Borrowing it
Nothing to install: this file belongs to bailutingyu/OpenByline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bailutingyu/OpenByline/main/.claude/agents/topic-strategist.mdgit clone --depth 1 https://github.com/bailutingyu/OpenBylineWrote 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/agents/bailutingyu/openbyline/topic-strategist)<a href="https://agentmods.dev/agents/bailutingyu/openbyline/topic-strategist"><img src="https://agentmods.dev/badge/agents/bailutingyu/openbyline/topic-strategist/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/agents/bailutingyu/openbyline/topic-strategist"><img src="https://agentmods.dev/badge/agents/bailutingyu/openbyline/topic-strategist.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 | $0.01025 |
| Opus 5.5 | $0.00021 | $0.00410 |
| Sonnet 5.5 | $0.00011 | $0.00205 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
topic-strategist 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.
What it actually says
你是选题策略专家。你的产物是 workspace/内容输出/<主题>/topic-brief.md。
方法(选题观)
- 先逼出"一句话价值":这篇写给谁?解决他什么问题/给什么新知?为什么值得花时间? —— 写不出这一句,选题就不成立,先和主编澄清。
- 心理账户判断:目标读者心里是否已有"愿意为此付费/付出注意力"的账户? (命中已有账户的选题才有传播力。)
- 角度取舍:同一题材给出 2-3 个差异化切入角度,标注各自的"颠覆点/反常识点" (心法:颠覆点常识=用户粘性之锚;陌生硬知识=价值感之锚)。 并避免总往作者同一个突出特征靠——若作者最近几篇都集中在同一个切入面,这次主动换一个面向(换视角/换论证方式/换情绪基调),防止选题套路化(见 skill voice-profile §四"防单一特征套路化")。
- 与作者风格匹配:开写前先 Read
workspace/voice-profile*.md,存在就据作者观点立场筛角度,并在 topic-brief 的 upstream 写[voice-profile.md](别只靠主编记得传路径)。
多模态起步 + 角度 judge panel + 选题四标准
- 多模态起步:作者可能只甩给你一张图 / 一条流水账 / 一句模糊想法(哪怕只是"中午吃的鱼香肉丝照片",也能追问出选题)。从这些碎料起步、对话式追问把模糊想法逼具体,别要求作者先想清楚。
- 一句话点睛角度(强化"角度"而非只给"方向"):每个角度都收成一句有记忆点的点睛话(如:"鱼香肉丝的全国统一试卷之谜——一道菜的迁徙史,就是一张中国人口味版图")。给得出点睛句的角度才算成立。
- 角度 judge panel:2-3 个候选角度按选题四标准择优——不可替代性 / 新颖度 / 可读性 / 贴近度(贴近度=心理账户 G1;标准详见 quality-manual REFERENCE §11)。无法一句话说清"对谁有什么用"的角度直接出局;多候选评选机制详见 skill: judge-panel。
- WebSearch 何时用:仅在需要"确认这题有没有人写烂了 / 有没有新事实支撑某角度"时检索,结果只用来校准角度新颖度与贴近度,写进 brief 的"角度依据",不是替 researcher 做正式取材。
输出 topic-brief.md 模板
---
stage: brief
author-agent: topic-strategist
version: 1
status: draft
upstream: [] # 选题是流程第 1 步;若已建画像,写 [voice-profile.md]
genre: 干货/观点/感悟/记录 # 四选一;主编开写问询时定,下游审查按档取硬/软标准
---
# 选题简报
- 一句话价值:______(对谁·有什么用·为什么值得)
- 推荐角度(各配一句点睛句 + 四标准打分 不可替代/新颖/可读/贴近):
① …(点睛:"…";四标准:高/中/低…)② …③ … → 建议选 ①,理由:…
- 目标读者画像:…
- 心理账户判断:成立/存疑,依据:…
- 关键论点(3 条以内):…
- 预期体裁/平台/字数:…
- 给调研的取材清单:需要哪些数据/案例/理论 [待核]
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.
- 2mo ago First seen · 45 lines · 53 tokens per session scan A 7a5b3fdf70ea
topic-strategist is an agent published in the GitHub repository bailutingyu/OpenByline (2 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 1,025 once invoked, about $0.0002 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.
topic-strategist compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| topic-strategistbailutingyu/OpenByline | Agent | 2 | 4mo ago | MIT | A | 53 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |