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 skills add lazysheep-z/apdr-product-design-runtime --skill intakegit clone --depth 1 https://github.com/lazysheep-z/apdr-product-design-runtimeWrote 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/lazysheep-z/apdr-product-design-runtime/intake)<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.
<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>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 | $0.00026 | $0.00875 |
| Opus 5.5 | $0.00010 | $0.00350 |
| Sonnet 5.5 | $0.00005 | $0.00175 |
| Haiku 4.5 | $0.00003 | $0.00088 |
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.
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)
-
operator-preference —
skills/operator-preference/SKILL.md
Collect collaboration habits (density, gate style, language) before long Q&A. -
idea-refine —
vendor/addy-agent-skills/idea-refine/SKILL.md(addyosmani/agent-skills ~80k★)
Divergent/convergent refinement → problem, direction, MVP, not-doing. -
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. -
pm-skills:discover —
/discoverorvendor/pm-skills/pm-product-discovery/(phuryn/pm-skills ~24k★)
Ideation → assumptions → prioritize → experiments. -
pm-skills:strategy —
/strategyorvendor/pm-skills/pm-product-strategy/
Opportunity-solution tree / product strategy canvas. -
superpowers:brainstorming —
vendor/superpowers/skills/brainstorming/SKILL.md
Structured Q&A for remaining gaps. -
baoyu-url-to-markdown (optional) — capture competitor pages.
-
competitive-research(用户点名竞品/市场时)—
skills/competitive-research/SKILL.md -
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
get_operator_preference;无则用默认,并用set_operator_preference固化。- 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。 - User describes idea → run idea-refine(增量改造时可缩短发散,聚焦改动边界)。
- If pm-skills available:
/discoverthen/strategy(or read vendored skills). - Superpowers brainstorming for leftover ambiguities.
- 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(updatemeta / 再次 write brief)。
- 需要 →
- 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。 write_artifactProjectBrief → 展示摘要 → 等用户明确批准 → approve → advance。- Record ADR via decision-recorder.
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.
- 10d ago Changed 991264a60f96
- 1mo ago Changed · +17 lines · +17 tokens per session f6c022769672
- 1mo ago First seen · 42 lines · 9 tokens per session scan A 096f359377e2
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.
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