AF prompt-optimizer
Use when the user asks to optimize, improve, or rewrite a prompt, or when a vague request needs to be turned into a precise instruction. Two engines: 3300+ template library + LLM meta-prompting. Do NOT use for general conversation or code review.
Two engines: 3300+ template library + LLM meta-prompting.
As a process F 40/100 · Will not run — References files that are not bundled: references/categories/index.json, references/categories/{类别名}.json, references/categories/{类别}.json
How to improve
- The text references files that are not there: add them or drop the references.
- 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
missing-refreference to a missing file: references/categories/index.json - warning
missing-refreference to a missing file: references/categories/{类别名}.json - warning
missing-refreference to a missing file: references/categories/{类别}.json
Process rating: all ten parameters 40/100
- 0Tools and files. 3 referenced file(s) missing: references/categories/index.json, references/categories/{类别名}.json, references/categories/{类别}.json
- 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
- 40Consistency. Frontmatter name (prompt-optimizer) differs from the folder (tz-prompt-optimizer)
- 100Steps. 74 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 2163 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
- +3Output format is not stated: the model decides each time
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 246: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 74 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.