grill-task

grill-task is a skill for Claude Code from BlueprintOS/analysis-to-delivery. It costs 60 tokens per session (1,338 once invoked), scanned A, original, MIT.

A requirements-clarification workflow written in Chinese for confirming new tasks and matching requested fields with existing database fields.

In plain words
What is it for?
Use it to create a task confirmation document, review the request, identify field matches or gaps, and run the required validation gate.
Why use it?
It reduces misunderstandings before design or implementation, especially when a request must fit existing tables and naming rules.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to create a task confirmation document, review the request, identify field matches or gaps, and run the required validation gate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/blueprintos/analysis-to-delivery/grill-task
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 BlueprintOS/analysis-to-delivery --skill grill-task
Clone the repo
git clone --depth 1 https://github.com/BlueprintOS/analysis-to-delivery

Made for: Claude Code.

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 grill-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/blueprintos/analysis-to-delivery/grill-task.svg)](https://agentmods.dev/skills/blueprintos/analysis-to-delivery/grill-task)
Your own site
<a href="https://agentmods.dev/skills/blueprintos/analysis-to-delivery/grill-task"><img src="https://agentmods.dev/badge/skills/blueprintos/analysis-to-delivery/grill-task.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,338 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 $0.00060 $0.01338
Opus 5 $0.00030 $0.00669
Sonnet 5 $0.00012 $0.00268
Haiku 4.5 $0.00006 $0.00134

Measured 8d ago against content hash d9ed0e65ca2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

grill-task 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 8d 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/user-invoked/grill-task/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grill-Task — 需求澄清 + 字段对齐

Contract

  • 输入: TASK_CONFIRM_*.mdpaths/knowledge-path.md、用户需求笔记
  • 输出: REVIEW_需求确认书.mdREVIEW_字段对齐分析.md
  • 门控: python3 scripts/task-confirm-check.py --strict TASK_CONFIRM_*.md REVIEW_需求确认书.md REVIEW_字段对齐分析.md 通过;用户白名单话术签字
  • Required rules: stage-gate, no-field-guessing, context-pointer, goal-boundary
  • Required paths: knowledge-path, doc-naming-path
  • 下一步: /to-brd

适用场景

  • 用户提出新需求时
  • 需求涉及现有表查询/维护类功能
  • 团队对需求理解不一致时

流程步骤

1. 生成《需求确认表》

  • 加载 templates/TASK_CONFIRM.md
  • 替换项目名、日期,生成 TASK_CONFIRM_{项目名}.md 到工作目录
  • 告知用户填写并保存

2. 用户填写后,生成《需求确认书》

  • 读取用户填写的 TASK_CONFIRM_*.md
  • 加载 templates/REVIEW_需求确认书.md
  • 逐项标注 AI 助手的理解,列出待确认的设计假设
  • 输出 REVIEW_需求确认书.md

3. 字段对齐分析(涉及现有表时强制)

  • 提取需求中提到的所有表名和字段名
  • knowledge-path.md 引用的知识库核对
  • 输出 REVIEW_字段对齐分析.md,分类标注:
    • ✅ 已对齐
    • ⚠️ 需 JOIN
    • ❓ 待确认(业务同义不同名)
    • 🔴 缺失

4. 阶段 2 出口门控(唯一脚本)

  • python3 scripts/task-confirm-check.py --strict TASK_CONFIRM_*.md REVIEW_需求确认书.md REVIEW_字段对齐分析.md
  • task-confirm-check.py 是阶段 2 唯一门控脚本
  • field-alignment-check.py 不接 TASK_CONFIRM / REVIEW 文档,不得用于阶段 2 出口门控

关键纪律

  • 用户填写完 TASK_CONFIRM 后,严禁直接跳进设计
  • 必须先出确认书让用户审阅
  • 用户确认通过 → 进入 /to-brd
  • 字段对齐有 🔴 或 ❓ → task-confirm-check.py --strict 必须失败,严禁进入下一步

调用的 rule

  • rules/no-field-guessing — 严禁猜测字段名
  • rules/no-self-invent — 严禁自创字段
  • rules/context-pointer — 三层知识库加载

关键纪律(2026-06-24 更新)

  • ❌ 删除"4 章节"表述——实际为 5 章节(一~五)
  • 阶段 2 只允许 scripts/task-confirm-check.py 作为出口门控脚本
  • field-alignment-check.py 只校验 PRD/FSD/设计文档字段引用,不接 TASK_CONFIRM / REVIEW
  • 🟡 删除:状态字段不再有 🟡 中间态,仅 ⬜/✅ 二态
  • 🔒 HARD GATE:用户必须用白名单话术之一明确签字,LLM 不接受隐式同意

结束条件

  • TASK_CONFIRM 状态字段 = ✅ 已确认(二态,无 🟡)
  • TASK_CONFIRM 5 个必备章节(一~五)填完
  • TASK_CONFIRM 无 12 词 TBD(见 scripts/task-confirm-check.py TBD_KEYWORDS)
  • REVIEW_需求确认书 第八节"待明确事项"为空
  • REVIEW_字段对齐分析 对齐结论表中 ❓=0 且 🔴=0(⚠️ 可保留,状态字段可为 ✅ 或 ⚠️)
  • python3 scripts/task-confirm-check.py --strict TASK_CONFIRM_*.md REVIEW_需求确认书.md REVIEW_字段对齐分析.md exit 0
  • 用户白名单话术签字(详见 templates/TASK_CONFIRM.md L48-55)

Read the full file on GitHub · 97 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. 8d ago First seen · 97 lines · 60 tokens per session scan A d9ed0e65ca2d

Subscribe to this mod's changes

grill-task is a skill published in the GitHub repository BlueprintOS/analysis-to-delivery (26 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,338 once invoked, about $0.0003 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.

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