grill-me
Pressure-test an existing plan or design artifact until it is coherent enough for the next workflow step or plainly blocked. Use when the user wants to be grilled on a plan, design doc, PRD, ADR, rollout plan, migration runbook, rolling-wave project shape, or slice contract; when
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
适配 Agent
Claude Code + OpenAI Agents + CLI
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
维护状态
新鲜
距上次推送 5 天
风险
需审查
Financial research output is not financial advice; require human review before any live investment decision
GitHub 质量
13
58/100 质量 · 69/100 信任
覆盖标签
审查说明
Financial research output is not financial advice; require human review before any live investment decision · The skill edits files in place; ensure the user is aware of this behavior via the prompt or interface description. No dangerous operations are present.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
13 个 GitHub Stars
仓库活跃度
13 个 Star,0 个 Fork
维护状态
距上次推送 5 天
许可证
MIT
安装
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
安装安全性
标准软件包或运行时安装路径
权限范围
filesystem or document access, database access
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- The skill edits files in place; ensure the user is aware of this behavior via the prompt or interface description. No dangerous operations are present.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Inspect repository metadata
适用 Agent
安装决策
- 命令
- npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 61/100
- 审计
- 74/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- The skill edits files in place; ensure the user is aware of this behavior via the prompt or interface description. No dangerous operations are present.
- Financial research output is not financial advice; require human review before any live investment decision
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
54/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- Financial research output is not financial advice; require human review before any live investment decision
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install rijkvanzanten-grill-meAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20grill-me%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20grill-me%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/rijkvanzanten-grill-me/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use grill-me in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20grill-me%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/rijkvanzanten-grill-me/install
Install command: npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/rijkvanzanten-grill-me/install
LLM 文本格式
/api/skills/rijkvanzanten-grill-me/install?format=text
寻找替代方案
/api/skills/search?q=grill-me&limit=3
Agent 提示词
Use grill-me for this task. Review https://www.openagentskill.com/api/skills/rijkvanzanten-grill-me/install, then install with: npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-meRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/rijkvanzanten-grill-me
LLM 文本
/api/registry/manifest/rijkvanzanten-grill-me?format=text
安装别名
/api/registry/install/rijkvanzanten-grill-me
推荐
/api/registry/recommend?task=Use%20grill-me%20in%20an%20agent%20workflow&limit=3
适配 Agent
GitHub automation
平台
Claude Code, OpenAI Agents
Agent 决策面板
Fallback candidate for GitHub automation
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
GitHub automation
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 58/100 质量档案
- 4 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- The skill edits files in place; ensure the user is aware of this behavior via the prompt or interface description. No dangerous operations are present.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
修复13 个 GitHub Stars
Star/Fork 活跃度
修复13 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 5 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- The skill edits files in place; ensure the user is aware of this behavior via the prompt or interface description. No dangerous operations are present.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 13 GitHub stars
- Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
工作流匹配
加入完整工作流
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: grill-me description: Pressure-test an existing plan or design artifact until it is coherent enough for the next workflow step or plainly blocked. Use when the user wants to be grilled on a plan, design doc, PRD, ADR, rollout plan, migration runbook, rolling-wave project shape, or slice contract; when they say "grill me"; or when Codex should interrogate a source-of-truth artifact, inspect code and adjacent docs before asking, auto-answer evidence-backed questions, ask only about conflicts or low-confidence recommendations, edit the original file in place, preserve the artifact's existing format, and keep conclusions, blockers, readiness, and deferred work synchronized in the document. ---
# Grill Me
Pressure-test one source-of-truth artifact until it is coherent enough to proceed or plainly blocked. Edit the artifact directly. Do not keep critical state only in chat.
## Required Workflow
1. Select one source-of-truth file. - Use the file the user names. - If the user does not name a file and there is exactly one credible candidate, state that selection and proceed. - If multiple plausible files exist, force explicit selection before editing. - Prefer repairing the existing artifact. Create a new artifact only when no usable source exists or the format is unsafe to edit directly.
