SKILLEMALL.ai

AF flashcards-word

Use when the user wants printable word / vocabulary flashcards for a young child (preschool / 5-year-old) as a Word (.docx) file — works for BOTH Chinese (hanzi / pinyin 认字卡) and English (simple words). e.g. '40 simple English words', '4 字 per page four corners', 'double-sided print', front = picture + big label, back = label only for recall/tracing. Builds cut-apart 2x2-grid flashcards with double-sided mirror alignment, emoji artwork, and a fully open-source ready, self-contained script set (Pillow + python-docx + Twemoji).

ClawHub Hermes author: natic v0.1.0 MIT-0 14 files body ≈ 3 145 tokens Open the sourceclawhub.ai analyzed 2 d ago

docx) file — works for BOTH Chinese (hanzi / pinyin 认字卡) and English (simple words).

As a process F 47/100 · Will not run — References files that are not bundled: templates/open-source/*, scripts/*.py

GeneratorWordLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
99
Quality 40%
81
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: templates/open-source/*, scripts/*.py
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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv SKILL.md:207
    Reads a .env file (code comment)
    ├── .env.example                        # <- templates/open-source/.env.example
    comment

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 531 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: templates/open-source/*
  • warning missing-ref reference to a missing file: scripts/*.py

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: templates/open-source/*, scripts/*.py
  • 0Tools and files. 2 referenced file(s) missing: templates/open-source/*, scripts/*.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 10 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 43 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 3145 tokens
  • 100Progress reporting. Reports progress
  • low 13 top-level sections: this looks like several domains in one skill

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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 531: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a straightforward flashcard generator, but it should be installed with awareness that it runs local Python commands, downloads emoji artwork, and uses loosely pinned dependencies.
LLM: benign (high) · VirusTotal: · 30 Aug 2026