Xiaohei Article Illustrator
Art-direct concise hand-drawn Chinese article illustrations from an article thesis using a small dark character, white space, sparse color annotations, visual metaphor, shot cards, and publishing-size QA. Use for conceptual article images, workflow metaphors, knowledge posts, and explanatory editorial illustrations.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-xiaohei-article-illustrator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-ai-skills-xiaohei-article-illustrator) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Xiaohei Article Illustrator
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
TIKAZ Edition
- Type: original art-direction workflow; no reference images or generator-specific assets are bundled.
- TIKAZ contribution: thesis-to-shot translation, metaphor selection, character role limits, label budget, accessibility text, and consistency QA.
Workflow
- Extract the article's single message, audience, publishing ratio, and what the image must explain rather than decorate.
- Choose one mechanism or metaphor and write a shot card: message, scene, composition, character action, labels, palette, forbidden elements, and alt text.
- Use a mostly white hand-drawn field, one small dark character as guide rather than mascot wallpaper, and sparse red/orange/blue annotations only where they clarify causality.
- Keep Chinese labels short and verified. Avoid large title text unless requested.
- Generate or draw with the tool available in the user's environment; do not assume a particular image provider.
- Review at publishing size for message recognition, text accuracy, hierarchy, cropping, character consistency, and accessible alternative text.
Do not imitate a living artist or copy an upstream example image. Translate desired qualities into composition, line, palette, and narrative constraints.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-AI-Skills
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.