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AI图片摄像机角度提示词转换助手。当用户需要将创意描述转换为摄像机角度提示词、提到"生成"、"转换成"、"角度"、"视角"、"镜头"、"特写"、"中景"、"远景"、"侧视"、"俯视"、"仰视"、"左侧"、"右侧"、"前方"、"后方"等与摄像机位置相关的词汇时必须使用此技能。只要涉及到角度或视角,都必须参考96个摄像机位置提示词进行转换,输出以<sks>开头的标准格式。如果输入不涉及摄像机位置转换,则说明这是图片其他修改命令。

ClawHub Agent Skills author: bozoyan v1.0.0 MIT-0 7 files · 2 scripts body ≈ 2 392 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
Unfinished process
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
  • 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: 6. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2392 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (10 tags): a typed call is more reliable
  • medium 12 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (19 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill mostly does camera-angle prompt conversion, but it also ships under-declared BizyAir API scripts and a local permission file that can pre-approve shell/API actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026