AD chilltion
通过 Chilltion（轻现AI）API 生成 AI 视频。当用户想要从文本提示创建短视频、查询 Chilltion 会话/积分/费用/余额，或调用 Chilltion 的任意 /api 端点时使用。触发词包括"做个视频"、"生成视频"、"create a video"、"chilltion"、"查会话/积分/余额"。支持自主（单次）和交互（多轮）两种模式；在 scripts/*.sh 下提供每个端点的 shell 脚本，共享统一的 env 校验辅助函数。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
IntegrationMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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: 11. 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")
Process rating: all ten parameters 41/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (chilltion) differs from the folder (generate-free-ai-video-via-chilltion)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 7 steps
- 100Execution cost. Instruction body is 807 tokens
- 100Progress reporting. Reports progress
- low The response is described with custom markup (5 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
- +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 3 example trigger phrases
- +3Description length 231: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (2 code blocks)
- +3All 9 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.
External checks
ClawHub: clean
This skill is a disclosed Chilltion API wrapper for video generation and account checks, with expected credential and credit-spending implications.
LLM: benign (high) · VirusTotal: · 29 May 2026