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content-brief-builder

content-brief-builder is a skill for Claude Code, Codex from leecyno1/boutique-skills. It costs 67 tokens per session (1,578 once invoked), scanned A, original, MIT.

A content-planning system that turns collected or manually proposed topics into structured briefs for different media formats.

In plain words
What is it for?
It is for preparing content tasks, recommending articles, videos, graphics, or mixed formats, scoring production value, and saving briefs in Feishu documents.
Why use it?
It brings topic grouping, audience and angle planning, evidence checks, risk assessment, and production scoring into one workflow.

Skill for Claude CodeCodex

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

not rated 5repo today A scan 67 tokens original MIT

Good fit It is for preparing content tasks, recommending articles, videos, graphics, or mixed formats, scoring production value, and saving briefs in Feishu documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/content-brief-builder
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 content-brief-builder
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 content-brief-builder

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/content-brief-builder"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/content-brief-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,578 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 $0.00067 $0.01578
Opus 5 $0.00034 $0.00789
Sonnet 5 $0.00013 $0.00316
Haiku 4.5 $0.00007 $0.00158

Measured 9d ago against content hash 601b3cc56fe7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-brief-builder 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 4 executable files (integration_example.py, manual_source_summary_init.py, risk_assessment_algorithm.py, …), 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/content-brief-builder/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Brief Builder

目标

将原始主题输入转化为可复用、可跨媒介消费的 Content Brief。

输入

  1. Topic Intake Record
  2. 可选的原始采集记录集合
  3. 可选的账号定位 / 内容目标
  4. 可选的人工补充说明

工作流

  1. 若输入来自自动采集，先进行聚类、归并、去重。
  2. 若输入来自人工命题，先整理主题、意图、受众、内容目标。
  3. 统一提炼：主题定义、核心判断、核心冲突、角度候选、风险边界。
  4. 动态风险评估（已实现）：
    • 分析内容类型敏感性（教育/财务/医疗等 +20分）
    • 评估目标受众脆弱性（未成年人/特殊群体 +15分）
    • 检查媒介平台政策限制（+10分）
    • 识别声明中的绝对化表述（过度承诺/虚假宣传 +15分）
    • 评估数据证据质量（缺少证据/过时数据 +10分）
    • 生成动态 risk_notes 和改进建议
  5. 动态计算 production_value_score（新增，使用 scoring_algorithm.py）：
    • 基础分：50 分
    • 角度数量奖励：每个角度 +10 分（最多 +30）
    • 媒介数量奖励：每个媒介 +5 分（最多 +25）
    • 复杂度奖励：low +0, medium +10, high +15
    • 风险惩罚：low -0, medium -5, high -15
    • 目标受众奖励：每个受众 +3 分（最多 +15）
    • 最终评分范围：0-100
  6. 给出推荐媒介类型：文章、视频、图文或混合。
  7. 初始化 source_summary（已实现）
    • 自动采集模式：从 intake_refs 提取来源分布
    • 人工命题模式：初始化为 { "manual_input": 1 } + 生成 manual_ref_id
  8. 生成 Content Brief，并建议写入飞书文档保存为长期资产。

输出契约

  1. Brief Summary
  2. Angle Candidates
  3. Recommended Angle
  4. Production Value Score（动态计算，0-100）
  5. Recommended Media
  6. Risk Assessment（包含 risk_notes 和改进建议）
  7. Content Brief（含完整的 source_summary）
  8. Next Recommended Step

生产价值评分算法

评分公式

最终评分 = 基础分 + 角度奖励 + 媒介奖励 + 复杂度奖励 + 受众奖励 - 风险惩罚

评分组件详解

组件 基础值 规则 最大值
基础分 50 固定 50
角度奖励 - 每个角度 +10 +30
媒介奖励 - 每个媒介 +5 +25
复杂度奖励 - low +0, medium +10, high +15 +15
受众奖励 - 每个受众 +3 +15
风险惩罚 - low -0, medium -5, high -15 -15

评分示例

低复杂度内容（1 角度，1 媒介，低风险，1 受众）

50 + 10 + 5 + 0 + 3 - 0 = 68/100

高复杂度内容（3 角度，3 媒介，高风险，3 受众）

50 + 30 + 15 + 15 + 9 - 15 = 104 → 100/100（截断）

source_summary 初始化规则

自动采集模式（source_mode: 'auto'）

source_summary:
  source_distribution:
    xhs: 2          # 来自小红书的采集数
    weibo: 1        # 来自微博的采集数
    ...
  representative_sources:
    - "https://www.xiaohongshu.com/explore/..."
    - "https://weibo.com/..."

人工命题模式（source_mode: 'manual'）

source_summary:
  source_distribution:
    manual_input: 1
  representative_sources:
    - "manual_topic_20260315_001"  # 格式：manual_topic_YYYYMMDD_XXX

Read the full file on GitHub · 165 lines

Files

What ships with it

12 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 · 165 lines · 67 tokens per session scan A 601b3cc56fe7

Subscribe to this mod's changes

content-brief-builder is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 1,578 once invoked, about $0.0003 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.

PlanningWriting and docs
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