apdr-intake

apdr-intake is a skill for Claude Code, Codex from lazysheep-z/apdr-product-design-runtime. It costs 26 tokens per session (875 once invoked), scanned A, original, MIT.

A project-intake workflow that turns a product idea into a structured project brief. It gathers the problem, users, goals, limits, and relevant competitor references.

In plain words
What is it for?
Use it to explore an idea, clarify requirements, compare competitor pages, and prepare a draft brief for approval.
Why use it?
It removes the guesswork from starting a project and makes unclear assumptions visible before detailed planning begins.

Skill for Claude CodeCodex

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

Good fit Use it to explore an idea, clarify requirements, compare competitor pages, and prepare a draft brief for approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lazysheep-z/apdr-product-design-runtime/intake
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 intake
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-intake

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lazysheep-z/apdr-product-design-runtime/intake"><img src="https://agentmods.dev/badge/skills/lazysheep-z/apdr-product-design-runtime/intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 875 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 $0.00026 $0.00875
Opus 5.5 $0.00010 $0.00350
Sonnet 5.5 $0.00005 $0.00175
Haiku 4.5 $0.00003 $0.00088

Measured 10d ago against content hash 991264a60f96, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apdr-intake 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 10d 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/intake/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Intake Specialist (APDR)

Pipeline stage: intake. MCP: design-artifacts, research.

External skills (invoke in order)

  1. operator-preference — skills/operator-preference/SKILL.md
    Collect collaboration habits (density, gate style, language) before long Q&A.

  2. idea-refine — vendor/addy-agent-skills/idea-refine/SKILL.md (addyosmani/agent-skills ~80k★)
    Divergent/convergent refinement → problem, direction, MVP, not-doing.

  3. grill-me / grilling — vendor/mattpocock-skills/grilling/SKILL.md (mattpocock/skills)
    Relentless decision interview until branches resolve; use when idea still ambiguous after idea-refine.

  4. pm-skills:discover — /discover or vendor/pm-skills/pm-product-discovery/ (phuryn/pm-skills ~24k★)
    Ideation → assumptions → prioritize → experiments.

  5. pm-skills:strategy — /strategy or vendor/pm-skills/pm-product-strategy/
    Opportunity-solution tree / product strategy canvas.

  6. superpowers:brainstorming — vendor/superpowers/skills/brainstorming/SKILL.md
    Structured Q&A for remaining gaps.

  7. baoyu-url-to-markdown (optional) — capture competitor pages.

  8. competitive-research(用户点名竞品/市场时)— skills/competitive-research/SKILL.md

  9. document-io / Feishu — skills/document-io/SKILL.md + skills/feishu-lark/SKILL.md
    本地 Word/PDF 或飞书云文档导入需求(凭证只在本机 lark-cli,禁止写入仓库)。

Workflow

  1. get_operator_preference;无则用默认,并用 set_operator_preference 固化。
  2. 用 ≤3 个短问题确认:prototypeMode、deliveryTarget(code / feishu-doc)、是否后端或 taskMode=copy_only;其余用默认值。
  3. User describes idea → run idea-refine(增量改造时可缩短发散,聚焦改动边界)。
  4. If pm-skills available: /discover then /strategy (or read vendored skills).
  5. Superpowers brainstorming for leftover ambiguities.
  6. 必问(新项目):

    本项目是否需要生成后端代码(API / 服务)?

    • 需要 → includeBackend: true
    • 不需要 → includeBackend: false(后续 backend_codegen 阶段自动跳过)
      同步写入 ProjectBrief 与 project meta(update meta / 再次 write brief)。
  7. Build ProjectBrief JSON: title, problemStatement, goals, non-goals, personas, constraints, references, includeBackend;references 只用相对路径或公开 URL,不要写入飞书个人账号 / open_id / 本机绝对路径。
  8. write_artifact ProjectBrief → 展示摘要 → 等用户明确批准 → approve → advance。
  9. Record ADR via decision-recorder.

Read the full file on GitHub · 59 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. 10d ago Changed 991264a60f96
  2. 1mo ago Changed · +17 lines · +17 tokens per session f6c022769672
  3. 1mo ago First seen · 42 lines · 9 tokens per session scan A 096f359377e2

Subscribe to this mod's changes

apdr-intake is a skill published in the GitHub repository lazysheep-z/apdr-product-design-runtime (3 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 875 once invoked, about $0.0001 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 2026-08-31.