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 paper-explorer-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/paper-explorer-zh)<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/paper-explorer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-explorer-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/paper-explorer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/paper-explorer-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 | $0.00077 | $0.00431 |
| Opus 5 | $0.00039 | $0.00216 |
| Sonnet 5 | $0.00015 | $0.00086 |
| Haiku 4.5 | $0.00008 | $0.00043 |
Grade A, and why
paper-explorer-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。
Paper Explorer(中文,兼容入口)
这个 skill 已被 literature-scout-zh 取代。若被触发,直接按新 skill 的方式执行,不再维护旧的输入输出约定。
迁移规则
- 旧输入
seed_papers / keywords / year_range-> 新输入context_brief 或主题问题 + time_window - 旧输出
papers / clusters / overview-> 新输出evidence_map / candidate_clusters / priority_reading_queue
实际执行
- 读取
../literature-scout-zh/SKILL.md。 - 按新 skill 生成 evidence map,而不是只生成论文清单。
- 明确标注
direct / adjacent / background与support / contradiction / open gap。
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 · 24 lines · 77 tokens per session scan A 9659b748f220
paper-explorer-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 431 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.
Other skills, from other repositories
b2b-sdr-agent
Autonomous AI Sales Development Rep for B2B export — handles lead discovery, BANT qualification, multi-channel outreach (WhatsApp/Email/Telegram), CRM management, and deal pipeline tracking. Built for cross-border trade.
loop-engineering
Loop Engineering framework: design autonomous agent feedback cycles instead of hand-prompting each step.
fablize
A harness that makes any model see a task through to the end — with evidence and verification — as procedure, not as luck. Enforces verification grounding (run & observe artifacts before declaring done), multi-story decomposition with an evidence gate, a systematic investigation protocol, and early-stop prevention.…
browser-harness-ats-automation
Automate job applications on ATS platforms (Ashby, Greenhouse, Workday) using browser-use/browser-harness with CDP. Covers iframe session management, file upload, hidden checkbox handling, and known reCAPTCHA/S3 blockers.
job-scraper-pipeline
Automated ML/AI job scraping, deduplication, and gatekeeper scoring pipeline. Scrapes AI company career pages on Greenhouse, AshbyHQ, and Lever, avoids duplicates, and scores jobs 0-100 against profile keywords, classifying tier-1/2/3.
greenhouse-job-application
Automate filling job applications on Greenhouse.io and similar React-based ATS platforms via browser automation. Covers React input handling, reCAPTCHA detection, resume upload limitations, and single-expression multi-field filling.