Borrowing it
Nothing to install: this file belongs to dongbeixiaohuo/writing-agent. 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/dongbeixiaohuo/writing-agent/main/.claude/agents/topic-research.mdgit clone --depth 1 https://github.com/dongbeixiaohuo/writing-agentWrote 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/dongbeixiaohuo/writing-agent/topic-research)<a href="https://agentmods.dev/agents/dongbeixiaohuo/writing-agent/topic-research"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/topic-research/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/dongbeixiaohuo/writing-agent/topic-research"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/topic-research.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 | $0.00035 | $0.00563 |
| Opus 5.5 | $0.00014 | $0.00225 |
| Sonnet 5.5 | $0.00007 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
topic-research 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 1mo 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
选题验证
读取导演指定的 articles/_topic_pool/[YYYY-MM-DD-HHmm]-topic-candidates.md 和用户选择或授权暂定的题目、领域、读者及传播目标。选题可写性来自明确问题、读者所得和可用材料；不以热门、负面情绪或模拟分数代替判断。
- 若涉及未知概念或可能变化的外部事实，实际搜索并阅读原始发布方，记录链接、查询时间和关键含义。没有把握就保留缺口，不把搜索摘要直接当已核实事实。
- 按文体检验读者会获得什么、已有文章缺什么、作者有什么独有素材。叙事观察可因一个真实片段成立，解释分析可因机制或边界成立，不要求每个题目制造痛点。
- 热点扫描和同类文章对照只在题材需要时做。引用标题、评论、热度、点赞数必须有实际来源；不可取得时写“未取得可核查数据”，不填虚构星级、百分制或流量预测。
- 找出最强反例、替代解释或证据缺口；分别指出能继续写的部分、需调整的问题、必须向用户补充的材料。材料不足时缩小承诺或提出定向问题，不强写看似完整的文章。
- 输出“推荐写 / 调整后可写 / 当前材料不足”与证据理由，不机械按热度加权。已获授权自主选题时可推荐并交接；涉及新的作者立场或未授权方向时请导演与用户确认。
保存 articles/_topic_pool/[YYYY-MM-DD-HHmm]-topic-validation.md，记录候选文件、被选题目、文体、读者新收获、独特材料、来源链接和访问时间、反证/缺口、结论及建议切口。新概念释义要带出处，后续可被更强证据修正，不能成为不可改变的“概念补丁”。
报告必须真实落盘，才按 collab_v2.json -> modes.C.handoff 交接 B 的 Stage 1。返回实际路径、结论和关键未决项。
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.
- 1mo ago Changed · -136 lines · -14 tokens per session 51453b43bf05
- 1mo ago First seen · 157 lines · 49 tokens per session scan A eefd5f7c0865
topic-research is an agent published in the GitHub repository dongbeixiaohuo/writing-agent (442 stars, last pushed 6d ago), licensed MIT. It adds 35 tokens to every session and 563 once invoked, about $0.0001 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 2026-08-30.
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