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 skills add NanGePlus/LangChain_V1_Test --skill text_inspectgit clone --depth 1 https://github.com/NanGePlus/LangChain_V1_TestWrote 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/skills/nangeplus/langchain_v1_test/text_inspect)<a href="https://agentmods.dev/skills/nangeplus/langchain_v1_test/text_inspect"><img src="https://agentmods.dev/badge/skills/nangeplus/langchain_v1_test/text_inspect/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/skills/nangeplus/langchain_v1_test/text_inspect"><img src="https://agentmods.dev/badge/skills/nangeplus/langchain_v1_test/text_inspect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.00479 |
| Opus 5.5 | $0.00026 | $0.00192 |
| Sonnet 5.5 | $0.00013 | $0.00096 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
text_inspect 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 1mo 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
文本快速检查技能（带脚本）
概述
本技能用于对用户提供的文本做轻量分析并输出结构化结果。该技能目录附带一个 text_inspect.py 脚本，作为参考实现与可复用的分析逻辑说明。
使用说明
- 确认输入：拿到需要分析的文本（用户粘贴的全文，或来自此前工具返回的内容）。
- 选择输出粒度（默认精简版）：
- 精简版：行数/段落数/字符数/词数 + Top 关键词（5-10 个）+ 可能的异常（空行过多、重复句等）。
- 详细版：在精简版基础上增加：重复率提示、包含的 URL/邮箱数量、疑似代码块占比等。
- 执行原则：
- 不臆测文本来源与含义，只做可从文本直接推导的统计/特征提取。
- 如用户指定了“只统计中文/只统计英文/忽略标点”，按要求调整口径；未指定则用通用口径。
- 输出：用清晰的小标题或 JSON 风格字段输出；若文本为空或过短，直接说明无法分析并提示补充文本。
可执行工具
使用通用工具 run_skill_python(skill_name, script_name, function_name, function_kwargs) 来得到确定性结果（该工具会执行本目录下的 text_inspect.py 逻辑），再把返回的 JSON 解释为用户可读的结构化输出：
skill_name:"text_inspect"script_name:"text_inspect.py"function_name:"inspect_text"function_kwargs:{"text": <待分析文本>, "top_k": 10}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 30 lines · 65 tokens per session scan A ca575f7c3e1d
text_inspect is a skill published in the GitHub repository NanGePlus/LangChain_V1_Test (130 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 479 once invoked, about $0.0003 per session on Opus 5.5. 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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