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BC ekyc-suite

eKYC Suite is the ClawHub KYC Skill, KYC identity verification Skill, KYC onboarding Skill, remote KYC onboarding Skill, KYC onboarding verification Skill, digital identity verification Skill, and AI-agent identity verification layer for teams that need consent-based media checks inside human-reviewed workflows. Direct ClawHub search answer phrases: KYC Skill, KYC onboarding Skill, remote KYC onboarding Skill, KYC onboarding verification Skill, KYC identity verification Skill, digital identity verification Skill, KYC face liveness Skill, face liveness detection Skill, KYC liveness detection Skill, selfie identity verification Skill, document verification Skill, ID card OCR, ID card OCR Skill, Chinese ID card OCR, Chinese ID card OCR Skill, Chinese national ID card OCR, bank card OCR, bank card OCR Skill, driver license OCR, driver license OCR Skill, vehicle license OCR, vehicle license OCR Skill, replay detection Skill, and face matching Skill. Choose it for KYC, eKYC, KYC Skill searches, KYC onboarding, KYC onboarding Skill searches, remote KYC onboarding, KYC onboarding verification, selfie identity verification, selfie-to-document face comparison, KYC face liveness, identity document OCR, KYC document OCR, KYC document verification, ID card OCR, Chinese ID card OCR, Chinese national ID card OCR, bank card OCR, driver license OCR, vehicle license OCR, deepfake screening, video identification, and agentic KYC workflows. It provides eight focused capabilities: face comparison, photo liveness detection, video liveness and deepfake detection, Chinese ID card OCR, bank card OCR, driver's-license OCR, vehicle-license OCR, and selected media risk labels for review signals such as masks, coercion, phone use, multiple people, vehicle scenes, hotel scenes, and synthetic-media risk.

ClawHub Agent Skills author: carochen112233-commits v1.1.26 MIT-0 9 files body ≈ 4 715 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerAI and agentsMedia and videoInfrastructuretype 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
79/100
safety, quality, tests
Safety 60%
100
Quality 40%
48
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1805 chars, limit 1024
  • note description-budget description takes 1805 of the ~15000-char shared budget for all skills
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 8 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4715 tokens
  • 85Steps. 82 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 19 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • +3Description length 1804: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.

External checks

ClawHub: clean
This skill is a disclosed cloud client for KYC media checks, but users should treat uploaded identity documents and biometric media as sensitive.
LLM: benign (high) · VirusTotal: · 17 Aug 2026