Risk

The explicit pipeline positioning ("This is pipeline stage 2" / "3 步流水线的第 2 步") and niche triggers make it mostly distinct from sibling stages (fetching, note-writing). Minor overlap risk remains with a generic "recommend papers" request, fitting the 4 anchor (mostly distinct, minor overlap with closely related skills) rather than the 5 anchor's minimal-conflict bar.

4 / 5

Total

18

/

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

relative_links

Relative link issues: 2 missing, 2 suspicious

Warning

Total

15

/

16

Passed

Repository

huangkiki/dailypaper-skills

Path

skills/daily-papers-review/SKILL.md

Reviewed

Table of Contents

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