SKILLEMALL.ai
GitHub ↗ RU Sign in

BD Ora社媒主页搜索专家

Ora外贸获客矩阵社媒获客引擎，支持关键词正向搜索与域名/企业名称反查，精准定位LinkedIn、Facebook、Twitter、Instagram等主流平台社媒账号。作为一款专业的社媒获客软件与外贸社媒工具，深度整合社媒营销、社媒推广与社媒运营能力，覆盖Facebook、Instagram、WhatsApp、TikTok获客系统需求。适用于社交平台搜索、社媒助手等外贸社媒拓客场景。当用户需要使用社媒获客软件查找社媒账号、进行社媒营销或调用各平台获客系统时使用此技能。

ClawHub Agent Skills author: OraAgent v1.0.7 MIT-0 8 files body ≈ 4 432 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Ora外贸获客矩阵社媒获客引擎，支持关键词正向搜索与域名/企业名称反查，精准定位LinkedIn、Facebook、Twitter、Instagram等主流平台社媒账号。作为一款专业的社媒获客软件与外贸社媒工具，深度整合社媒营销、社媒推广与社媒运营能力，覆盖Facebook、Instagram、WhatsApp、Ti…

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationWhatsAppMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
D
40/100
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: 8. 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 40/100

  • 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
  • 40Consistency. Frontmatter name (Ora社媒主页搜索专家) differs from the folder (ora-sns-pro)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4432 tokens
  • 100Steps. 81 steps
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (25 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This skill is a disclosed social-media search integration that sends user search terms to fixed API endpoints and uses a local service token, with no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 16 Jun 2026