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 agentmods add skills/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-fenpx skills add movebrickschi/harness-engineering-mcp --skill dev-flow-oneliner-fegit clone --depth 1 https://github.com/movebrickschi/harness-engineering-mcpWrote 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/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-fe)<a href="https://agentmods.dev/skills/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-fe"><img src="https://agentmods.dev/badge/skills/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-fe.svg" alt="Measured on agentmods" 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 | $0.00127 | $0.01282 |
| Opus 5 | $0.00063 | $0.00641 |
| Sonnet 5 | $0.00025 | $0.00256 |
| Haiku 4.5 | $0.00013 | $0.00128 |
Grade A, and why
dev-flow-oneliner-fe 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 5d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dev-flow-oneliner-fe
适用场景
- "把列表加个状态筛选"、"按钮文案改一下"、"加个空态" 这类前端微需求
- PM/用户提供的信息少于 1 段话
- 预估 4 小时内可完成(>8 工时强制升级
/dev-flow-doc-fe)
前置条件
确认 _playbook.md Part B.3 启动参数;one_liner 必填。
流程步骤
阶段 0 · 上下文初始化
move_agent_to_root 进项目;建知识库目录但 META.md 用极简版(只填 feature_name + one_liner + target_project)。
阶段 1 · 一句话补 PRD
SwitchMode→ plan- 用
/office-hours6 问视角把"一句话"撑成迷你 PRD:- 触发场景 / 用户预期 / 边界 / 错误 / 视觉规范 / 是否有依赖
- 输出
MINI_PRD.md(1–2 页足矣) - 强制规模门槛检查:若拆解后估算 >8 工时,升级到
/dev-flow-doc-fe并退出本 skill
阶段 2 · 卡点 1(轻量版)
prompt: "已把一句话补成迷你 PRD(MINI_PRD.md),请确认理解正确:"
options:
- "理解正确,进入实现"
- "需要修改(说明)"
- "实际比想的复杂,建议升级到 dev-flow-doc-fe"
阶段 3 · 项目勘察(精简,1 个 subagent)
只派 1 个 explore subagent:找出待修改文件 + 1 个最相似的已存在改动 commit 作为风格参考。输出极简 REUSE_AUDIT.md(半页)。
阶段 4 · 方案设计(精简)
git checkout -b feature/[feature]IMPLEMENTATION_PLAN.md半页:影响文件 + 改动要点 + 是否需要新增 API 字段/plan-eng-review可跳过(小改动),但任何 UI 改动必须/plan-design-review- 卡点 2(按 _playbook.md Part B.2,可与卡点 1 合并为一次询问)
阶段 5 · 实现 + 自查
- 直接改 +
frontend-agent(小改动可在主线程做) - 完成后跑
/qa(quick 模式)+/review - 若 UI 改动 →
/design-review
阶段 6 · 上线
/ship(PR 描述带 MINI_PRD.md 链接)→ /land-and-deploy → /canary。
阶段 7 · 复盘(极简)
append _lessons.md 一行:场景 + 实际工时 + 是否触发升级阈值。
错误处理
- 估算超过 8 工时 → 强制升级
/dev-flow-doc-fe,不允许"轻量化绕过" - 实现中发现需要后端改动 → 暂停,升级到
/dev-flow-oneliner-full - 影响范围超出 1 个文件 / 1 个组件 → 升级
/dev-flow-doc-fe
产物清单
META.md(极简版)、MINI_PRD.md、REUSE_AUDIT.md(半页)、IMPLEMENTATION_PLAN.md(半页)、PR 链接。
支持的修饰符
- M1 带设计稿 → 阶段 4 必做
/plan-design-review,阶段 5 必做/design-review - M2 无设计稿 → 阶段 4 加一次"视觉规范确认"问答(参考已有页面色板/间距/字号)
详细 delta 见 _playbook.md Part D。
与其他 skill 的关系
- 通常被
/dev-flow路由到(也可被用户直接触发) - 任意一处升级条件触发 → 退出 → 调用
/dev-flow-doc-fe - 上线链:
/ship、/land-and-deploy、/canary
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.
- 5d ago First seen · 100 lines · 127 tokens per session scan A 40fb24bc98c1
dev-flow-oneliner-fe is a skill published in the GitHub repository movebrickschi/harness-engineering-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 127 tokens to every session and 1,282 once invoked, about $0.0006 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.
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…
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…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…