SKILLEMALL.ai

AF ai-draw-cue-word-project

Build high-consistency AI character prompts across five model syntax families (natural-language / conversational / MJ-Niji / SD / domestic API) and multi-format outputs (image / storyboard / comic panel / video / 3D) using a weight & ratio precision-control workbench. Ships character-anchor sheets, composition & shots references, posture-emotion mapping, reference-image capability matrix, multi-character spatial relations, storyboard/panel layout rules, speech-bubble positioning, LoRA management, temporal-consistency checklist, 3D generation matrix, video prompt template, conversational edit chain, negative-word bank, and a P0/P1/P2 validation checklist. All example characters in this skill are adult (18+) women; no minors allowed.

ClawHub Agent Skills author: nohn3043-arch v2.9.0 MIT-0 27 files body ≈ 2 390 tokens Open the sourceclawhub.ai analyzed 2 d ago

Build high-consistency AI character prompts across five model syntax families (natural-language / conversational / MJ-Niji / SD / domestic API) and…

As a process F 49/100 · Will not run — References files that are not bundled: references/*.csv

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/*.csv
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. 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: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.csv
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/*.csv
  • 0Tools and files. 1 referenced file(s) missing: references/*.csv
  • 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. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 27 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 2390 tokens
  • 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 741: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 27 items
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a prompt-engineering reference workbook for AI character illustration and does not contain executable code, hidden persistence, or unrelated data access.
LLM: benign (high) · VirusTotal: · 1 Sept 2026