SKILLEMALL.ai

BD SRM-Yidea-Procurement

SRM供应商关系管理系统完整解决方案 - 业务+技术一体化。覆盖供应商档案、采购申请、询价申请、询价结果确认、合同起草、采购订单、价格库管理、配额管理、收货管理、付款计划、供应商扣款、付款申请、物料档案等功能,同时集成鲸采云表单SDK技术底座,支持表单提交、查询、修改、用户确认机制。Keywords: SRM, 供应商管理, 采购管理, 询比价, 合同管理, 鲸采云, 表单处理, MCP.

ClawHub Agent Skills author: AloraAI v0.1.0 MIT-0 15 files body ≈ 1 730 tokens Open the sourceclawhub.ai analyzed 2 d ago

SRM供应商关系管理系统完整解决方案 - 业务+技术一体化。覆盖供应商档案、采购申请、询价申请、询价结果确认、合同起草、采购订单、价格库管理、配额管理、收货管理、付款计划、供应商扣款、付款申请、物料档案等功能,同时集成鲸采云表单SDK技术底座,支持表单提交、查询、修改、用户确认机制。Keywords: SRM…

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
39/100
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: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (SRM-Yidea-Procurement) differs from the folder (srm)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 1730 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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 196: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This SRM procurement skill is coherent, but it needs Review because it asks for passwords in chat, stores a bearer token on disk, and can perform high-impact procurement changes through broad triggers.
LLM: suspicious (high) · 13 Aug 2026