SKILLEMALL.ai

AC krea2-megastructure-prompts

为 Krea 2 图像模型生成"巨构"(mega-scale structure / 超尺度结构)类生图提示词。适用于巨构建筑、巨型生物与巨兽、自然与地质巨构、机械载具巨构、超现实混合巨构等场景。当用户要求生成巨型建筑、巨兽、巨神像、悬浮要塞、巨型峡谷/巨树/巨浪、星舰机甲、世界树、天空之城,或提到"巨构""巨型""超尺度""史诗感""压迫感""尺度对比""monumental""colossal""megastructure""leviathan"时使用。产出英文长句提示词 + 中文说明 + Krea 2 参数建议。

ClawHub Agent Skills author: 顶尖王牌程序员 v1.0.0 MIT-0 7 files body ≈ 992 tokens Open the sourceclawhub.ai analyzed 28 h ago

为 Krea 2 图像模型生成"巨构"(mega-scale structure /…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 7. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 992 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

  • +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 4 example trigger phrases
  • +3Description length 262: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This is a Markdown-only Krea 2 prompt helper with no executable behavior; the main caveats are broad activation wording and fixed English/Chinese output defaults.
LLM: benign (high) · VirusTotal: · 14 Sept 2026