SKILLEMALL.ai

BF cloud-ecs-bcc-comparison

阿里云ECS与百度智能云BCC云主机规格智能对标询价工具。 用户输入CPU核数、内存大小、磁盘规格(类型/容量)、带宽类型及大小、地域等参数, 自动匹配计算型/通用型/内存型实例族的对应规格,并输出两家云厂商的预付费1个月价格。 支持Skill文档外规格的智能匹配(按处理器主频/睿频/CPU/内存推断), 若阿里云对应实例售罄则降代处理并说明。严禁输出非预付费1个月以外的价格。

ClawHub Agent Skills author: 963029755 v1.0.0 MIT-0 3 files body ≈ 2 721 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: ../alicloud_ecs_price-1.0.0/SKILL.md, ../baidu-bcc-price-1.0.1/SKILL.md, ../对比关系SKILL.md

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ../alicloud_ecs_price-1.0.0/SKILL.md, ../baidu-bcc-price-1.0.1/SKILL.md, ../对比关系SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 3. 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")
  • warning missing-ref reference to a missing file: ../alicloud_ecs_price-1.0.0/SKILL.md
  • warning missing-ref reference to a missing file: ../baidu-bcc-price-1.0.1/SKILL.md
  • warning missing-ref reference to a missing file: ../对比关系SKILL.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../alicloud_ecs_price-1.0.0/SKILL.md, ../baidu-bcc-price-1.0.1/SKILL.md, ../对比关系SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../alicloud_ecs_price-1.0.0/SKILL.md, ../baidu-bcc-price-1.0.1/SKILL.md, ../对比关系SKILL.md
  • 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. 1 mutating operations with no state check
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2721 tokens

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 190: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (10 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This appears to be a real cloud price comparison skill, but it handles cloud access keys in a risky way and disables TLS verification for Baidu API requests.
LLM: suspicious (high) · VirusTotal: · 29 May 2026