AC mahjong-ai
AI 麻将助手 — 拍照识别手牌，分析最优出牌。川麻规则（血战到底/血流成河），只有筒条万，每人13张。用法：发一张手牌照片，AI 识别牌面并给出出牌建议、听牌分析、向听数计算。Use when: user sends a mahjong hand photo, asks for mahjong strategy, tile analysis, or which tile to discard.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: AI 麻将助手 — 拍照识别手牌，分析最优出牌。川麻规则（血战到底/血流成河），只有筒条万，每人13张。用法：发一张手牌照片，AI … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 221 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
- +1No license
- +2Single-language instructions
- +3Description length 199: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is a coherent Mahjong assistant; the main caution is privacy when sending game photos through messaging or AI-vision services.
LLM: benign (high) · VirusTotal: · 29 May 2026