AD financial-card-video
用 JSON 生成报纸风竖版金融卡片视频 (1080x1920).
用 JSON 生成报纸风竖版金融卡片视频 (1080x1920).
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches
ProcedureMedia and videoSoftware developmenttype and topics are labelled automatically from the skill text
How to improve
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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Consistency. The Hermes dialect needs category and tags
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 25 steps
- 100Execution cost. Instruction body is 1522 tokens
- low 10 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
- +3Description length 33: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 11 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (6 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.
External checks
ClawHub: clean
This skill coherently generates local financial-style card videos from user-provided JSON, with expected local file and media-tool use and no evidence of hidden network, persistence, or credential behavior.
LLM: benign (high) · VirusTotal: · 12 Sept 2026