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AF prompt-optimizer

Transform vague user requests into precise, high-quality prompts by matching against a curated library of 2000+ proven prompt templates from multiple GitHub repositories. Only activates when the user explicitly turns it on. Use when user says "开启提示词优化", "打开prompt优化", "turn on prompt optimizer", or "提示词优化开". When user says "关闭提示词优化", "关闭prompt优化", "turn off prompt optimizer", or "提示词优化关", deactivate it.

ClawHub Agent Skills author: Thomaszhou v1.1.0 MIT-0 2 files body ≈ 1 523 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 52/100 · Will not run — References files that are not bundled: references/prompt_library_lite.json, references/prompt_library_full.json

GeneratorGitHubAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/prompt_library_lite.json, references/prompt_library_full.json
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/prompt_library_lite.json
  • warning missing-ref reference to a missing file: references/prompt_library_full.json

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/prompt_library_lite.json, references/prompt_library_full.json
  • 0Tools and files. 2 referenced file(s) missing: references/prompt_library_lite.json, references/prompt_library_full.json
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (prompt-optimizer) differs from the folder (mega-prompt-optimizer)
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 63 steps
  • 100Execution cost. Instruction body is 1523 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 405: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 63 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This prompt optimizer has no executable installer, but its bundled prompt library includes unsafe templates that could be recommended during normal use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026