intake

A requirements-writing workflow for Specode, a process that turns a software request into requirements, a design, implementation tasks, and acceptance checks.

In plain words
What is it for?
Use it to inspect the project, locate relevant code, ask clarification questions, and write a requirements.md file with pointers for the design phase.
Why use it?
It organizes project analysis and clarification before design work begins, reducing the chance of building against an incomplete understanding of the request.

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/qxbyte/pluginhub/intake
Any agent
npx skills add qxbyte/pluginhub --skill intake
Clone the repo
git clone --depth 1 https://github.com/qxbyte/pluginhub

Made for: Claude Code, Codex.

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,347 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 $0.00085 $0.02347
Opus 5 $0.00043 $0.01174
Sonnet 5 $0.00017 $0.00469
Haiku 4.5 $0.00009 $0.00235

Measured yesterday against content hash 0bc3de0a6d63, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

plugins/specode/skills/intake/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

intake — specode's requirements-intake engine

Host-tool convention 🔧: tool names in this skill — AskUserQuestion (structured multiple-choice question), the Skill tool (invoke another skill by name) — are written for Claude-family hosts (Claude Code / CodeBuddy), where naming them directly is the most reliable. On a host that lacks one, use its nearest equivalent (a structured-question tool / a skill-invocation mechanism); with no equivalent, fall back to a plain-text question / reading the target skill's SKILL.md directly. The described behavior is what matters, not the exact tool name.

§0 Who you are / when you're invoked

  • The specode orchestration shell invokes you by name (specode:intake) via the Skill tool during the requirements phase. By then <specsRoot> is resolved, <specsRoot>/<slug>/ exists, and the slug is fixed.
  • You are the sole producer of requirements.md — specode no longer forks the requirements phase on "superpowers present or not". superpowers' brainstorming is used only for design from here on; it never moonlights as a requirements writer.
  • What sets you apart from the old "native 2-4 question wizard" is entirely §Step 2 project analysis + §Step 3 analysis-driven clarification: read the real project first to establish a factual baseline, then ask grounded questions — that is specode's own "driving capability", not a blank questionnaire.
  • Your outputs:
    1. <specsRoot>/<slug>/requirements.md — prose requirements plus the hard frontmatter contract (§1);
    2. a block of 参考定位(非事实来源) location pointers handed to the design phase (§5, ephemeral context, never persisted as fact).

§1 Hard constraints 🔒 (never violate)

  1. Frontmatter contract (highest priority — explicitly required by the user): the YAML at the top of requirements.md must carry three fields — spec_id / created_at / project_root. project_root is the single source of truth for downstream distill / task-swarm / retrieval, and it may only be written through the single validated writer resolve_root.py write-project-root (it validates absolute path / dir exists / /Volumes mount); never hand-write that field. You change who generates the body of requirements, and must never break these contract elements.
  2. Prose requirements: requirements.md is a natural-language spec (background / scope in-out / - [ ] AC-N / open questions), no formalized clauses, no checkboxes — the plan lives in tasks.md and the design in design.md; don't cross that boundary. Bug fixes go here as Current / Expected prose; there is no separate bugfix.md.
  3. User-facing output is Chinese — technical names / paths / code identifiers / frontmatter key names stay verbatim.
  4. Never reprint the full document (see §5 reporting discipline).

Read the full file on GitHub · 102 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. yesterday First seen · 102 lines · 85 tokens per session scan A 0bc3de0a6d63

Subscribe to this mod's changes

intake is a skill published in the GitHub repository qxbyte/pluginhub (3 stars, last pushed 27d ago), licensed MIT. It adds 85 tokens to every session and 2,347 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

douyin-favorites-to-knowledge

将用户已授权账号中的抖音视频收藏或用户明确指定的喜欢列表配置并同步到本地 Markdown 或 Obsidian 知识库;默认收藏,只有用户明确说喜欢/点赞才切换来源。首次明确选择推荐的 SiliconFlow转录、本地 Whisper 或不转录。不得绕过登录、访问他人账号或泄露 Cookie 与私密数据。.

tars1230/douyin-favorites-to-knowledge · 92 tokens

knowledge-extractor

Entrevista a un experto de dominio (SME) para extraer su conocimiento técnico tácito y sintetizarlo en una Skill reutilizable. Se activa PROACTIVAMENTE ante 3 situaciones: (1) Frustración — el usuario se queja de código, arquitectura o falta de estándares; (2) Ambigüedad sin Reglas — se pide un refactor profundo pero…

Vasallo94/obsidian-mcp-server · 156 tokens

MCP Developer

Skill para desarrollar, mantener y extender el servidor MCP de Obsidian. Incluye patrones de código, arquitectura, testing y gestión de paquetes.

Vasallo94/obsidian-mcp-server · 33 tokens

Python Patterns

Buenas prácticas y patrones de desarrollo Python para el proyecto MCP. Incluye estándares de código, patrones arquitectónicos, y convenciones.

Vasallo94/obsidian-mcp-server · 29 tokens

Refactoring

Guía para refactorizar código Python de forma segura y efectiva. Incluye técnicas de refactoring, detección de code smells, y mejoras.

Vasallo94/obsidian-mcp-server · 33 tokens

Test Runner

Skill para ejecutar y gestionar tests. Incluye patrones de testing, fixtures comunes, y estrategias de debugging de tests fallidos.

Vasallo94/obsidian-mcp-server · 28 tokens