awesome-agentic-ai-zh is a trilingual learning roadmap for building and using AI agents, which are systems that pursue a goal by choosing steps, using tools, and responding to results. It guides beginners and experienced programmers through LLM basics, agent loops, multi-agent systems, reliability, and practical exercises. Its catalogue add-ons support workflows involving CLI agents such as Claude Code, Codex, and OpenCode.
Borrowing it
Nothing to install: this file belongs to WenyuChiou/awesome-agentic-ai-zh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WenyuChiou/awesome-agentic-ai-zh/main/CLAUDE.mdgit clone --depth 1 https://github.com/WenyuChiou/awesome-agentic-ai-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/wenyuchiou/awesome-agentic-ai-zh/claude-md)<a href="https://agentmods.dev/instructions/wenyuchiou/awesome-agentic-ai-zh/claude-md"><img src="https://agentmods.dev/badge/instructions/wenyuchiou/awesome-agentic-ai-zh/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/wenyuchiou/awesome-agentic-ai-zh/claude-md"><img src="https://agentmods.dev/badge/instructions/wenyuchiou/awesome-agentic-ai-zh/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.03152 | $0.03152 |
| Opus 5 | $0.01576 | $0.01576 |
| Sonnet 5 | $0.00630 | $0.00630 |
| Haiku 4.5 | $0.00315 | $0.00315 |
Grade A, and why
awesome-agentic-ai-zh CLAUDE.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 10d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Memory — awesome-agentic-ai-zh
Standing instructions for any AI agent (Claude, Codex, Gemini) working on this repo. Read this first before touching exercises or model recommendations.
📍 Repo positioning — read before adding anything
This repo's role: learning roadmap + curated resources + simple illustrative cases.
Benchmark for "what we are NOT": datawhalechina/hello-agents is the canonical chapter-length zh-TW depth tutorial (16 production capabilities, chapter format). We don't compete with it; we route to it.
Implications when contributing:
| Decision | Rule |
|---|---|
| New stage-level exercise folder | OK if it adds a roadmap node + dual-path SDK demo + 1-line punchline. 70-150 lines starter is the right size. |
| Expanding a starter beyond ~150 lines | Push back. If it's growing into chapter-length, add a 📚 callout pointing to hello-agents instead. |
Adding a 5th extension to README |
Diminishing return. Keep README tight (under ~200 lines); extra depth goes to the 📚 callout. |
| New resource (lib / paper / tool / framework) | Almost always YES — add to the relevant 精選 Projects section or resources/ catalog. Curation is the primary value. |
| New chapter-length tutorial inside this repo | Push back. If the topic deserves chapter-length, the right move is: write a 1-page summary + simple illustrative case + 📚 callout to a canonical source (hello-agents / Anthropic Cookbook / framework's own docs). |
| Trilingual mirror priority | zh-TW canonical first; en + zh-Hans mirror when capacity allows. Don't block shipping waiting for 3-lang. |
One-line summary: route → depth, not reinvent. Every exercise folder ends with 📚 "want chapter-length? go to hello-agents X + [extra ref]".
Existing examples of this pattern (as of 2026-05-13):
- All Stage 3 / 4 / 6 / 7 example READMEs have the 📚 callout (20 folders × 1 callout)
- Main README + 3-lang mirror have the positioning statement near 🎯 Why this exists section
tracks/cli/is outline-only on purpose (CLI exercises are bash/markdown/config, not Python SDK; doesn't fit the dual-path frame — that's correct)
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.
- 10d ago Changed · +1 lines · +18 tokens per session 11ad54f3b951
- 12d ago First seen · 132 lines · 3,134 tokens per session scan A de928a69872d
awesome-agentic-ai-zh CLAUDE.md is an instructions file published in the GitHub repository WenyuChiou/awesome-agentic-ai-zh (6,775 stars, last pushed yesterday), licensed MIT. It adds 3,152 tokens to every session, about $0.0158 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.
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