SKILLEMALL.ai

AD crm-pseudo-code-query

同花顺 CRM (crm.10jqka.com.cn) 批量查询用户伪码。此 skill 应在用户提供一批 userid 并需要查询对应的伪码(格式 #数字#,出现在客户详情页联系电话字段)时使用。通过 mTLS 客户端证书加密码三步认证登录 CRM,然后批量抓取客户详情页提取伪码。触发场景:用户说给我伪码、提供 userid 列表、提到同花顺 CRM 伪码查询。使用前需自行配置证书和密码。

ClawHub Agent Skills author: chenmiley v1.0.1 MIT-0 5 files body ≈ 495 tokens Open the sourceclawhub.ai analyzed 2 d ago

同花顺 CRM (crm.10jqka.com.cn) 批量查询用户伪码。此 skill 应在用户提供一批 userid 并需要查询对应的伪码(格式 数字,出现在客户详情页联系电话字段)时使用。通过 mTLS 客户端证书加密码三步认证登录 CRM,然后批量抓取客户详情页提取伪码。触发场景:用户说给我伪码、提供…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
D
46/100
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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 495 tokens
  • 100Running it twice. No mutating operations

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 197: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This skill is purpose-built for CRM lookup, but it handles enterprise credentials, client private keys, and customer-linked data in ways that need careful review before installation.
LLM: suspicious (high) · 3 Aug 2026