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
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
Maintenance
fresh
5d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
13
58/100 Quality · 69/100 Trust
Coverage tags
Review notes
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 adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
13 GitHub stars
Repo activity
13 stars, 0 forks
Maintenance
5d since push
License
MIT
Install
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 61/100
- Audit
- 74/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-meDo not use when
- teams that need a vendor-supported SLA
- 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
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Alternative
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent safety v2
54/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- Financial research output is not financial advice; require human review before any live investment decision
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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 resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20grill-me%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20grill-me%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/rijkvanzanten-grill-me/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
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 handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/rijkvanzanten-grill-me/install
LLM text format
/api/skills/rijkvanzanten-grill-me/install?format=text
Find alternatives
/api/skills/search?q=grill-me&limit=3
Agent prompt
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 metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/rijkvanzanten-grill-me
LLM text
/api/registry/manifest/rijkvanzanten-grill-me?format=text
Install alias
/api/registry/install/rijkvanzanten-grill-me
Recommend
/api/registry/recommend?task=Use%20grill-me%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 74/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 58/100 quality profile
- 4 OpenAgentSkill engagement events
review first
- 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.
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 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.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX13 GitHub stars
Stars/forks activity
FIX13 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- 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
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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
Overview
--- 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.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 20, 2026
- Published
- Aug 20, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 78/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for grill-me, ready for a manual X post.
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
Optional reply with install command
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
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- rijkvanzanten
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to rijkvanzanten but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](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)Author
rijkvanzanten
@rijkvanzanten
Tags
Platform fit
Health signals
- GitHub stars
- 13
- Quality score
- 31/100
- Last GitHub push
- Aug 17, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 3
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption13 GitHub starsFIX
- Stars/forks activity13 stars, 0 forks; issue activity unavailable in current metadataFIX
- Recent maintenance5d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskdatabase surfacePASS
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