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 leecyno1/boutique-skills --skill dasheng-brief-buildergit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/dasheng-brief-builder)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-brief-builder"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-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.
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/dasheng-brief-builder"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/dasheng-brief-builder.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 | $0.00053 | $0.01748 |
| Opus 5 | $0.00026 | $0.00874 |
| Sonnet 5 | $0.00011 | $0.00350 |
| Haiku 4.5 | $0.00005 | $0.00175 |
Grade A, and why
dasheng-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.
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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dasheng Brief Builder - Brief 生成层 v3
定位
本 Skill 职责单一：Topic Cluster/Intake Record → Content Brief
不负责：
- 采集
- 聚类
- 最终选题定稿
- 素材补全
- 初稿生成
输入契约
Brief Request
brief_request:
request_id: string # 格式：brief-{timestamp}-{uuid}
input_type: "cluster" | "intake" # 输入类型
input_data: Topic Cluster | Topic Intake Record
account_positioning: string # 可选，账号定位
content_goal: string # 可选，内容目标
created_at: timestamp
输出契约
Content Brief（内容 Brief）
content_brief:
# ============ 标识字段 ============
brief_id: string # 格式：brief-{YYYYMMDD-HHMMSS}-{uuid}
# ============ 话题信息 ============
topic_name: string # 话题名称
core_judgment: string # 核心判断（一句话观点）
# ============ 内容策略 ============
target_audience: string # 目标受众
article_goal: string # 文章目标（增长/认知/转化等）
angle_candidates: [string] # 可写角度（3-5 个）
recommended_angle: string # 推荐角度
# ============ 媒介推荐 ============
recommended_media: [string] # 推荐媒介（article/video/infographic/mixed）
platform_adaptation: # 平台适配性
douyin: "high" | "medium" | "low"
xhs: "high" | "medium" | "low"
bili: "high" | "medium" | "low"
wb: "high" | "medium" | "low"
x: "high" | "medium" | "low"
# ============ 风险评估（简化版） ============
risk_assessment:
content_sensitivity: "low" | "medium" | "high" # 内容敏感性
evidence_quality: "low" | "medium" | "high" # 证据质量
platform_compliance: "low" | "medium" | "high" # 平台合规性
risk_notes: string # 风险说明
improvement_suggestions: [string] # 改进建议
# ============ 生产价值评分（简化版） ============
production_value_score: number # 0-100
score_breakdown:
content_depth: number # 内容深度（角度数量）
media_diversity: number # 媒介多样性
audience_reach: number # 受众覆盖面
# ============ 来源信息 ============
source_summary:
source_mode: "auto" | "manual" | "clustered"
cluster_id: string # 如果是聚类模式
cluster_size: number # 簇内 Intake Record 数量
platform_distribution: # 平台分布
douyin: number
xhs: number
...
representative_sources: # TOP 3 参考选题
- intake_id: string
url: string
title: string
# ============ 元数据 ============
next_step: string # material-pack-builder|media-planner|archived
created_at: string # 创建时间（ISO 8601）
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.
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 · 244 lines · 53 tokens per session scan A 902801c9b70b
dasheng-brief-builder is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 1,748 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.
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