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 BuildrAI/Buildr --skill terminology-governancegit clone --depth 1 https://github.com/BuildrAI/BuildrWrote 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/buildrai/buildr/terminology-governance)<a href="https://agentmods.dev/skills/buildrai/buildr/terminology-governance"><img src="https://agentmods.dev/badge/skills/buildrai/buildr/terminology-governance/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/buildrai/buildr/terminology-governance"><img src="https://agentmods.dev/badge/skills/buildrai/buildr/terminology-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00803 |
| Opus 5 | $0.00031 | $0.00402 |
| Sonnet 5 | $0.00012 | $0.00161 |
| Haiku 4.5 | $0.00006 | $0.00080 |
Grade A, and why
terminology-governance 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 4d 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
术语治理
本 Skill 是 buildr.terminology-governance/v1 的默认 provider。它维护人和 Agent 共用的长期术语边界,不负责替代领域建模、OpenSpec 规范或用户对长期语义的最终判断。
1. 解析范围与权威来源
- 读取 runtime binding 中的 contract、Workspace 与明确 Project context;不得按当前目录猜测 Project。
- Project canonical glossary 固定解析为
<project-root>/knowledge/glossary.md。Service 特有术语可以位于<project-root>/knowledge/services/<service-code>.md的“局部术语”小节。 - Task 不创建独立 glossary。Project term 优先于 Service 局部表达;Service 若有不同含义,必须显式说明作用域及与 Project term 的关系。
- 按 canonical specs、当前实现/registries、current knowledge、active Change artifacts、已确认用户决定的顺序调查;archive 只用于追溯理由。
2. 先调查再询问
对本次术语集合检查:canonical 名称、中文/英文、定义、作用域、同义词、一词多义、翻译差异、新概念、过时别名和所有权边界。
可从代码和资产确认的内容由 Agent 自行调查,不询问用户。只有不同答案会改变长期领域模型、公开产品模型、数据语义、作用域、所有权或责任边界时才提出最少问题。难以逆转的决定建议进入当前 OpenSpec design 或 ADR;不强制固定 ADR 工具。
3. 维护 canonical terms
只有 consumer 已授权当前任务范围内的 knowledge 写入,且定义已确认时才能写入。Project glossary 条目至少包含:
## <中文名称>(<English Name>)
- 定义:...
- 适用范围:...
- 避免混用:...
- 来源:...
没有已确认长期术语时不得为形式完整创建空 glossary。位于 Workspace 的普通文件、依赖、临时内容或本机配置不会因此自动成为 Buildr Work Asset;任务使用的数据库/API/网页结果也不会自动进入 glossary。
4. 返回结果
返回:
status: aligned | updated | unresolved | not-applicable
termsConsulted: <核对的术语>
canonicalTerms: <名称、定义与 scope>
changedAssets: <实际修改路径;无则 none>
unresolvedConflicts: <冲突与最少决策问题;无则 none>
sourceIdentities: <spec/change/file/tree identities>
aligned 表示已核对且无需写入,updated 表示确认后的 canonical 资产已更新,unresolved 必须阻塞 required consumer,not-applicable 表示当前工作没有长期术语影响。不得把 provider readiness 或文件存在误报为本次行为成功。
Guardrails
- 不把 glossary 当作规范行为事实源。
- 不把所有对话用词机械写入长期资产。
- 不修改 archived Change,不在 archive 后补写术语。
- 不把
rg、grep、SQL、语义检索、MCP 或任一工具固化为 Context 模型。 - 不因 Skill id、description 相似或安装顺序猜测 provider/consumer 关系。
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.
- 4d ago Changed · -1 lines ef48de8ed3f1
- 12d ago First seen · 61 lines · 62 tokens per session scan A 9fbdfd890782
terminology-governance is a skill published in the GitHub repository BuildrAI/Buildr (24 stars, last pushed 3d ago), licensed MIT. It adds 62 tokens to every session and 803 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…