SKILLEMALL.ai

BD 1688-customer-opportunity

1688 买家跟进与客群运营。可以帮你做: ① 查看AI客群列表 — 店铺有哪些高价值老客客群、各客群特征和买家数 ② 展开客群买家明细 — 选一个客群,看具体有哪些买家 ③ 开启客群运营计划 — 对选定客群自动发送旺旺营销文案 ④ 查买家成交机会 — 输入买家账号,获取画像和跟进建议 ⑤ 客户机会监控 — 智能找出近期最值得主动联系的买家

ClawHub Agent Skills author: 1688AiInfra v0.1.0 MIT-0 44 files body ≈ 4 380 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
42/100
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: 44. 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 42/100

  • 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. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4380 tokens
  • 100Steps. 91 steps
  • 100Consistency. Name and required fields are in place

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
  • -257 emoji in the instructions: noise for the model
  • -36 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 171: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 91 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill mostly fits a 1688 CRM marketing workflow, but it needs Review because it handles sensitive account keys and customer outreach with inconsistent credential handling and undisclosed usage reporting.
LLM: suspicious (high) · VirusTotal: · 29 May 2026