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 Jxin-Cai/jxin-skills --skill code-loc-countergit clone --depth 1 https://github.com/Jxin-Cai/jxin-skillsWrote 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/jxin-cai/jxin-skills/code-loc-counter)<a href="https://agentmods.dev/skills/jxin-cai/jxin-skills/code-loc-counter"><img src="https://agentmods.dev/badge/skills/jxin-cai/jxin-skills/code-loc-counter/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/jxin-cai/jxin-skills/code-loc-counter"><img src="https://agentmods.dev/badge/skills/jxin-cai/jxin-skills/code-loc-counter.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 | $0.00074 | $0.00336 |
| Opus 5 | $0.00037 | $0.00168 |
| Sonnet 5 | $0.00015 | $0.00067 |
| Haiku 4.5 | $0.00007 | $0.00034 |
Grade A, and why
code-loc-counter 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 11d 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
Code LOC Counter
统计项目的代码行数，默认排除测试文件和注释，并输出总代码行数与按语言明细。
流程
Step 1: 确定扫描目标
- 如果用户给了路径，使用该路径
- 如果用户没给路径，默认扫描当前目录
- 默认排除测试文件和注释
Step 2: 运行统计脚本
执行本技能 scripts/ 目录下的脚本：
python3 "<本技能目录>/scripts/count_code_lines.py" $ARGUMENTS
常用参数：
- 无参数：扫描当前目录
某个路径：扫描指定目录或文件--include-tests：把测试文件也计入统计--json：输出 JSON 结果
Step 3: 整理结果
默认用简洁格式反馈：
- 总代码行数
- 按语言明细
- 扫描文件数
- 跳过的测试文件数
- 跳过的 unknown / unsupported 文件数
如果用户要求更细，再补充说明哪些文件或语言被跳过。
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.
- 11d ago First seen · 42 lines · 74 tokens per session scan A c45f48428837
code-loc-counter is a skill published in the GitHub repository Jxin-Cai/jxin-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 336 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…