apdr-operator-preference

apdr-operator-preference is a skill for Claude Code, Codex from lazysheep-z/apdr-product-design-runtime. It costs 61 tokens per session (991 once invoked), scanned A, original, MIT.

A collaboration-preference tool that records how a person wants to work with a coding agent, such as how many questions to ask and how much detail to write. It applies those preferences across project stages and conversations.

In plain words
What is it for?
Use it to save preferences for language, clarification, approval gates, feedback style, and revision mode in a project or editor configuration.
Why use it?
It reduces repeated instructions about communication and review style. It also keeps collaboration settings separate from the product's user personas.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to save preferences for language, clarification, approval gates, feedback style, and revision mode in a project or editor configuration.

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Install with agentmods
npx agentmods add skills/lazysheep-z/apdr-product-design-runtime/operator-preference
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.

Any agent
npx skills add lazysheep-z/apdr-product-design-runtime --skill operator-preference
Clone the repo
git clone --depth 1 https://github.com/lazysheep-z/apdr-product-design-runtime

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for apdr-operator-preference

README.md
[![agentmods](https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/operator-preference/github.svg)](https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/operator-preference)
Your own site
<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/operator-preference"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/operator-preference/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.

agentmods 80×15 button for apdr-operator-preference

Your own site · 80×15
<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/operator-preference"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/operator-preference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 991 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00061 $0.00991
Opus 5.5 $0.00024 $0.00396
Sonnet 5.5 $0.00012 $0.00198
Haiku 4.5 $0.00006 $0.00099

Measured 3d ago against content hash e91085daf72f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apdr-operator-preference 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.

skills/operator-preference/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Operator Preference (APDR 横切)

在 intake / requirements / PRD / UI / design_review / frontend 等人机门禁多轮对话中使用。 不替代产品 personas;只优化「你怎么跟 Agent 协作」。

MCP(优先)

get_operator_preference { project_id }
set_operator_preference { project_id, preference: { ...partial } }

get_next_action 会附带偏好与「交付护栏」。引擎会按偏好自动跳过阶段。

When

  • 新项目首次 intake:用 2–3 个短问题收集偏好,经 MCP 写入
  • 用户说「简洁一点 / 只改文案 / 不要代码只要飞书文档 / 改现有原型」:立刻 set_operator_preference
  • 每个阶段开始:先 get_operator_preference

Persist

  1. MCP → projects/{id}/operator-preference.json(gitignore,不进公开仓库)
  2. 关键字段镜像到 meta.json:deliveryTarget / prototypeMode / taskMode

隐私:只存协作枚举;禁止姓名、邮箱、手机、飞书 open_id、租户域名、本机绝对路径。写入时会自动 [redacted]。

Schema

{
  "communicationDensity": "concise|balanced|thorough",
  "clarifyFirst": true,
  "gateStyle": "strict|default|fast-forward-optional",
  "feedbackStyle": "summary-only|inline-comments|rewrite-whole",
  "language": "zh|en",
  "wireframeFidelity": "low|mid",
  "revisionMode": "patch|restage",
  "prototypeMode": "greenfield|incremental",
  "docOnlyGuard": true,
  "deliveryMode": "preview|offline-html|both|none",
  "deliveryTarget": "code|feishu-doc|both",
  "taskMode": "full|copy_only|patch_ui",
  "previewPort": 5180,
  "previewHostLan": true,
  "notes": []
}

推荐默认值

中文 / concise / strict / patch / incremental / docOnlyGuard / deliveryMode=both / deliveryTarget=code / taskMode=full / previewHostLan=true。

路线跳过(引擎)

设置 跳过阶段
deliveryTarget=feishu-doc user_flows → code_intelligence(PRD 后直接 handoff)
taskMode=copy_only UX/UI/设计审查/后端/图谱(Brief 后可进 frontend 文案改)
prototypeMode=incremental 或 taskMode=patch_ui 可选 UX:flows/IA/wireframes/ui/design_review

Intake 最多 2–3 题

  1. 从零新建,还是改现有原型?(→ prototypeMode / taskMode)
  2. 要代码、只要飞书/文档,还是都要?(→ deliveryTarget)
  3. 是否需要后端? / 只要改文案?(→ includeBackend / taskMode=copy_only)

Apply rules

Preference Agent behavior
concise 每轮 ≤5 要点;中文短句
strict 未明确「批准」不 approve
patch 只改被点名段落
incremental / patch_ui 既有代码上改;跳过可选 UX
copy_only / docOnlyGuard 只改文案;改字段前先列影响点
feishu-doc 文档交付;跳过线框→代码
offline-html / preview 按交付护栏校验 pack:single 与 LAN 预览

Read the full file on GitHub · 93 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. 3d ago Changed · -5 lines e91085daf72f
  2. 27d ago First seen · 98 lines · 61 tokens per session scan A 29c424a5bce4

Subscribe to this mod's changes

apdr-operator-preference is a skill published in the GitHub repository lazysheep-z/apdr-product-design-runtime (3 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 991 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-21.

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