declaration-intake

declaration-intake is a skill for Claude Code, Codex from BuildrAI/Buildr. It costs 79 tokens per session (1,083 once invoked), scanned A, original, MIT.

A review tool for a project's long-term setup and verification instructions. It examines how tasks should be prepared and how completed work should be checked.

In plain words
What is it for?
Use it when registering a project or service, changing build or test entry points, finding missing environment steps, or finding gaps in verification coverage.
Why use it?
It prevents outdated or incomplete project instructions from guiding future work, while separating routine updates from changes that need the user's decision.

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/buildrai/buildr/declaration-intake
Any agent
npx skills add BuildrAI/Buildr --skill declaration-intake
Clone the repo
git clone --depth 1 https://github.com/BuildrAI/Buildr

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 declaration-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/buildrai/buildr/declaration-intake.svg)](https://agentmods.dev/skills/buildrai/buildr/declaration-intake)
Your own site
<a href="https://agentmods.dev/skills/buildrai/buildr/declaration-intake"><img src="https://agentmods.dev/badge/skills/buildrai/buildr/declaration-intake.svg" alt="Measured on agentmods" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,083 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 $0.00079 $0.01083
Opus 5 $0.00039 $0.00541
Sonnet 5 $0.00016 $0.00217
Haiku 4.5 $0.00008 $0.00108

Measured 4d ago against content hash ddf90cc6dfb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

declaration-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 4d 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.

projects/product/services/buildr/resources/workspace/skills/buildr/declaration-intake/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Declaration Intake Skill

本 Skill 是 Project Declaration Intake 的 Agent 编排入口。它只管理两类 Project-owned 长期声明:

  • projects/<project>/preparation.yml:怎么准备 Task Environment;
  • projects/<project>/verification.yml:怎么验证 Task 交付目标。

Intake 不保存状态、不拥有 schema 或 writer,也不管理 capabilities.ymlcommands.yml。缺少 Skill/provider 时交给 Capability 体系;缺少 CLI/runtime 时只报告 Commands/Doctor 诊断。

1. 确认触发与范围

识别 trigger:Project 注册、Service 注册、首次 Task scope、依赖/构建/测试入口变化、Environment declaration/Recipe gap、Verification coverage gap,或用户显式初始化/刷新。

只使用已登记 Project 和本次明确 Project/Service scope。Project-only 不虚构 Service;多 Service 分别列出事实与候选,不复制其他 Service 的结论。不得递归扫描整个仓库、按目录名猜技术栈,或读取 Task lifecycle/current projection 作为声明来源。

2. 只读 Discovery

读取以下最小事实:

  • Project/Service registry、各 scope 的真实根与适用规则;
  • 当前 preparation.ymlverification.yml 和所属 schema;
  • 明确的 package/build/test wrapper、lockfile或配置、CI与项目文档;
  • 当前 Commands/Capability readiness,仅用于外部依赖诊断。

对每个 scope 输出:trigger、当前声明状态、Preparation Recipe 候选/差异、Verification Capability 候选/差异、证据、外部缺口和建议写入。没有稳定事实时标记 gap,不创建技术栈 adapter、测试、wrapper 或工具安装方案。

Discovery、Project/Service 注册、Buildr Web GET、Doctor、Environment inspect 与 Task Finish 均不得创建、修改或删除长期声明。

3. 区分 routine maintenance 与用户决定

任何写入前都先展示精确diff,并按以下closed条件分类:

  • routine-maintenance:只让声明追上当前用户目标和已登记scope内已经确认的wrapper、lockfile、build/test入口或既有authority;不新增/删除Project或Service scope,不改变discovery、usable targets或affected/full/provider边界,不引入capability、外部效果、安全例外,且authority无冲突。Agent可以在当前用户目标授权内直接交给owner维护并验证,无需让用户承担内部声明步骤。
  • user-decision-required:新增/删除scope,改变discovery、usable targets或affected/full/provider边界,引入新的capability、外部效果或安全例外,或authority证据冲突。必须在写入前请求用户确认精确变化。

分类与展示至少包含:

  • 精确目标文件;
  • 新增、修改或删除的 Recipe/Capability identity 与 scope;
  • 关键 invocation、inputs/outputs、environment/effects 差异;
  • 尚未解决的 Commands/Capability 或测试建设缺口。

user-decision-required没有确认时只报告当前缺口与候选;不得用触发检查、Formal Task或一次宽泛确认覆盖两个文件、新增scope或其他长期决策。routine-maintenance也不得静默扩大scope、伪造capability或绕过owner,只是不为已确认事实重复请求人类授权。

4. 交给声明 owner

Read the full file on GitHub · 72 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. 4d ago First seen · 72 lines · 79 tokens per session scan A ddf90cc6dfb0

Subscribe to this mod's changes

declaration-intake is a skill published in the GitHub repository BuildrAI/Buildr (24 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,083 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens