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-benpx skills add movebrickschi/harness-engineering-mcp --skill dev-flow-oneliner-begit 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-be)<a href="https://agentmods.dev/skills/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-be"><img src="https://agentmods.dev/badge/skills/movebrickschi/harness-engineering-mcp/dev-flow-oneliner-be.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 | $0.00102 | $0.01207 |
| Opus 5 | $0.00051 | $0.00603 |
| Sonnet 5 | $0.00020 | $0.00241 |
| Haiku 4.5 | $0.00010 | $0.00121 |
Grade A, and why
dev-flow-oneliner-be scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- 用 curl/Postman 跑一遍新行为 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.
dev-flow-oneliner-be
适用场景
- "给 X 接口加个返回字段"、"列表加个按 status 过滤" 这类后端微需求
- 不涉及 DB 迁移
- 预估 4 小时内可完成(>8 工时强制升级
/dev-flow-doc-be)
前置条件
确认 _playbook.md Part B.3 启动参数;one_liner 必填。
流程步骤
本 skill 与
/dev-flow-oneliner-fe同构,但必出API_CONTRACT.md与IMPACT_ANALYSIS.md。
阶段 0 · 上下文初始化
move_agent_to_root 进项目;建知识库目录;META.md 极简版。
阶段 1 · 一句话补 PRD(含契约)
SwitchMode→ plan- 把一句话补成
MINI_PRD.md,必出API_CONTRACT.md(即使是字段微调,也写出最终签名) - 强制升级阈值:
- 涉及 DB 改动 → 强制升级
/dev-flow-doc-be(M4 加成) - 估算 >8 工时 → 强制升级
/dev-flow-doc-be
- 涉及 DB 改动 → 强制升级
阶段 2 · 卡点 1 + 契约交付
prompt: "迷你 PRD(MINI_PRD.md)+ API 契约(API_CONTRACT.md)已就绪,请确认:"
options:
- "理解正确 + 契约已与前端 owner 对齐,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-be"
阶段 3 · 项目勘察(精简)
派 1 个 explore subagent:找出待修改文件 + 横切关注点(鉴权?事务?日志?)+ 一句话 IMPACT_ANALYSIS.md(哪些接口/任务可能被影响)。
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/plan-eng-review可跳过(小改动),但任何鉴权 / 数据可见性改动必须/cso
阶段 5 · 实现 + 自查
backend-agent或主线程/qa(接口层快速)+/review- 鉴权/可见性改动必做
/cso - 用 curl/Postman 跑一遍新行为
阶段 6 · 上线
/ship → /land-and-deploy → /canary(监控同类接口耗时和错误率)。
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 / 涉及 DB → 强制升级
/dev-flow-doc-be - 实现中发现需要前端改动 → 升级
/dev-flow-oneliner-full - 影响范围超出预期 → 暂停,回阶段 3 重做
IMPACT_ANALYSIS.md
产物清单
META.md(极简)、MINI_PRD.md、API_CONTRACT.md(必出)、IMPACT_ANALYSIS.md(一句话)、IMPLEMENTATION_PLAN.md(半页)、PR 链接。
支持的修饰符
- M5 只联调 → 几乎不会出现在一句话场景;如出现立即升级
/dev-flow-doc-be
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) - 升级条件触发 → 退出 → 调用
/dev-flow-doc-be - 自查链:
/qa、/review、/cso - 上线链:
/ship、/land-and-deploy、/canary
附录
- 通用基座:见 _playbook.md Part B
- 文档模板:见 _playbook.md Part E
- 完整索引:见 _playbook.md Part F
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 · 101 lines · 102 tokens per session scan A 1abb674017a9
dev-flow-oneliner-be is a skill published in the GitHub repository movebrickschi/harness-engineering-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 102 tokens to every session and 1,207 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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…