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enterprise-workflow

企业 IM 工作流自动化:文档、表格、待办/任务、会议/日程一键创建。 Use when: operator要求创建企微/飞书的文档/表格/待办/会议/日程/幻灯片,或"一句话生成完整工作流"。 Not for: 普通聊天、消息收发(那是 F088 Transport Plane 的活)。 Output: 资源链接(文档 URL、企微会议链接、日程 summary 等)通过 callback 返回。

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-3

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

The body is concise and highly actionable with concrete callback payloads, but workflow clarity and progressive disclosure are held back by the absence of validation/feedback checkpoints for batch operations and the lack of any referenced detail files. Splitting per-action references into separate files and adding explicit verify-after-callback steps would lift both.

Suggestions

Add an explicit validation/retry checkpoint after each callback (e.g. check the returned link/error code, and on 502/503 fix and retry) so batch operations have a feedback loop.

Move the per-action JSON examples and error-code table into separate referenced files (e.g. references/wecom-actions.md, references/lark-actions.md) and keep SKILL.md as a concise overview pointing to them.

Surface a short numbered golden_chain workflow (select platform → build payload → POST callback → verify response → format reply) so the multi-step sequence and its checkpoints are explicit.

DimensionReasoningScore

Conciseness

Lean tables and per-action JSON payloads with no explanatory padding about concepts Claude already knows; every section earns its tokens. It is not the level-2 case because there is no unnecessary justification prose.

3 / 3

Actionability

Provides the exact callback route, content-type, and complete copy-paste JSON payloads per action with real field names (e.g. assigneeOpenId, calendarStart, FIELD_TYPE_SINGLE_SELECT), matching the fully-executable anchor.

3 / 3

Workflow Clarity

The golden_chain flow is sequenced (select platform → callback → format reply) but for batch operations like creating docs/todos/meetings there are no explicit validation checkpoints or error-recovery feedback loops; only error codes are listed at the end. Per the rubric, missing validation in batch operations caps this at 2 rather than 3.

2 / 3

Progressive Disclosure

No bundle files exist and none are referenced; all per-action API detail lives inline in a single ~230-line file rather than being split into signaled one-level-deep references. Structure exists (sections/tables) but content that could be separate remains inline, matching the level 2 anchor.

2 / 3

Total

10

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12

Passed

Description

100%Weight 40%Scale 1-3

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 is specific, trigger-rich, and complete with explicit use/boundary/output guidance and a strong trigger list, giving it a clear distinct niche. It is among the strongest descriptions on every dimension.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across resource types ('文档、表格、待办/任务、会议/日程一键创建'), matching the 'multiple specific concrete actions' anchor rather than the partial level 2.

3 / 3

Completeness

Explicitly answers both 'what' (一键创建文档/表格/待办/任务/会议/日程/幻灯片) and 'when' ('Use when: operator要求创建...'), plus 'Not for' boundaries and an 'Output' spec, matching the level 3 anchor with explicit triggers.

3 / 3

Trigger Term Quality

The triggers array gives broad natural coverage users would actually say (创建文档, 写个文档, create doc, 建个表格, 约个会, todo, task, slides, deck, golden chain, 工作流, 飞书, lark, 企微), including common variations in both languages.

3 / 3

Distinctiveness Conflict Risk

Niche is clearly enterprise IM workflow creation via WeCom/Lark CLIs, with an explicit 'Not for' exclusion of plain chat/messaging, making conflict with adjacent skills unlikely.

3 / 3

Total

12

/

12

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.

Validation15 / 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
zts212653/clowder-ai
Reviewed

Table of Contents

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