BD generate-poster
通过 Flyelep API 生成电商产品主图、详情图海报和白底主图，支持异步（提交后轮询）与同步（一次请求出图）两种模式。 当用户要求生成产品图、电商海报、Amazon 商品图、详情页图片、白底图、白底主图、纯白背景产品图时使用此技能。
As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 6032 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 40/100
- 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
- 40Consistency. Frontmatter name (generate-poster) differs from the folder (flyelep-generate-poster)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70Execution cost. Instruction body is 6032 tokens
- 100Steps. 82 steps
- 100Running it twice. No mutating operations
- low 11 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 119: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 51 headings
- +3Step-by-step instructions: 82 items
- +4Has examples (59 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: clean
This skill is a disclosed Flyelep API helper for generating e-commerce images, with user-provided API keys and optional image uploads that fit its stated purpose.
LLM: benign (high) · VirusTotal: · 28 Aug 2026