2. Inspect before asking. - Read the artifact first. - Read relevant code, docs, tests, configs, or adjacent plans aggressively whenever they can answer a question from evidence instead of user memory. - Resolve anything you can from disk before asking the user. - Classify the artifact scope before grilling: - `project-shape`: `docs/rolling-wave/{project}/project.md` or an artifact with finish line, success criteria, scope, and roadmap. - `slice-contract`: `docs/rolling-wave/{project}/slices/NNN-slug.md` or an artifact with original slice contract, acceptance criteria, and implementation notes. - `other-plan`: any other source-of-truth plan. - Keep the interrogation depth matched to that scope.
### Project-Shape Scope
When grilling a rolling-wave `project.md` or other project-shape artifact, focus on global shape: - finish line - success criteria - scope and non-goals - constraints and assumptions - roadmap order - slice granularity - dependency flow between slices - whether broad slices should split into separate review decisions or become child rolling-wave projects - cross-slice risks, decisions, and open questions
Do not grill deep future slices for behavior, file choices, implementation approach, exact tests, edge cases, or detailed acceptance criteria unless that detail changes the global finish line, scope, roadmap order, dependency structure, or reviewability of the slice map. Future slice details belong to `prepare-next-slice` when that slice becomes current.
For project-shape artifacts, a slice is good enough when it is a concrete implementation step fitting one bounded human review decision. Multiple independently useful, executable, or revertible chunks may stay together when one intent or transformation recipe, risk class, and verification strategy cover them. Mechanical batches may cross domains. Split separate approval decisions, unrelated mental models, distinct risk classes, or materially different verification strategies. It does not need a full slice contract yet.
For project-shape artifacts, stop once the global finish line, scope, roadmap order, and next slice are clear enough for `prepare-next-slice`. Do not keep grilling just because future slices still have implementation uncertainty.
### Slice-Contract Scope
When grilling a slice contract, grill slice-level behavior, verification intent, expected intermediate state, minimum implementation, execution fit, risks, and scope boundaries until the slice is ready to implement.
### Prepare-Review Mode
Use this bounded mode only when `prepare-next-slice` explicitly requests `prepare-review`.
- Apply the preparation readiness bar, not the full generic grill checklist. - Read the slice, parent project, direct dependencies, and supplied neutral evidence index first. - Check behavior and scope, dependency order, user-facing or irreversible decisions, review coherence, safe deferrals, and one credible failure mode. - Validate representative high-risk claims. Do not recreate exhaustive consumer, import, generated-registration, or dependency inventories unless implementation requires an exact finite list. - Use a soft budget of about three minutes and twelve repository queries. Batch searches. When the budget is exhausted, return the highest-leverage `question`, `blocked`, or `redirect` instead of continuing broad exploration. - Return `redirect` only when a prerequisite or replacement slice is required for an honest contract. Draft that slice, update material roadmap/dependency state, keep it `pending`, and include a neutral evidence index. - Stop as soon as required branches are resolved or safely deferred. Optional polish and final completeness proof do not block readiness.
3. Preserve the artifact's native format while making it usable as a source of truth. - Do not rewrite the artifact into this skill's preferred template. - Keep the document's existing section names, ordering, style, and level of formality unless that structure is actively hiding contradictions or unresolved decisions. - Add missing tracking information where it naturally belongs in the current format: readiness, blockers, open questions, assumptions, dependencies, deferred work, or explicit out-of-scope items. - If the artifact already has equivalents for those concepts, update those existing sections instead of creating new standardized sections. - Add a new section only when there is no reasonable place for the information and the missing state would otherwise live only in chat. - Reorganize only the smallest necessary part when the current structure hides dependencies, duplicates one decision across sections, or makes the plan impossible to verify.
