BD fangyan-map
普通话与十一种中文方言双向对照查询技能。支持哈尔滨话、河南话、湖南话、天津话、北京话、上海话、广东话、东营方言、重庆方言、闽南话、大连话与普通话的日常词汇对照。适用于AI方言对话、跨方言沟通、方言文化研究、文案本地化。含13333条词汇库。
普通话与十一种中文方言双向对照查询技能。支持哈尔滨话、河南话、湖南话、天津话、北京话、上海话、广东话、东营方言、重庆方言、闽南话、大连话与普通话的日常词汇对照。适用于AI方言对话、跨方言沟通、方言文化研究、文案本地化。含13333条词汇库。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1807 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 120: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: suspicious
This looks like a real dialect dictionary, but it also includes under-scoped cloud sync, recurring enrichment, credential access, and local chat-derived logging that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 13 Jun 2026