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 protect-my-hair/nucleus-marketplace --skill feature-implementationgit clone --depth 1 https://github.com/protect-my-hair/nucleus-marketplaceWrote 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/protect-my-hair/nucleus-marketplace/feature-implementation)<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/feature-implementation"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/feature-implementation/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/protect-my-hair/nucleus-marketplace/feature-implementation"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/feature-implementation.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 | $0.00021 | $0.00995 |
| Opus 5 | $0.00010 | $0.00498 |
| Sonnet 5 | $0.00004 | $0.00199 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
feature-implementation 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Implementation
核心原则
只实现当前特性实施计划覆盖的内容。
实施计划声明 uiDesign.applicability=required 时,未读取 UI 设计源、Pencil frame / UI 状态映射、公共组件 / 公共样式契约和视觉证据要求前,不得写 UI 相关源码或样式。
实施计划声明 uiDesign.applicability=candidate-found 时,未取得候选设计源是否相关的人工计划确认前,不得写 UI 相关源码或样式;确认相关后必须回到实施计划补齐 required 级 frame 映射和视觉证据。
实施计划缺少 developmentSpecs,或 developmentSpecs.status=missing 但没有人工计划明确接受 setup gap / 先补齐 docs/specs/** 的结论时,不得写源码、测试或样式。
实施计划缺少 specAnchor,或没有从磁盘重读 .nucleus/runs/<workflowRunId>/spec-anchor.json 及其 sourceEvidencePaths,或 specAnchor.status 不是 ready 且没有人工计划明确接受 gap 时,不得写源码、测试或样式。
行为纪律
- 先读取当前 featurePath、特性设计评审事实、实施计划确认事实、实施计划和测试计划;人工事实必须来自对话、PMS 状态或明确审批上下文,不能来自
summary.md、result.json、candidate 或 multi-review report。 - 每次进入实现、上下文压缩后恢复、切换 task、写源码前、写样式前、写 UI 前,都必须重读实施计划的
specAnchor、.nucleus/runs/<workflowRunId>/spec-anchor.json和其中sourceEvidencePaths;不得把对话摘要当成 specs 或 UI 设计事实。 - 写任何源码、测试或样式前,先执行 pre-edit gate:确认当前 task 的 planned files、适用 rule id、acceptance、evidence 和 verify command;缺任一项时回到实施计划评审。
- 读取实施计划的
developmentSpecs和.nucleus/runs/<workflowRunId>/development-specs-evidence.json;存在docs/specs/rules/**时,先读适用规则再改代码;缺失时,先补齐规范或取得人工计划豁免。 - 只修改实施计划声明的代码区域、测试区域和文档区域。
- 代码、测试和文档改动必须能回指当前 featurePath。
- 写 UI 前必须读取实施计划的
uiDesign、.nucleus/runs/<workflowRunId>/ui-design-evidence.json、对应 Pencil frame / 用户设计稿、相邻页面、公共组件、公共 CSS / token 或页面级样式;candidate-found必须先取得人工相关性结论;没有设计源时,也必须按现有公共组件和既有样式实现。 - UI 实现后必须产出计划声明的截图、Pencil frame 对照、人工视觉证据或等价报告;缺证据时不得声称完成。
- 开发完成前必须执行 completion gate:按 changed files 重新计算 applicable rules -> evidence coverage;缺 blocking rule 证据、UI frame 未覆盖或 factsManifestHash stale 时不得触发完成评审。
- 发现计划不成立、依赖缺失或 scope 变化时停住,回到计划或设计评审节点。
- 开发完成后必须触发
multi-review,覆盖 code-review、方案一致性和计划满足度。
禁止
- 顺手做无关重构。
- 合并多个特性的实现。
- 在计划外写接口、数据结构、权限或外部依赖。
- 忽略
docs/specs/**规范事实源,或把规范缺失当作无约束。 - 依赖压缩后的对话摘要继续实现,而不重读
specAnchor.sourceEvidencePaths。 - 使用未确认存在的 CSS 类、跳过公共页面布局 / 组件模式,或在有 Pencil 设计源时只按个人判断重画界面。
- 用测试通过替代设计一致性和计划满足度评审。
- 创建、批准、合入或发布 MR/PR。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 48 lines · 21 tokens per session scan A 32ab90f4d781
feature-implementation is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 995 once invoked, about $0.0001 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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