4. Run a strict interrogation loop. - Resolve evidence-backed branches from the artifact or codebase before involving the user. - Auto-answer and continue when the recommended answer is defensible from existing research, code, docs, tests, configs, or artifact text. - Surface auto-answers in chat and in the artifact, but do not require user confirmation for them. - Ask the user only when evidence conflicts, the recommendation depends on unstated intent, or confidence in the recommended answer is low. - Sync the source file before each question or auto-continued branch so it remains the source of truth. - In chat, state `current node`, `auto-resolved`, `evidence`, `next question`, and `recommended answer` as applicable. Skip empty parts. Always include a recommended answer when asking. - If the user replies `lgtm`, treat that as accepting the most recent recommended answer unless they also include conflicting instructions. - Ask at most one question per message. If no question is needed, continue resolving the next highest-risk branch without stopping. - Choose the next branch dynamically by risk and dependency leverage. Use the checklist in [references/checklist.md](references/checklist.md) as coverage control except in bounded `prepare-review` mode. - If the scoped artifact is project-shape, choose branches from global project and roadmap risk. Do not choose a branch solely because a deep future slice lacks implementation detail. - If the scoped artifact is project-shape, default to at most 1-3 high-leverage user questions in one grill pass. Ask more only when unresolved issues materially change finish line, scope, first slice, public behavior, reversibility, or major project risk. - Ask what would have to be true for the current branch to fail whenever a branch starts to look settled and cannot be answered confidently from evidence. In `prepare-review`, do this once for the highest-risk branch.
5. Reject weak answers. - Treat vague, evasive, or hand-wavy answers as insufficient. - Say why the answer is weak and ask the sharper follow-up needed to force a real decision. - Accept deferral only when it is concrete: record what is deferred, why it is safe to defer, what it blocks, who owns it, and what trigger or later PR forces resolution. - Record cross-PR deferrals in `Explicitly Not Solved Here`.
6. Keep the file truthful. - Edit the original file directly. Do not create a parallel "grilled" copy. - Rewrite or delete obsolete or contradictory text immediately. - Reopen an earlier branch immediately if later evidence invalidates it. - Write unresolved questions into the artifact as first-class state only when they block progress, are explicitly deferred, or must be visible to a future agent. Do not add low-value open questions just to prove the grill was exhaustive. - Separate facts, assumptions, and decisions whenever the document starts to conflate them. - Record concise file references when evidence materially affects a conclusion.
7. Stay inside planning mode. - Inspect code aggressively for evidence, except when bounded `prepare-review` calls for targeted validation. - Do not implement code or make product changes while using this skill. - Do not drift into brainstorming by default. Propose an alternative only when the current branch is internally inconsistent, clearly under-specified, or dominated by a better option.
## Tone
- Be blunt, skeptical, and unsentimental. - Do not praise, reassure, or soften the critique with filler. - Do not hedge when the document is weak. State the weakness plainly.
## Completion
- Stop when all material branches in scope are resolved, explicitly deferred, ruled out as irrelevant, or the artifact is ready enough for the next workflow step. - For project-shape artifacts, "ready enough" means `prepare-next-slice` can safely prepare the next planned slice with any remaining uncertainty recorded as assumptions, risks, or safe deferrals. - Stop earlier if the user tells you to stop. - End with a short closeout in chat: whether the scoped plan is ready to proceed, what remains unresolved, and which file is the source of truth. - Omit routine caveats for planning-doc-only edits. Do not say that no code tests were run or that the edited planning path is gitignored unless the user asked about verification, persistence, or file visibility, or unless an attempted validation step failed.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月20日
- 发布时间
- 2026年8月20日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 grill-me 准备的场景化草稿,可手动发布到 X。
grill-me: Pressure-test an existing plan or design artifact until it is coherent enough for the next wo... 13 stars https://www.openagentskill.com/skills/rijkvanzanten-grill-me?ref=x
可选:带安装命令的回复
Listing + install path for grill-me: https://www.openagentskill.com/skills/rijkvanzanten-grill-me?ref=x Install: npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 rijkvanzanten,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/rijkvanzanten-grill-me)
[](https://www.openagentskill.com/skills/rijkvanzanten-grill-me)
[](https://www.openagentskill.com/skills/rijkvanzanten-grill-me/audit)
[](https://www.openagentskill.com/skills/rijkvanzanten-grill-me)作者
rijkvanzanten
@rijkvanzanten
健康信号
- GitHub Stars
- 13
- 质量评分
- 31/100
- 最近 GitHub 推送
- 2026年8月17日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 3
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度13 个 GitHub Stars修复
- Star/Fork 活跃度13 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息修复
- 近期维护距上次推送 5 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险database surface通过
相关 Skill
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
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