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 concept-registry-maintainer-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/concept-registry-maintainer-zh)<a href="https://agentmods.dev/skills/gy910210/hermes-research-skills/concept-registry-maintainer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/concept-registry-maintainer-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/concept-registry-maintainer-zh"><img src="https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/concept-registry-maintainer-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 | $0.00082 | $0.01112 |
| Opus 5 | $0.00041 | $0.00556 |
| Sonnet 5 | $0.00016 | $0.00222 |
| Haiku 4.5 | $0.00008 | $0.00111 |
Grade A, and why
concept-registry-maintainer-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 — 101 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。
Concept Registry Maintainer(中文)
这个 skill 负责维护“概念注册表”,不是普通的边界辨析。
如果 concept-boundary-analyzer-zh 回答的是:
- A 和 B 的边界是什么;
- 这是产品概念、系统概念还是能力概念;
那么本 skill 负责回答:
- 这套定义现在应该怎样固化成长期口径;
- 哪些文档还在使用旧定义;
- 哪些结论应该降级成 hypothesis;
- 哪些概念需要建立
preferred / deprecated / adjacent关系。
何时使用
- 你已经完成了一轮概念辨析,想把新定义稳定写进主稿、专题稿、资源页。
- 最近多轮调研后,同一概念在不同文档里出现了不同说法。
- 你担心“主稿、专题稿、awesome 页面、技术方案”之间开始概念漂移。
- 你想给一个方向建立长期可维护的 glossary / concept registry。
输入
registry_scopesingle_topiccross_topic
canonical_docs[]- 当前最想作为“定义基准”的文档
related_docs[]- 需要扫描和同步的文档
concept_targets[]- 例如:
AI 搜Agentic Search生成式能力生成式搜推路线sparse/control tokensample-level token
- 例如:
maturity_policy- 是否要求给每个概念打
成熟 / 方向中 / hypothesis / 不建议写满
- 是否要求给每个概念打
输出
concept_registrycanonical_definitionpreferred_termdeprecated_terms[]adjacent_terms[]maturity_tagsource_basis
concept_drift_report- 哪些文档仍在使用旧口径
- 哪些地方把 hypothesis 写成了结论
- 哪些地方术语未统一
sync_recommendations- 该并回哪些文档
- 该只更新 glossary 还是应该改正文
工作流
- 先读取
canonical_docs[],抽出当前最稳的定义和证据基础。 - 为每个目标概念建立最小注册条目:
preferred_termone-line definitionlayer- 产品层 / 能力层 / 建模层 / 系统层 / 控制层
maturity_tag
- 再扫描
related_docs[],识别:- 仍在用旧术语的地方
- 定义冲突
- 成熟度冲突
- 结论写满的问题
- 对每个冲突给出处理建议:
replaceclarifydowngradeleave_as_historical
- 如果主题属于长期主线,建议把注册表同步到:
- 主稿
- 相关专题稿
- 增强版资源页 / awesome 页
- 技术方案稿
守护
- 不把“概念口径统一”误做成“大面积重写文风”。
- 如果新定义证据仍弱,只能注册为
hypothesis或working definition。 - 优先维护
preferred_term,不要强行删除历史术语;可保留“旧称/旧用法”。 - 概念注册表不等于结论注册表:定义稳定,不代表方向已经成熟。
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 · 101 lines · 82 tokens per session scan A be7870da4005
concept-registry-maintainer-zh is a skill published in the GitHub repository gy910210/hermes-research-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 82 tokens to every session and 1,112 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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