BB translate-to-chn
Translate a specific article from ai-thoughts/docs/ into Simplified Chinese, writing the output to an exactly-same-filename "-chn.md" file. Use when the user names a specific article and asks to translate it (e.g. "translate 260803-ollama-to-llamacpp", "翻译 xxx", "make a -chn.md version"). Never runs automatically; only acts on an explicitly chosen article.
Translate a specific article from ai-thoughts/docs/ into Simplified Chinese, writing the output to an exactly-same-filename "-chn.md" file. Use when the user…
As a process B 78/100 · Nearly there — weak spots: result and completion, progress reporting
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 78/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 42 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1736 tokens
- 100Running it twice. Mutating operations check current state
- low The response is described with custom markup (10 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 358: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 42 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.