CS146S_CN is a Chinese-language, hands-on course about developing software with coding agents, including agent skills, MCP, specification-driven development, testing, deployment, and software-factory practices. It is for programmers learning how to design and use agent-assisted development workflows. The catalogue entries are commands associated with the course.
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.
git clone --depth 1 https://github.com/ShouZhengAI/CS146S_CNWrote 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/commands/shouzhengai/cs146s_cn/tests)<a href="https://agentmods.dev/commands/shouzhengai/cs146s_cn/tests"><img src="https://agentmods.dev/badge/commands/shouzhengai/cs146s_cn/tests/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/commands/shouzhengai/cs146s_cn/tests"><img src="https://agentmods.dev/badge/commands/shouzhengai/cs146s_cn/tests.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 | $0.00000 | $0.00196 |
| Opus 5 | $0.00000 | $0.00098 |
| Sonnet 5 | $0.00000 | $0.00039 |
| Haiku 4.5 | $0.00000 | $0.00020 |
Grade A, and why
tests 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 9d 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.
What it actually says
Run backend tests
Run the Week 4 backend test workflow. Build TEST_ARGS from $ARGUMENTS: use backend/tests when it is empty; prepend backend/tests when it starts with an option such as -k; otherwise use the supplied path or node ID as-is.
- From
week4/, runpytest -q $TEST_ARGS --maxfail=1 -x. - If a test fails, stop. Report the failing test, the first relevant traceback, the likely source file, and one concrete next step. Do not report coverage from a failed run.
- If it passes, run
pytest -q $TEST_ARGS --cov=backend.app --cov-report=term-missing. - Summarize passed/skipped counts, total coverage, and uncovered line ranges. Do not change code unless explicitly asked.
Keep both invocations read-only and deterministic. Never delete the database or rewrite fixtures.
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.
- 9d ago First seen · 10 lines · 0 tokens per session scan A 257436e057e1
tests is a command published in the GitHub repository ShouZhengAI/CS146S_CN (1,554 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 196 tokens. 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 commands, from other repositories
api-endpoint
Création Endpoint API Platform.
generate-ddd
Generate DDD components. Creates entities, value objects, aggregates, commands, queries, repositories, domain services, factories, specifications, DTOs, ACL, event stores, snapshots, and use cases for PHP 8.4.
testing
Comprehensive testing setup for FastAPI applications with pytest and async support.
dare-laravel-api
Padrões DARE para APIs REST em Laravel 11 + PHP 8.3. Strict Types, FormRequests, Services, Resources, Repositories, Eloquent + casts, tratamento global de exceções, testes Pest, PHPStan/Larastan nível 8.
create
Scaffold a complete new Laravel package with Pest v4, Testbench v10, and Workbench.
test-tdd
Run when user calls /test-tdd. Scans modified files, locates their corresponding unit/integration test suites, and runs them.