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 gy910210/hermes-research-skills --skill brief-ingester-zhgit clone --depth 1 https://github.com/gy910210/hermes-research-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/gy910210/hermes-research-skills/brief-ingester-zh)<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/brief-ingester-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/brief-ingester-zh/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/gy910210/hermes-research-skills/brief-ingester-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/brief-ingester-zh.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 | $0.00071 | $0.00672 |
| Opus 5 | $0.00036 | $0.00336 |
| Sonnet 5 | $0.00014 | $0.00134 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
brief-ingester-zh 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 12d 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
Hermes 适配说明
- 本 skill 现面向 Hermes 使用，优先依赖 Hermes 原生工具：
search_files、read_file、write_file、patch、session_search、delegate_task、cronjob、browser、web/search、vision。 - 若正文提到
references/...或scripts/...，优先读取当前 skill 目录下对应文件，不再依赖 Claude 专属目录结构。 - 原始 Claude
agents/openai.yaml不作为执行前提；需要并行研究、分工精读或角色评审时，改用 Hermes 的delegate_task。 - 保留原有研究方法论与产物契约，但执行层统一按 Hermes 工具体系落地。
Brief Ingester（中文）
输入
sources[]: 本地 PDF、Markdown、txt、笔记、索引文件、旧版报告extraction_focus（可选，默认全选）概览术语表种子来源已有结论未解问题文件角色版本链约束与偏好数据与基准引用提取
language: 固定中文
输出
context_brief- 字段契约见
../research-orchestrator-zh/references/artifact-contracts.md
- 字段契约见
工作流
- 先盘点输入材料的类型与角色：索引、主稿、增量稿、专题稿、附录、图示版或笔记。
- 对 Markdown 优先抽取目录、标题层级、引文链接与“下一版建议”；对 PDF 优先抽取标题、摘要、目录、结论、参考文献。
- 归纳当前项目已形成的主线、已有结论与仍未解决的问题。
- 提取种子论文、关键 benchmark、官方来源与用户偏好的写作/输出习惯。
- 识别版本链：哪些文件是旧版、哪些是成熟主稿、哪些是增量或专题。
- 输出统一的
context_brief，并尽量为关键事实附文件路径、段落或页码线索。
守护
- 不用全文摘录替代摘要；只保留后续研究真正需要的结构化信息。
- 不确定的文件角色要标注
待确认，不要强行归类。 - 发现旧文件之间结论冲突时，先记录到
open_questions，交给后续审校环节处理。
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.
- 12d ago First seen · 45 lines · 71 tokens per session scan A d81b1cae61ad
brief-ingester-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 672 once invoked, about $0.0004 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 2026-08-31.
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