SKILLEMALL.ai
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BF what-to-ask

Get the five questions that matter before you sign, buy, or agree to anything — the front door to the decoder family, routed by situation. Use when asked what should I ask before signing this, I'm about to buy X what do I check, what questions for the landlord/dealer/contractor/HR, or what am I forgetting. Produces the five highest-leverage questions for the specific situation with why each matters and what a bad answer sounds like, plus the pointer to the full decoder when one exists.

mohitagw15856/pm-claude-skills Agent Skills author: mohitagw15856 MIT 1 file body ≈ 1 076 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Get the five questions that matter before you sign, buy, or agree to anything — the front door to the decoder family, routed by situation.

As a process F 52/100 · Will not run — References files that are not bundled: ../lease-decoder/SKILL.md, ../benefits-decoder/SKILL.md, ../home-contractor-quote-decoder/SKILL.md

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: ../lease-decoder/SKILL.md, ../benefits-decoder/SKILL.md, ../home-contractor-quote-decoder/SKILL.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: what-to-ask (mohitagw15856/pm-claude-skills)

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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../lease-decoder/SKILL.md
  • warning missing-ref reference to a missing file: ../benefits-decoder/SKILL.md
  • warning missing-ref reference to a missing file: ../home-contractor-quote-decoder/SKILL.md
  • warning missing-ref reference to a missing file: ../the-car-dealership/SKILL.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../lease-decoder/SKILL.md, ../benefits-decoder/SKILL.md, ../home-contractor-quote-decoder/SKILL.md
  • 0Tools and files. 4 referenced file(s) missing: ../lease-decoder/SKILL.md, ../benefits-decoder/SKILL.md, ../home-contractor-quote-decoder/SKILL.md
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1076 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 490: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 22 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.