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feishu-bitable

飞书多维表格(Bitable)的创建、查询、编辑和管理工具。包含 27 种字段类型支持、高级筛选、批量操作和视图管理。 **当以下情况时使用此 Skill**: (1) 需要创建或管理飞书多维表格 App (2) 需要在多维表格中新增、查询、修改、删除记录(行数据) (3) 需要管理字段(列)、视图、数据表 (4) 用户提到"多维表格"、"bitable"、"数据表"、"记录"、"字段" (5) 需要批量导入数据或批量更新多维表格

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A highly actionable, well-structured skill body with strong workflow sequencing, validation feedback loops, and clean progressive disclosure to verified reference files. The only notable weakness is repetition of the same value-format gotchas across multiple sections, which costs some token efficiency.

Suggestions

Consolidate the repeated value-format rules (personnel [{id:'ou_xxx'}], date milliseconds, single-select string vs multi-select array) into a single authoritative table and reference it elsewhere instead of restating in the pre-read, field-type table, forced-flow note, and scenario 2.

The pre-read checklist and the '强制流程' section overlap (both mandate calling field.list first and warn about value formats); merge them into one pre-write checklist to avoid redundancy.

Trim the repeated field-format summary that follows scenario 2, since the same formats already appear in the core field-type table above.

DimensionReasoningScore

Conciseness

The body is dense and mostly non-obvious API knowledge (error codes, value-format gotchas, limits, concurrency rules) with no filler concept explanations, but key facts are repeated several times — the personnel format [{id:'ou_xxx'}] and date/single-select/multi-select formats reappear across the pre-read, field table, forced-flow note, and scenario 2. It is not level 3 because that repetition is unnecessary padding; not level 1 because most tokens earn their place and it assumes Claude's competence.

2 / 3

Actionability

Provides concrete, copy-paste-ready JSON request examples (scenarios 1-3), an intent→tool→required-params index table, exact value formats, and error-code→root-cause→fix mappings with correct replacements. Not level 2 because the examples are executable and complete rather than pseudocode.

3 / 3

Workflow Clarity

Sequences work via the '强制流程' (list fields → build correct format → error-code check) and backs it with explicit validation/feedback loops: the error-code table maps failures to concrete fixes, and risky batch/destructive ops carry explicit checkpoints (batch ≤500, write-conflict 1254291 → serial calls + 0.5-1s delay, delete empty rows before insert). Not level 2 because validation steps and error-recovery loops are explicit rather than implicit.

3 / 3

Progressive Disclosure

SKILL.md is a clear overview pointing to three well-signaled, one-level-deep references (field-properties.md, record-values.md, examples.md), each annotated with a '何时查阅' trigger tied to specific error codes, and all three files exist. Not level 2 because references are clearly signaled, single-level, and content is appropriately split rather than inlined.

3 / 3

Total

11

/

12

Passed

Description

100%

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, third-person description that concretely states capabilities and provides an explicit, well-targeted 'use when' trigger list with natural user terms. No major weaknesses; voice and trigger guidance both conform to the rubric.

DimensionReasoningScore

Specificity

Names multiple concrete actions — '创建、查询、编辑和管理' plus '27 种字段类型支持、高级筛选、批量操作和视图管理' — and the numbered list enumerates specific capabilities (CRUD records, manage fields/views/tables, batch import/update). It is not level 2 because it lists far more than a domain plus 'some actions'.

3 / 3

Completeness

Answers both 'what' (creation/query/edit/management tool with field types, filtering, batch ops, views) and 'when' via the explicit '**当以下情况时使用此 Skill**' block with five numbered triggers. Not level 2 because the 'when' is explicit, not merely implied.

3 / 3

Trigger Term Quality

Clause (4) explicitly enumerates natural user-facing terms — '多维表格', 'bitable', '数据表', '记录', '字段' — covering both the Chinese product name and the English keyword. Not level 2 because it goes beyond a single relevant keyword to a broad set of terms users would actually say.

3 / 3

Distinctiveness Conflict Risk

Tightly scoped to Feishu Bitable (多维表格) with niche-specific trigger terms unlikely to fire for unrelated skills. Not level 2 because the product-specific framing and distinct triggers clearly separate it from generic data/document skills.

3 / 3

Total

12

/

12

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
op7418/CodePilot
Reviewed

Table of Contents

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