AF model-aware-prompt-optimizer
Rewrite, improve, migrate, or adapt an existing user prompt for the specific language model the user is using while preserving intent, facts, variables, constraints, and output requirements. Use when a user asks to optimize a prompt, make a prompt work better, convert a prompt between model families, tune agent or system instructions, or target OpenAI GPT, Claude, Gemini, Grok, DeepSeek, Kimi, Qwen, Doubao/Seed, MiniMax, Mistral, or Llama.
Rewrite, improve, migrate, or adapt an existing user prompt for the specific language model the user is using while preserving intent, facts, variables…
As a process F 59/100 · Will not run — References files that are not bundled: references/deepseek.md, references/qwen.md, references/minimax.md
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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/deepseek.md - warning
missing-refreference to a missing file: references/qwen.md - warning
missing-refreference to a missing file: references/minimax.md - warning
missing-refreference to a missing file: references/mistral.md
Process rating: all ten parameters 59/100
- 0Tools and files. 4 referenced file(s) missing: references/deepseek.md, references/qwen.md, references/minimax.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 100Steps. 29 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1446 tokens
- 100Progress reporting. Reports progress
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)
- +1No license
- +2Single-language instructions
- +3Description length 443: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 29 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.