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BF tcm-face-tongue

中医面舌辨证。调用 RageHealth 开放接口，对人脸 / 舌头图片做中医辨证。包含「望面」(`face-tcm-analyse`)、「望舌」(`tongue-diagnosis`)、「面舌辨证」(`comprehensive-interpretation`) 三个子接口，输出体质（平和/气虚/阳虚/阴虚/痰湿/湿热/血瘀/气郁/特禀/气阴两虚）、五脏（心肝脾肺肾）阴阳得分、症状、面色/舌象分类、推荐食谱、综合解读等。当用户上传人脸/舌头照片要求"中医辨证"、"看体质"、"望面望舌"、"面诊舌诊"、"五脏分析"时使用此技能。

ClawHub Agent Skills author: qianchen94 v1.0.6 MIT-0 6 files body ≈ 1 540 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: scripts/.env

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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/.env
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: scripts/.env

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/.env
  • 0Tools and files. 1 referenced file(s) missing: scripts/.env
  • 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
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1540 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 267: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This is a coherent RageHealth face/tongue analysis skill, but users should understand that it sends sensitive images to an external API.
LLM: benign (medium) · VirusTotal: · 31 Jul 2026