agentmods.dev

PyTorchInsight: Skill for Claude Code

.opencode/skills/pytorchinsight-briefing-style/SKILL.md

pytorchinsight-briefing-style is a skill for Claude Code, OpenCode from cosdt/PyTorchInsight. It costs 36 tokens per session (441 once invoked), scanned A, original, Apache-2.0.

A formatting guide and template for PyTorchInsight community briefing reports. It defines the report sections, Markdown layout, status symbols, and expandable lists.

In plain words
What is it for?
Use it to turn analysis results into standard Markdown reports with summaries, priority items, categorized updates, contributor information, and data-source status.
Why use it?
It removes guesswork about how to structure and format reports consistently.

Skill for Claude CodeOpenCode

Written for Claude Code and OpenCode: allowed-tools in frontmatter, but also installed under .opencode/.

This is cosdt/PyTorchInsight's own configuration. It tells Claude Code and OpenCode how to work on PyTorchInsight itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PyTorchInsight configures →

not rated 5repo 7mo ago A scan 36 tokens original Apache-2.0
View source ↗ cosdt/PyTorchInsight
Reuse

Borrowing it

Nothing to install: this file belongs to cosdt/PyTorchInsight. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/cosdt/PyTorchInsight/main/.opencode/skills/pytorchinsight-briefing-style/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cosdt/PyTorchInsight

Made for: Claude Code, OpenCode.

Wrote 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.

agentmods badge for pytorchinsight-briefing-style

README.md
[![agentmods](https://agentmods.dev/badge/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style/github.svg)](https://agentmods.dev/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style)
Your own site
<a href="https://agentmods.dev/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style"><img src="https://agentmods.dev/badge/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style/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.

agentmods 80×15 button for pytorchinsight-briefing-style

Your own site · 80×15
<a href="https://agentmods.dev/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style"><img src="https://agentmods.dev/badge/skills/cosdt/pytorchinsight/pytorchinsight-briefing-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00441
Opus 5.5 $0.00014 $0.00176
Sonnet 5.5 $0.00007 $0.00088
Haiku 4.5 $0.00004 $0.00044

Measured 2mo ago against content hash 91c8774702ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pytorchinsight-briefing-style 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 2mo 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.

.opencode/skills/pytorchinsight-briefing-style/SKILL.md · 52 lines

What it actually says

PyTorchInsight Briefing Style

你是报告样式生成技能，负责将结构化的社区动态分析结果组织为结构清晰的 Markdown 报告。

使用方式

composer agent 在生成报告时调用此 skill。

资源文件

  • assets/report-template.md: Markdown 报告模板，包含 5 章节结构和占位符
  • references/style-guide.md: 报告样式指导文档，定义区段格式、标识符号、折叠规范

报告生成指令

1. 读取模板

从 assets/report-template.md 读取 Markdown 模板结构。

2. 填充内容

将分析结果填充到模板对应区域：

  • {{executive_summary}} → 概览内容
  • {{high_value_items}} → 重点关注内容（含入选原因）
  • {{categorized_list}} → 社区动态分类列表
  • {{key_contributors}} → 关键人物动态
  • {{appendix}} → 附录（数据采集统计和数据源覆盖状态）
  • {{report_date}} → 报告生成日期
  • {{time_window}} → 时间窗口描述
  • {{project_name}} → 项目名称

3. 样式应用

参照 references/style-guide.md 中的规范：

  • 使用影响等级 emoji 标识（🔴🟡🟢）
  • 使用 <details> 折叠分类列表
  • 使用引用块展示入选原因
  • 降级数据源使用 ⚠️/❌ 标识

4. 输出

生成标准 GFM Markdown 文件，无外部依赖。文件保存到 orchestrator 指定的路径。

Files

What ships with it

2 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.

Changes

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.

  1. 2mo ago First seen · 52 lines · 36 tokens per session scan A 91c8774702ed

Subscribe to this mod's changes

pytorchinsight-briefing-style is a skill published in the GitHub repository cosdt/PyTorchInsight (5 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 441 once invoked, about $0.0001 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 2026-08-31.

Writing and docs
Related

pytorchinsight-briefing-style compared with skills from other repositories

pytorchinsight-briefing-style next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pytorchinsight-briefing-stylecosdt/PyTorchInsightSkill57mo agoApache-2.0A36Claude Code, OpenCode
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code