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 agents/xt765/langchain-chinese-comment/test_return_direct_graphgit clone --depth 1 https://github.com/xt765/LangChain-Chinese-CommentWrote 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/agents/xt765/langchain-chinese-comment/test_return_direct_graph)<a href="https://agentmods.dev/agents/xt765/langchain-chinese-comment/test_return_direct_graph"><img src="https://agentmods.dev/badge/agents/xt765/langchain-chinese-comment/test_return_direct_graph.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00108 |
| Opus 5 | $0.00000 | $0.00054 |
| Sonnet 5 | $0.00000 | $0.00022 |
| Haiku 4.5 | $0.00000 | $0.00011 |
Grade A, and why
test_return_direct_graph 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- test_return_direct_spec — 92% identical, 4 lines differ
What it actually says
libs\langchain_v1\tests\unit_tests\agents\test_return_direct_graph.py
此文档是 libs\langchain_v1\tests\unit_tests\agents\test_return_direct_graph.py 的中文注释文档占位符。
功能描述
待补充。该模块主要负责 LangChain 的相关功能实现。
参数说明
待补充。
返回值解释
待补充。
使用示例
待补充。
注意事项
待补充。
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.
- 4d ago First seen · 19 lines · 0 tokens per session scan A e405680a61f4
test_return_direct_graph is an agent published in the GitHub repository xt765/LangChain-Chinese-Comment (20 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 108 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.
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