SKILLEMALL.ai

BF overseas-engineering-bd

海外工程业务拓展领域负载物——针对东非市场(坦桑尼亚/乌干达)的工程、光伏、钢结构业务。覆盖情报采集(爬虫/PDF OCR/文库搜索)、智能提取(DeepSeek API)、背景调查、联系补全、名录管理、触达执行(邮件/WhatsApp)、看板展示全价值链。5域18种任务,含依赖拓扑和UTOS接口。触发词:海外工程、非洲BD、国际工程投标、光伏微电网、钢结构厂房、海外合作伙伴、overseas engineering、Africa BD。

ClawHub Agent Skills author: 波动几何 v1.0.0 MIT-0 5 files body ≈ 1 166 tokens Open the sourceclawhub.ai analyzed 28 h ago

海外工程业务拓展领域负载物——针对东非市场(坦桑尼亚/乌干达)的工程、光伏、钢结构业务。覆盖情报采集(爬虫/PDF OCR/文库搜索)、智能提取(DeepSeek…

As a process F 35/100 · Will not run — References files that are not bundled: references/exemplars/

IntegrationWhatsAppProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/exemplars/
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: 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")
  • warning missing-ref reference to a missing file: references/exemplars/

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/exemplars/
  • 0Tools and files. 1 referenced file(s) missing: references/exemplars/
  • 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
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1166 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 221: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: suspicious
This is a disclosed business-development reference skill, but it enables scraping, contact enrichment, CRM imports, and WhatsApp/email outreach without enough consent, privacy, or user-control guardrails.
LLM: suspicious (high) · VirusTotal: · 6 Jun 2026