standard-dev-flow

A standard software-development workflow that divides work into planning, implementation, review, and verification stages. It coordinates these stages through a command-line session protocol.

In plain words
What is it for?
Use it to plan code changes, implement and test them, review regression risks, run verification commands, and track related agent sessions.
Why use it?
It gives development tasks a repeatable structure and preserves evidence about conclusions, risks, and verification.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/oneworks-ai/app/standard-dev-flow
Any agent
npx skills add oneworks-ai/app --skill standard-dev-flow
Clone the repo
git clone --depth 1 https://github.com/oneworks-ai/app

Made for: Claude Code, Codex.

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,183 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00021 $0.01183
Opus 5 $0.00010 $0.00592
Sonnet 5 $0.00004 $0.00237
Haiku 4.5 $0.00002 $0.00118

Measured 2d ago against content hash 7344a04cc11f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

standard-dev-flow 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 2d 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.

packages/plugins/standard-dev/skills/standard-dev-flow/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

标准开发流

这个 skill 用于把通用开发任务拆成稳定的交付阶段,并通过统一 CLI runtime protocol mode 协调不同实体。

默认阶段

  1. 规划:使用 dev-planner 收敛目标、边界、风险和验证点。
  2. 实现:使用 dev-implementer 完成代码与测试改动。
  3. 评审:使用 dev-reviewer 检查回归风险、行为变化和测试缺口。
  4. 验证:使用 dev-verifier 执行相关命令并整理证据。

调度原则

  • 先规划,再进入实现,不要跳过 dev-planner
  • 实现完成后再进行评审和验证,这两个步骤可以并行。
  • 如果目标不清、上下文缺失或计划失效,回退到规划阶段。
  • 每个子任务都要求输出结论、证据、风险和建议下一步。

CLI Protocol 使用

  • 使用当前 CLI 入口对应的 <cli> run --input-format stream-json --output-format stream-json 作为标准入口,向 stdin 写入 typed runtime protocol envelope,并从 stdout 或 runtime store 读取结果。例如上层入口是 dyai 时使用 dyai run,上层入口是 ow 时使用 ow run
  • session.start protocol command 启动实体任务,字段至少包含 entitytitlemessage
  • session.status / session.events protocol command,或直接读取 runtime store 投影出的状态与事件,跟踪后台任务状态。
  • session.message protocol command 给同一条任务补充指令;已完成或失败的任务会在 runtime 支持时用同一会话直接恢复。
  • session.submit protocol command 处理等待输入或审批的任务。
  • 必要时用 session.stop protocol command 停止明显跑偏的任务,只有 graceful stop 无法恢复时才设置 modeforce
  • 不要使用专用 agent 子命令、旧 StartTasks、手写 DB 或临时 TS 脚本来创建子任务;Agent Room 会在 server-managed host session 下由 session.start 的 runtime store metadata/events 自动投影生成。
  • server-managed host session 会把当前 adapter、model、effort、permission mode 注入为 runtime protocol 默认值;不写这些字段表示继承 host 选择,只有子任务需要不同运行配置时才显式指定。
  • 专用 agent start/status/events/send/submit/stop 子命令只可视为兼容或调试 alias,不作为标准工作流入口。

可复制启动示例

每个子任务写一条 session.start JSONL;多个子任务就写多行:

cat <<'JSONL' | <cli> run --input-format stream-json --output-format stream-json
{"commandId":"start-planner","type":"session.start","payload":{"title":"规划:<目标>","message":"写清楚目标、约束、已有上下文和交付预期。","entity":"dev-planner","background":true},"title":"规划:<目标>","message":"写清楚目标、约束、已有上下文和交付预期。","entity":"dev-planner","background":true}
{"commandId":"start-implementer","type":"session.start","payload":{"title":"实现:<目标>","message":"附上规划结论、影响范围、需要补的测试或验证。","entity":"dev-implementer","background":true},"title":"实现:<目标>","message":"附上规划结论、影响范围、需要补的测试或验证。","entity":"dev-implementer","background":true}
JSONL

Read the full file on GitHub · 79 lines

Changes

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.

  1. 2d ago First seen · 79 lines · 21 tokens per session scan A 7344a04cc11f

Subscribe to this mod's changes

standard-dev-flow is a skill published in the GitHub repository oneworks-ai/app (18 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,183 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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