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 zhuanggenhua/BoardGame --skill spec-stewardgit clone --depth 1 https://github.com/zhuanggenhua/BoardGameWrote 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/zhuanggenhua/boardgame/spec-steward)<a href="https://agentmods.dev/skills/zhuanggenhua/boardgame/spec-steward"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/spec-steward/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/zhuanggenhua/boardgame/spec-steward"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/spec-steward.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 | $0.00050 | $0.02402 |
| Opus 5 | $0.00025 | $0.01201 |
| Sonnet 5 | $0.00010 | $0.00480 |
| Haiku 4.5 | $0.00005 | $0.00240 |
Grade A, and why
spec-steward 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 3d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Steward(仓库管家)
保证对 .spec/ 的任何改动都放对位置、格式合规、索引与名册同步,并在开发完成后把“改了什么、为什么”沉淀回知识库。
本技能不复述业务规范;权威在 .spec/AGENTS.md、knowledge/README.md、rules/system.md 和对应 skill 正文。
何时使用
- 新增 / 修改 / 删除一个子 Agent、Skill、知识文档或规则时。
- 完成一处代码 / 设计改动后,要把它沉淀进
knowledge/时。 - 不确定某份内容该放哪(rules / standards / features / agents / skills / decisions)时。
- 需要清理 AI 文档冗余、降低误读、压缩长规则或做全量自查时。
- 用户问“规范有没有问题 / 规范的规范有没有问题 / 要不要更新规范”时,先定位对应规范责任,而不是默认进入全量整理。
前置条件
- 能随时查阅
.spec/AGENTS.md(调度核心、宿主差异)与knowledge/README.md(知识导航)。 - 改动目标明确(知道要加 / 改 / 删什么)。
操作步骤
流程 A · 维护结构(新增 / 修改 / 删除能力)
- 判类型——这份内容属于哪一类:
- 禁止碰什么(护栏)→
rules/(硬规则在rules/system.md,无 frontmatter) - 怎么做(流程 / 规范)→
knowledge/standards/(见knowledge/README.md) - 某功能的设计 / 记录 →
knowledge/features/<领域>/...(见knowledge/README.md) - 一个职能角色 →
agents/(先过.spec/AGENTS.md的准入口径,再照reviewer范例写) - 可复用方法 →
skills/<name>/SKILL.md(目录名即 skill 名;description 只写触发条件,不概括流程) - 决策原因 →
decisions/(ADR,只记录为什么)
- 禁止碰什么(护栏)→
- 放对位置 + 命名:
- agent 文件:
<name>.agent.md - skill 目录:
skills/<name>/SKILL.md - knowledge 文档:kebab-case,放在
standards/或features/
- agent 文件:
- 写 frontmatter:
- agents:仅
name+description - skills:仅
name+description - knowledge:
name+description+metadata(type/status) - rules / decisions:无 frontmatter
- agents:仅
- 同步登记:
- 加 / 删子 Agent → 更新
.spec/AGENTS.md子 Agent 名册与宿主差异表 - 加 / 删知识文档 → 更新
knowledge/README.md - 加 / 删 ADR → 更新
decisions/README.md - 改动影响调度 → 更新
.spec/AGENTS.md调度核心
- 加 / 删子 Agent → 更新
流程 B · 沉淀知识(改动完成后)
- 一句话总结:这次改了什么、为什么。
- 判断文档归属:
- 影响开发流程 / 规范 → 更新
knowledge/standards/对应文件。 - 影响功能设计 → 找
knowledge/features/对应文档;有就更新,没有就从_TEMPLATE.md新建。 - 决策 →
decisions/新增 ADR。 - 复发问题 / 踩坑经验 → 追加进
knowledge/lessons.md。
- 影响开发流程 / 规范 → 更新
- 更新正文:只保留当前有效内容,交付历史不入库(git 提交即历史)。
- frontmatter
status只能取枚举:设计中/实施中/已交付/历史归档;description保持一句话。 knowledge/README.md导航行来源于 frontmatterdescription,同一句话口径。- 待执行事项走任务卡,不堆进知识库。
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.
- 3d ago Changed · +1 lines 099df3902977
- 6d ago Changed · +25 lines 9ebea6b8357e
- 11d ago First seen · 106 lines · 50 tokens per session scan A 0216134a9b59
spec-steward is a skill published in the GitHub repository zhuanggenhua/BoardGame (23 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 2,402 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.
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