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 literature-scout-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/literature-scout-zh)<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/literature-scout-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/literature-scout-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/literature-scout-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/literature-scout-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 | $0.00085 | $0.01458 |
| Opus 5 | $0.00043 | $0.00729 |
| Sonnet 5 | $0.00017 | $0.00292 |
| Haiku 4.5 | $0.00009 | $0.00146 |
Grade A, and why
literature-scout-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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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。
Literature Scout(中文)
这个 skill 负责“扩展检索 + 证据地图”,不是单篇精读器。
何时使用
- 已有 brief 或旧报告,需要继续找新论文和新证据。
- 要围绕一个子方向做近一年检索。
- 要找支持证据、反例、benchmark、数据集 release 状态或产业官方信号。
输入
context_brief或主题问题time_window:优先最近一年;若用户指定则按指定范围result_budget:默认只保留高价值结果source_mix:academic / industrial / official的偏好search_modefresh_scaninstitution_linecitation_neighborhooddiff_against_catalogbridge_lineartifact_hunt
输出
evidence_mapcandidate_clusterssupport_vs_contradiction_seedspriority_reading_queuemissing_from_cataloginstitution_clusterscitation_frontierroute_family_candidates
工作流
- 先从
context_brief提取方向、术语、已有结论与未解问题。 - 按 ../research-orchestrator-zh/references/source-tiering.md 选择来源优先级。
- 每条结果都要标注:
direct / adjacent / backgroundacademic / industrial / officialpublic benchmark / private data / unknown releasesupport / contradiction / open gap
- 去重后按方向聚类,而不是只给一长串论文。
- 优先输出“为什么值得继续读”的队列:哪些能直接改主稿,哪些更适合作为旁证或潜力方向。
- 如果
search_mode=diff_against_catalog,额外读取现有awesome-*.md或 curated repo 页面,识别:- 支持文档里有但 catalog 里没有
- 同一论文是否已被重复收录
- 哪些新条目只够做 watchlist
- 如果
search_mode=institution_line,优先按机构/平台/团队聚类输出,而不是只按技术树输出。 - 如果
search_mode=citation_neighborhood,优先围绕核心种子论文的引用邻域和同机构家族继续扩展。 - 如果
search_mode=bridge_line,优先找“概念桥接”论文:它们不一定是主线核心论文,但能解释两个研究家族之间的结构关系。 - 如果
search_mode=artifact_hunt,优先寻找附录、prompt template、训练表格、数据构造细节、ratio 披露和公开示例,而不只找新论文标题。
守护
- 不把搜索结果列表冒充成综合结论。
- 不因为“新”就高优先;优先级看与主题的直接性、来源可靠性与复用价值。
- 数据集、benchmark、release 状态没有明确来源时标
unknown。
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 · 107 lines · 85 tokens per session scan A 692b0a6e2e54
literature-scout-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 1,458 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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