concept-registry-maintainer-zh

concept-registry-maintainer-zh is a skill for Claude Code, Codex from gy910210/hermes-research-skills. It costs 82 tokens per session (1,112 once invoked), scanned A, original, MIT.

A Chinese-language tool for maintaining a shared register of concepts, definitions, boundaries, and maturity labels across research documents.

In plain words
What is it for?
Use it to compare concepts, mark definitions as preferred or deprecated, scan related documents, and synchronize the agreed wording across a research project.
Why use it?
It helps prevent terminology from drifting when many documents describe the same evolving topic.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare concepts, mark definitions as preferred or deprecated, scan related documents, and synchronize the agreed wording across a research project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gy910210/hermes-research-skills/concept-registry-maintainer-zh
Install

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.

Any agent
npx skills add gy910210/hermes-research-skills --skill concept-registry-maintainer-zh
Clone the repo
git clone --depth 1 https://github.com/gy910210/hermes-research-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for concept-registry-maintainer-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/gy910210/hermes-research-skills/concept-registry-maintainer-zh/github.svg)](https://agentmods.dev/skills/gy910210/hermes-research-skills/concept-registry-maintainer-zh)
Your own site
<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.

agentmods 80×15 button for concept-registry-maintainer-zh

Your own site · 80×15
<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>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,112 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash be7870da4005, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/concept-registry-maintainer-zh/SKILL.md · 101 lines

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_filesread_filewrite_filepatchsession_searchdelegate_taskcronjobbrowserweb/searchvision
  • 若正文提到 references/...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_scope
    • single_topic
    • cross_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 token
      • sample-level token
  • maturity_policy
    • 是否要求给每个概念打 成熟 / 方向中 / hypothesis / 不建议写满

输出

  • concept_registry
    • canonical_definition
    • preferred_term
    • deprecated_terms[]
    • adjacent_terms[]
    • maturity_tag
    • source_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

  1. 先读取 canonical_docs[],抽出当前最稳的定义和证据基础。
  2. 为每个目标概念建立最小注册条目:
    • preferred_term
    • one-line definition
    • layer
      • 产品层 / 能力层 / 建模层 / 系统层 / 控制层
    • maturity_tag
  3. 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
  4. 对每个冲突给出处理建议:
    • replace
    • clarify
    • downgrade
    • leave_as_historical
  5. 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 hypothesisworking 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。

Read the full file on GitHub · 101 lines

Changes

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.

  1. 12d ago First seen · 101 lines · 82 tokens per session scan A be7870da4005

Subscribe to this mod's changes

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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