nature-experiment-log

标准化实验日志记录——接收原始材料（图/语音/文字），产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。

Quality

71%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/nature-experiment-log/SKILL.md

Quality

Content

85%

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

The content is well-structured and highly actionable, with a clear sequenced workflow, concrete commands, and properly organized reference examples. The only meaningful weakness is the unnecessary Obsidian background explanation that pads the token budget.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean and operational, but the "Obsidian 集成" section explains what Obsidian is ("Obsidian 是一个基于本地 Markdown 文件的笔记系统…") — concept background Claude largely already knows.	2 / 3
Actionability	Provides exact vault paths, ID/batch-ID format specs, a device-code table, and copy-paste-ready Feishu CLI commands (e.g. "lark-cli im +chat-messages-list …") with a specific relative-path warning.	3 / 3
Workflow Clarity	An explicit 8-step numbered sequence includes a validation checkpoint (step 6 anomaly check) and the rule "模糊信息…主动询问，不猜测写入", so the vault-writing batch operation is not missing validation.	3 / 3
Progressive Disclosure	SKILL.md serves as an overview pointing to a clearly signaled, one-level-deep references/ table; the three referenced example files exist and are accurately described, with content appropriately split.	3 / 3
	Total	11 / 12 Passed

Description

57%

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 concretely states the skill's purpose and occupies a distinct niche, but lacks an explicit trigger clause and leans on jargon over natural user phrasing. Adding a "Use when…" clause with everyday terms would lift completeness and trigger-term quality.

Suggestions

Append an explicit trigger clause, e.g. "Use when recording or standardizing experiment logs, logging lab results, or archiving raw experiment materials into Obsidian."

Soften jargon by adding plain-language variations users would say (e.g. "实验记录", "写实验日志", "lab notes") alongside technical terms.

Broaden the action list to name the full pipeline (analyze images, generate experiment/sample IDs, detect anomalies, archive raw materials) for higher specificity.

Dimension	Reasoning	Score
Specificity	Names the domain and two concrete actions ("接收原始材料", "产出...标准日志"), but the action list is not comprehensive — it omits vision analysis, ID generation, anomaly checks, and archiving.	2 / 3
Completeness	Clearly states what the skill does, but provides no explicit "Use when…" trigger clause, which caps completeness at 2 per the rubric guidelines.	2 / 3
Trigger Term Quality	Contains relevant terms ("实验日志", "Obsidian", "飞书") but is jargon-heavy (YAML frontmatter, vault) and missing common natural-language variations a user would actually say.	2 / 3
Distinctiveness Conflict Risk	Targets a clear niche (experiment-log standardization for Obsidian via Feishu CLI) with distinct triggers unlikely to fire for unrelated skills.	3 / 3
	Total	9 / 12 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: Yuan1z0825/nature-skills
Path: skills/nature-experiment-log/SKILL.md
Commit: 703c150

Reviewed: 4 days ago

Table of Contents

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