Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/antvis/chart-visualization-skills/agents-mdgit clone --depth 1 https://github.com/antvis/chart-visualization-skillsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01743 | $0.01743 |
| Opus 5 | $0.00872 | $0.00872 |
| Sonnet 5 | $0.00349 | $0.00349 |
| Haiku 4.5 | $0.00174 | $0.00174 |
Grade A, and why
chart-visualization-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent.md - AntV Chart Visualization Skills
Overview
This project is a skill-based system for generating chart visualization code using AntV libraries (G2, G6, S2, etc.). It provides AI agents with structured knowledge about chart types, best practices, and API usage, enabling them to generate correct chart code from natural language queries.
Core Workflow
┌─────────────────────────┐
│ Document + Code │
└───────────┬─────────────┘
│
v
┌────────────────────────┐
┌───>│ Skills │<────┐
│ └───────────┬────────────┘ │
│ │ │
│ v │
│ ┌────────────────────────┐ │
│ │ CLI Tool │ │
│ │ (zvec Hybrid/Vec) │ │
│ └───────────┬────────────┘ │
│ │ │
│ v │
│ ┌────────────────────────┐ │
│ │ Eval + Harness │ │
│ │ (evaluate & optimize) │─────┘
│ └───────────┬────────────┘
│ │
│ v
│ ┌────────────────────────┐
└────│ Playground │
│ (interactive preview) │
└────────────────────────┘
Eval + Harness 通过自动化评测发现问题，再由 LLM 优化 Skill 文档，形成闭环持续提升 Skill 质量。
1. Skill Authoring (skills/)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 169 lines · 1,743 tokens per session scan A 7d682b788ffb
chart-visualization-skills AGENTS.md is an instructions file published in the GitHub repository antvis/chart-visualization-skills (473 stars, last pushed 19d ago), licensed MIT. It adds 1,743 tokens to every session, about $0.0087 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
lola AGENTS.md
Instructions for LobsterTrap/lola, covering lola — agent instructions, working in this repo, development commands, python and go.
skills-hub AGENTS.md
Instructions for liuxingqitd/skills-hub, covering agents.md, commands, project overview, architecture and 应用结构.
lola CLAUDE.md
Instructions for LobsterTrap/lola, covering active technologies and recent changes.
skills-manager AGENTS.md
Instructions for cchao123/skills-manager, covering agents.md, project overview, development commands, start development server and build production bundle.
claude-email-assistant CLAUDE.md
Instructions for marian-kamenistak/claude-email-assistant, covering email assistant, working discipline, your job, email management and triage.
awesome-qa-skills AGENTS.md
AGENTS.md instructions for naodeng/awesome-qa-skills, covering agents.md, project overview, repository map (edit here), skill.md conventions and agents/openai.yaml.