SKILLEMALL.ai

BF djtu-vehicle-eng-thesis-check

Activated ONLY by the explicit slash command /djtu-vehicle-eng-thesis-check. Do NOT activate on generic phrases like "check my thesis", "format my paper", or "convert to Word". This skill validates and builds DJTU Vehicle Engineering thesis documents from a Markdown draft into a formatted .docx file.

ClawHub Agent Skills author: LingMaker9 v0.1.1 MIT-0 2 files body ≈ 1 227 tokens Open the sourceclawhub.ai analyzed 2 d ago

Activated ONLY by the explicit slash command /djtu-vehicle-eng-thesis-check.

As a process F 52/100 · Will not run — References files that are not bundled: references/requirements.txt, references/formatting-spec.md, references/glossary.md

ProcedureWordSoftware developmentData and analyticsResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/requirements.txt, references/formatting-spec.md, references/glossary.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/requirements.txt
  • warning missing-ref reference to a missing file: references/formatting-spec.md
  • warning missing-ref reference to a missing file: references/glossary.md
  • warning missing-ref reference to a missing file: references/examples/chapter-sample.md
  • warning missing-ref reference to a missing file: references/examples/bad-vs-good.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/requirements.txt, references/formatting-spec.md, references/glossary.md
  • 0Tools and files. 5 referenced file(s) missing: references/requirements.txt, references/formatting-spec.md, references/glossary.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 13 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1227 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 301: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
The reviewed skill artifacts are coherent maintainer/developer workflow guidance with no evidence of hidden, deceptive, or automatic harmful behavior.
LLM: benign (high) · VirusTotal: · 18 Jun 2026