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CC handdraw-style-prompter

Turn a 001–365 hand-drawn and realistic style number and image theme into bilingual prompts, using model capability data to decide when core traits and a numbered reference image are required.

yang0/handraw-style Agent Skills author: yang0 80 files body ≈ 5 343 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Turn a 001–365 hand-drawn and realistic style number and image theme into bilingual prompts, using model capability data to decide when core traits and a…

As a process C 61/100 · Has gaps — References files that are not bundled: references/model_capabilities.json, references/styles.json

ProcedureAI 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
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
61/100
Has gaps
References files that are not bundled: references/model_capabilities.json, references/styles.json
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: handraw-style

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5343 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/model_capabilities.json
  • warning missing-ref reference to a missing file: references/styles.json

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: references/model_capabilities.json, references/styles.json
  • 0Tools and files. 2 referenced file(s) missing: references/model_capabilities.json, references/styles.json
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 10 mutating operations with no state check
  • 50When 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
  • 70Execution cost. Instruction body is 5343 tokens
  • 100Steps. 75 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 192: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 75 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.