SKILLEMALL.ai

AF alevel-physics-cie

Generate structured answer templates for CIE A-Level Physics (9702) exam questions. Fine-tuned Qwen3-4B LoRA model: question type, given/required, formulae, answer frame, checks. Primary use: local MLX inference (skill/scripts/inference.py) — loads HF base weights and local adapters; no API key and no web scraping in that path. Optional maintainer-only: scraper (cie.fraft.org) and DeepSeek API for rebuilding training data; see SECURITY.md. MANDATORY orchestrator: plain-text math only (no LaTeX dollar delimiters).

ClawHub Agent Skills author: Xudong Liu v1.0.2 MIT-0 25 files · 1 script body ≈ 1 262 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 53/100 · Will not run — References files that are not bundled: SECURITY.md

GeneratorLaTeXInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: SECURITY.md
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: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: SECURITY.md

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: SECURITY.md
  • 0Tools and files. 1 referenced file(s) missing: SECURITY.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1262 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)
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 518: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 18 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a coherent physics exam-prep skill; normal use is local inference, while broader scraping and DeepSeek training tools are disclosed and user-directed.
LLM: benign (high) · VirusTotal: · 29 May 2026