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deprecate-workflow-node

当用户需要弃用一个工作流节点(保留向后兼容、隐藏出模板面板)时触发该 skill。FastGPT 工作流节点的弃用流程标准化封装,覆盖模板、Dispatcher、UI 引用等所有需要改动的位置。

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

83%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.

An excellent, actionable workflow document with concrete commands, paths, and explicit validation/anti-pattern loops. Its main weakness is progressive disclosure: all detail lives in one inline file with no reference bundle to offload the step-by-step diffs and reference tables.

Suggestions

Move the detailed per-step code diffs (steps 4–6) and the PluginStatusEnum reference table into a `references/steps.md` or `references/status-badge.md`, leaving SKILL.md as an overview that links one level deep.

Add a `scripts/` helper (e.g. a grep-based impact-scan script) for step 1 so the "确认影响面" action is runnable rather than hand-typed.

Trim the duplicated reasoning in the anti-pattern list since several items restate the 核心理念 table verbatim.

DimensionReasoningScore

Conciseness

Lean, expert-targeted content that assumes Claude's competence (no basic explanations of git/typescript); a few inline tables and repeated caveats could be trimmed slightly, but every section earns its place.

4 / 5

Actionability

Fully executable: concrete grep commands, exact source/target paths, copy-paste-ready TypeScript diffs, and a runnable lint/test command block covering the common cases.

5 / 5

Workflow Clarity

Clear numbered sequence (影响面 → 移动模板 → 移动 Dispatcher → 常量更新 → 徽章 → UI 检查 → lint/test) with a pre-flight TODO template, explicit validation/verification checklist, and an anti-pattern section forming a feedback loop for error recovery.

5 / 5

Progressive Disclosure

Well-organized with clear section headers, but it is a single monolithic SKILL.md (~200 lines) with no bundle files (references/scripts/assets absent); the detailed step diffs and status-badge reference table are inlined rather than split into one-level-deep reference files.

3 / 5

Total

17

/

20

Passed

Description

78%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, specific description in third-person voice that covers both what and when with concrete scope, distinguished by a clear niche. It would benefit from including the synonym trigger terms (废弃/下线) directly in the description for fuller trigger coverage.

Suggestions

Add the natural synonyms (废弃 / 下线 / 不再推荐使用) directly into the description so the trigger phrase matches what users say, not just "弃用".

Optionally state the concrete actions (移动模板到 abandoned/、加 @deprecated、加 SoonOffline 徽章) instead of only naming the areas covered, to push specificity toward 5.

DimensionReasoningScore

Specificity

Names the domain (FastGPT workflow node deprecation) and lists several concrete coverage areas — "模板、Dispatcher、UI 引用" — with explicit scope (保留向后兼容、隐藏出模板面板); minor gaps in enumerating the actual actions.

4 / 5

Completeness

Clearly states both what it does ("弃用流程标准化封装,覆盖...所有需要改动的位置") and when to trigger ("当用户需要弃用一个工作流节点...时触发"), though the when-clause could name more trigger phrases explicitly.

4 / 5

Trigger Term Quality

Includes natural trigger phrasing ("当用户需要弃用...时触发") and the word "弃用"; the body adds synonyms "废弃/下线/不再推荐使用" but the description itself omits a couple of common natural variations.

4 / 5

Distinctiveness Conflict Risk

Targets a very specific niche (FastGPT workflow node deprecation with backward-compatibility) with distinct triggers, making overlap with other skills minimal.

5 / 5

Total

17

/

20

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
labring/FastGPT
Reviewed

Table of Contents

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