AD chinese-ad-copywriter
Chinese ad copywriter with API-powered compliance check (中文广告文案生成+广告法违禁词API检测). Generate marketing copy for 小红书/抖音/微信公众号/百度/淘宝 and auto-check for 违禁词 via real API backend. Features: (1) API-powered banned word detection with 200+ word database, (2) Platform-specific copy templates via /generate endpoint, (3) Executable check.sh and generate.sh scripts, (4) Covers 极限词/虚假宣传/医疗用语/比较广告/金融承诺/诱导消费, (5) 2026 updated banned words list with safe alternatives. Free tier: 20 checks/month. ONLY skill combining real API backend + Chinese ad copywriting + advertising law compliance. Use when: writing 小红书 copy, creating 抖音 ads, checking 违禁词, 广告法合规, Chinese marketing copy, ad compliance. Triggers: ad copywriter, Chinese ad copy, 违禁词检查, 广告法合规, 小红书文案, 抖音广告, 淘宝标题, marketing copy Chinese, advertising law compliance, banned words scanner, ad copy API, compliance API.
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 4. 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
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 66 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1082 tokens
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 858: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 23 headings
- +3Step-by-step instructions: 66 items
- +4Has examples (4 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.