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 AgenticAIPlan/AgenticAISkills --skill llm-solution-techdoc-latexgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/llm-solution-techdoc-latex)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/llm-solution-techdoc-latex"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/llm-solution-techdoc-latex/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/agenticaiplan/agenticaiskills/llm-solution-techdoc-latex"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/llm-solution-techdoc-latex.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 | $0.00107 | $0.01006 |
| Opus 5 | $0.00053 | $0.00503 |
| Sonnet 5 | $0.00021 | $0.00201 |
| Haiku 4.5 | $0.00011 | $0.00101 |
Grade A, and why
llm-solution-techdoc-latex scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. 下载安装脚本：`curl -L --fail --silent --show-error -o install-tectonic.sh https://drop-sh.fullyjustified.net` What it actually says
企业大模型技术方案（LaTeX）
用 LaTeX 生成典型「技术方案 / 交付文档」结构，显式建立 大模型可交付能力 与 客户现有产品/系统 之间的映射关系；不绑定特定厂商或模型品牌，具体平台与指标以合同与官方材料为准。
输入（收集或由用户给定）
- 客户画像：
customer_name、industry、current_products[] - 目标场景：
scenarios[]（痛点 → 能力 → 集成 → KPI） - 大模型能力范围：
llm_capabilities[]（仅写已开通/已采购项；否则标「待确认」） - 集成约束：
data_sources[]、deployment_mode、security_compliance[] - 运维要求：
sla、monitoring、cost_model（允许占位）
执行流程
- 编辑
assets/sample-input.json（或自建 JSON，字段名与样例一致）。 - 运行：
python3 scripts/generate_techdoc.py --input assets/sample-input.json --outdir output --compile --engine tools/tectonic/tectonic- 若本机未装 LaTeX，可用
--preview生成可审阅的纯文本（并尝试用系统cupsfilter生成简易 PDF）：... --preview
- 交付物：
output/llm-solution-techdoc.texoutput/llm-solution-techdoc.pdf（编译成功时）output/llm-solution-techdoc.preview.pdf（使用--preview且cupsfilter可用时）
安装 Tectonic（推荐）
若 tools/tectonic/tectonic 不存在，可在 Unix/macOS 下安装：
- 下载安装脚本：
curl -L --fail --silent --show-error -o install-tectonic.sh https://drop-sh.fullyjustified.net - 在
tools/tectonic/目录执行：sh install-tectonic.sh
（tectonic 是独立的 TeX/LaTeX 引擎，负责解析 .tex 并输出 PDF；curl 用于下载官方分发脚本。）
规则（保证表述可审计）
- 无合同或官方材料时，不要写死具体模型版本或评测指标；用「以实际开通能力为准 / 待确认」占位。
- 优势描述与 场景 绑定（时延、成本、准确率、合规、TCO 等），避免空洞营销话术。
- 映射关系优先用表格：能力 ↔ 产品模块 ↔ 集成方式 ↔ 预期收益 ↔ KPI。
随包资源
assets/techdoc-template.tex：LaTeX 模板（ctexart+ 企业文档结构）assets/sample-input.json：可跑通的示例数据scripts/generate_techdoc.py：JSON →.tex渲染，并可选用tectonic/xelatex/pdflatex编译output/：可选示例生成物（.tex/.preview.txt）；PDF 需本地编译或--preview生成，默认不纳入版本库（见.gitignore）references/：补充资料占位，可按项目追加说明
依赖说明（Python 标准库）
argparse：命令行参数（--input/--outdir/--compile等）。json：读取结构化输入。pathlib.Path：路径拼接与读写文件。subprocess：调用外部 LaTeX 引擎或cupsfilter。shutil.which：在PATH中查找可执行文件。
What ships with it
8 files 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.
- 9d ago First seen · 59 lines · 107 tokens per session scan A 1ca91cfde8f5
llm-solution-techdoc-latex is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 107 tokens to every session and 1,006 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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