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eframe 框架快速开发技能。基于linlan-eframe框架快速开发后端接口与前端页面。当需要在eframe(SpringBoot+MyBatis+Security, Vue3+Element Plus)上新增业务模块、生成CRUD接口、写前后端代码时使用。功能:(1)新模块端到端开发流程 (2)model/view/api三层代码范式 (3)读写分离Entry/Op约定 (4)module-generator代码生成器 (5)前端api+views范式。

ClawHub Agent Skills author: 麟览 v1.0.0 MIT-0 5 files body ≈ 1 941 tokens Open the sourceclawhub.ai analyzed 9 h ago

eframe 框架快速开发技能。基于linlan-eframe框架快速开发后端接口与前端页面。当需要在eframe(SpringBoot+MyBatis+Security, Vue3+Element Plus)上新增业务模块、生成CRUD接口、写前后端代码时使用。功能:(1)新模块端到端开发流程…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 43/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1941 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 233: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 32 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
The skill is mostly coherent documentation for eframe CRUD development, but one reusable backend example omits authorization checks on detail and export endpoints that users may copy into real applications.
LLM: suspicious (high) · 12 Sept 2026