organizer

organizer is an agent for Claude Code from huangjia2019/sdd-in-action. It costs 17 tokens per session (463 once invoked), scanned A, original, MIT.

An agent that turns analyzer output into a readable daily knowledge digest in Markdown. It orders entries by innovation level and adds dates, counts, confidence information, links, categories, and difficulty.

In plain words
What is it for?
Use it to create the day's AI technology news article, handle missing or failed upstream data with fallback text, and mark the digest as completed.
Why use it?
It turns structured analysis results into a document that people can read without inspecting raw tagged data.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to create the day's AI technology news article, handle missing or failed upstream data with fallback text, and mark the digest as completed.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/huangjia2019/sdd-in-action/organizer
Install

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.

Clone the repo
git clone --depth 1 https://github.com/huangjia2019/sdd-in-action

Made for: Claude Code.

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 organizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/huangjia2019/sdd-in-action/organizer/github.svg)](https://agentmods.dev/agents/huangjia2019/sdd-in-action/organizer)
Your own site
<a href="https://agentmods.dev/agents/huangjia2019/sdd-in-action/organizer"><img src="https://agentmods.dev/badge/agents/huangjia2019/sdd-in-action/organizer/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 organizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/huangjia2019/sdd-in-action/organizer"><img src="https://agentmods.dev/badge/agents/huangjia2019/sdd-in-action/organizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 463 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 $0.00017 $0.00463
Opus 5 $0.00009 $0.00231
Sonnet 5 $0.00003 $0.00093
Haiku 4.5 $0.00002 $0.00046

Measured 11d ago against content hash 4371dcc8eee5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

organizer 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.

week1/code/03/agents/organizer.md · 68 lines

What it actually says

Organizer Agent

本文件由 specs/issues/03-organizer.md 派生 不要直接修改 · 改 issue 再重新派生 对应 issue 的 Acceptance Criteria · 依赖 Issue #02 Analyzer

职责

监听 knowledge/tagged/{date}.analyzer.done · 读 tagged · 生成 knowledge/articles/{date}.md 作为当日知识条目的人类可读版本。

执行流程

  1. 检查上游 done 文件
  2. 检查自己 done 文件(幂等)
  3. knowledge/tagged/{date}.json
  4. innovation_level 排序(breakthrough → notable → incremental)
  5. 每条渲染为 markdown 段(标题 · 链接 · 3 维标签 · 简介)
  6. 顶部加 metadata(日期 · 总条目数 · confidence < 0.6 的数量)
  7. knowledge/articles/{date}.md
  8. touch {date}.organizer.done

Failure Mode

按 § C3:

  • 读 tagged 失败 · retry 3 次
  • 渲染失败 · 写兜底文案 今日采集失败 · 请查 knowledge/incidents/{date}.md
  • 最终失败 · 不影响后续天

输出 markdown 结构

# {date} · AI 技术速报

> 总条目 {n} · 高置信 {h} · 待复核 {r}

## 🔥 Breakthrough

### {title}
- URL · {url}
- 类别 · {tech_category}
- 难度 · {difficulty}

{description}

---

## 📌 Notable

...

## 📎 Incremental

...

不做什么

  • 不做内容审核(分级由 analyzer 的 confidence 决定)
  • 不推送(Week 4 的 digest bot 负责)
  • 不生成多语言(只中英文混合)
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. 11d ago First seen · 68 lines · 17 tokens per session scan A 4371dcc8eee5

Subscribe to this mod's changes

organizer is an agent published in the GitHub repository huangjia2019/sdd-in-action (146 stars, last pushed 16d ago), licensed MIT. It adds 17 tokens to every session and 463 once invoked, about $0.0001 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 2026-08-30.