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dasheng-daily-intake

dasheng-daily-intake is a skill for Claude Code, Codex from leecyno1/boutique-skills. It costs 49 tokens per session (1,012 once invoked), scanned A, original, MIT.

A research-collection workflow for gathering recent topics from several channels, saving their details locally, and producing a report of the most important and repeated subjects. It limits collection to the previous 24 hours.

In plain words
What is it for?
Use it to collect social and web topics, merge repeated items, rank them by heat, and create JSON and Markdown reports for later editorial work.
Why use it?
It helps turn scattered source material into a traceable topic list with links, timestamps, channel counts, and duplicate matching.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo yesterday A scan 49 tokens original MIT

Good fit Use it to collect social and web topics, merge repeated items, rank them by heat, and create JSON and Markdown reports for later editorial work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/dasheng-daily-intake
View source ↗ leecyno1/boutique-skills
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.

Any agent
npx skills add leecyno1/boutique-skills --skill dasheng-daily-intake
Clone the repo
git clone --depth 1 https://github.com/leecyno1/boutique-skills

Made for: Claude Code, Codex.

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 dasheng-daily-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-daily-intake/github.svg)](https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-daily-intake)
Your own site
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-daily-intake"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-daily-intake/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 dasheng-daily-intake

Your own site · 80×15
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-daily-intake"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-daily-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,012 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 $0.00049 $0.01012
Opus 5 $0.00024 $0.00506
Sonnet 5 $0.00010 $0.00202
Haiku 4.5 $0.00005 $0.00101

Measured 9d ago against content hash a7ede4b25da0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dasheng-daily-intake 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (index.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/default/dasheng-daily-intake/SKILL.md · 112 lines

What it actually says

dasheng-daily-intake（Final）

1) 定位

daily intake 是采集阶段唯一入口，只负责：

  1. 四渠道采集（5173 / 18080 / 8001 / web）
  2. 底层数据库沉淀（JSON 本地落盘）
  3. 采集报告生成（热度筛选 + 重复归并 + 渠道汇总）
  4. 群交付（文档 + 截图 + JSON 路径）

边界固定：

  • intake = 收
  • clustering = 并
  • brief = 定

intake 不负责 clustering / brief 的执行。

2) 采集输入（硬约束）

时间窗口（统一约束）

  • 所有渠道仅采集过去 24 小时内容。
  • 条目不够时允许不足，禁止补旧内容凑量。

渠道规则

  • 5173：xhs / douyin / bili / wb / x（仅 24h）
  • 18080：只采集微信公众号文章（仅 24h），不采集其他平台内容
  • 8001：微信公众号缓存（仅 24h）
  • web：当天外部热点补充（仅 24h，若不足可为空）

3) 底层数据库（下游对接接口）

必须落地本地 JSON，并作为下一环节输入接口。

必交付文件

  • raw-topic-items.json（底层原子条目）
  • intake-records.json（标准化条目）
  • topic-merge-map.json（重复归并映射）
  • intake-report.md（采集报告正文）

最小字段（raw-topic-items）

  • item_id
  • source_system（5173/18080/8001/web）
  • source_platform
  • source_group
  • title
  • origin_url
  • publish_time
  • heat_score
  • dedupe_key
  • crawl_time

质量闸门

  • 所有入选报告条目必须带原链接
  • 所有渠道必须满足“24小时窗口”
  • 下游接口默认读取 intake-records.json

4) 采集报告（必须可审）

报告按热度筛选并做重复归并，输出“主要题目池”。

必含结构

  1. 今日采集总览（总量、分渠道数量）
  2. 热度 Top 题目（跨渠道合并后）
  3. 重复归并结果（同题异源合并）
  4. 每个入选题目：
    • 标题
    • 来源链接（可多条）
    • 入选原因（热度、时效、跨平台共振、可写性）
  5. 各渠道汇总小结：5173 / 18080 / 8001 / web

5) 群交付（编辑审核）

目标群：oc_975d43c5704bf8c755bb9e32bf7c3922

每次 intake 完成后必须发送以下内容：

  1. 采集报告（飞书文档链接）
  2. 5173 截图：数据分析页切到 context、search 任务组热榜内容图
  3. 18080 截图：reports 页面生成图
  4. 8001 截图：微信公众号标签下文章列表图
  5. 底层 JSON 路径回执：至少 raw-topic-items.json、intake-records.json

6) 发布前校验（未通过禁止报完成）

  1. 报告文档非空，且包含“主要题目 + 入选原因 + 链接”
  2. 三张截图齐全（5173 / 18080 / 8001）
  3. 底层 JSON 存在且可读
  4. 群消息必须包含 JSON 路径
  5. 报告明确标注“仅过去24小时；条目不足不补量”

一句话：

daily intake = 四渠道采集（统一24h） -> 底层JSON入库 -> 热度归并报告 -> 文档+截图+JSON路径发群审核。

Files

What ships with it

3 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. 9d ago First seen · 112 lines · 49 tokens per session scan A a7ede4b25da0

Subscribe to this mod's changes

dasheng-daily-intake is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,012 once invoked, about $0.0002 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 2026-09-03.

Analytics and metricsResearch
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