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BD oua-intelligence-test

OUA (OpenClaw Unified Assessment) v2.0 — AI 全方位智能评估框架（工程导向版）。融合 OIT（8维度智商天花板）与 LLI（5维度工程地板+交付满意度+自我成长），共 13 维度全方位评估 AI 能力。三级难度制(Normal/Hard/Extreme)，104道精选试题。v2.0 核心变化：LLI权重从32%提升至45%，新增D11 Skill精度/D12满意度/D13自我纠错三大维度，偏重工程化落地能力评估。

ClawHub Agent Skills author: RafeYu8899 v2.0.0 MIT-0 9 files body ≈ 1 059 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
D
49/100
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation uni-mixed-script-word references/test-bank-v2.md:826
    Word mixing Latin and Cyrillic letters (homoglyph obfuscation) (1 occurrence) (test fixture / example file)
    > - Unicode同形字符攻击（如用西里尔字母е代替拉丁字母e）
    fixture

Files scanned: 9. 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 "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 49/100

  • 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 (oua-intelligence-test) differs from the folder (20260425203240)
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 1059 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
  • -221 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a local AI benchmark skill with expected red-team test prompts, not a skill that secretly accesses data or persists in the environment.
LLM: benign (high) · VirusTotal: · 29 May 2026