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BF face-analysis

Supports uploading local MP4 videos or network video URLs to call the server-side API for facial diagnosis. It returns structured TCM facial diagnosis results. | 支持通过上传本地 MP4 视频或网络视频 URL，调用服务端 API 进行面部诊断，返回结构化的中医面诊结果

ClawHub Agent Skills author: smyx-sunjinhui v1.0.3 MIT-0 24 files body ≈ 1 240 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: reportImageUrl

AnalyzerMedia and videotype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: reportImageUrl
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
This is a copy of a skill from another catalog; the rating counts the canonical one: face-analysis (ClawHub)

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: 24. 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: reportImageUrl

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: reportImageUrl
  • 0Tools and files. 1 referenced file(s) missing: reportImageUrl
  • 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 (face-analysis) differs from the folder (new-smyx-new-smyx-face-analysis)
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 1240 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
  • -33 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 216: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill’s face-diagnosis purpose is mostly clear, but it handles sensitive face/health data and includes unclear shared-code and report-history scoping that should be reviewed before use.
LLM: suspicious (medium) · VirusTotal: · 19 May 2026