grill-me

REVIEW · 61
Registry indexed

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

Verified installs0
Stars13
Version1.0.0
Quality58/100 · Promising
Trust61/100 · Sandbox only
Audit74/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

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

ResearchRAG and knowledgeagent-skill

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

Promising
58

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
61

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
74

A 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

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-me

Do 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

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

skill install

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-me

Agent 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 text plan

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.

Open install API

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-me

Registry 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.

Open manifest

Agent fit

59/100

GitHub automation

Platforms

Claude Code, OpenAI Agents

Audit report

Needs review · 74/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

59
Readiness
Prototype
Stage

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

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

61
OpenAgentSkill Trust Score

GitHub adoption

FIX

13 GitHub stars

Stars/forks activity

FIX

13 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

5d since push

License clarity

PASS

MIT

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.

58
GitHub stars
13
Freshness
5d ago
Install ready
Yes
License
MIT
Review before install: 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.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

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

59
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

74
Needs review
Security
78/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for grill-me, ready for a manual X post.

Curator note
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
Open X draft
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

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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Owner 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.

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Author

R

rijkvanzanten

@rijkvanzanten

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

61
  • 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