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
Asset-Profil
Recherche und Wissensarbeit
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Szenario
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
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
Wartung
Aktuell
6 Tage seit dem letzten Push
Risiko
Prüfung nötig
Financial research output is not financial advice; require human review before any live investment decision
GitHub-Qualität
13
58/100 Qualität · 69/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
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-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Stars
13 GitHub-Stars
Repository-Aktivität
13 Stars und 0 Forks
Wartung
6 Tage seit dem letzten Push
Lizenz
MIT
Installieren
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
filesystem or document access, database access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Usable metadata, review docs
Risikoübersicht
Vor Produktion prüfen
- 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
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-me
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 61/100
- Audit
- 74/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add rijkvanzanten/rolling-wave-engineering --skill grill-meNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- 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-Sicherheit v2
54/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
Mittel
Datenbankzugriff
Die Skill kann Schemata prüfen, Datenbanken abfragen oder mit persistenten Speichern arbeiten.
- Financial research output is not financial advice; require human review before any live investment decision
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
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-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/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
Installationsübergabe
/api/skills/rijkvanzanten-grill-me/install
Agent sollte prüfen
- 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.
Prompt kopieren
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-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/rijkvanzanten-grill-me/install
LLM-Textformat
/api/skills/rijkvanzanten-grill-me/install?format=text
Alternativen finden
/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-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/rijkvanzanten-grill-me
LLM-Text
/api/registry/manifest/rijkvanzanten-grill-me?format=text
Installationsalias
/api/registry/install/rijkvanzanten-grill-me
Empfehlen
/api/registry/recommend?task=Use%20grill-me%20in%20an%20agent%20workflow&limit=3
Agent-Fit
GitHub automation
Use-Case-Tags
Plattformen
Claude Code, OpenAI Agents
Audit-Bericht
Prüfung nötig · 74/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
GitHub automation
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 58/100
- 4 OpenAgentSkill-Interaktionen
zuerst prüfen
- 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.
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
- 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.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Beheben13 GitHub-Stars
Star-/Fork-Aktivität
Beheben13 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden6 Tage seit dem letzten Push
Lizenzklarheit
BestandenMIT
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- 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
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
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-Eignung
Zum vollständigen Workflow hinzufügen
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.
Alternativen-Shortlist
Vor Installation vergleichen
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
Übersicht
--- 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.
Technische Details
- Version
- 1.0.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 20. Aug. 2026
- Veröffentlicht
- 20. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 78/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für grill-me, bereit für einen manuellen 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
Optionale Antwort mit Installationsbefehl
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
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- rijkvanzanten
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird rijkvanzanten zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](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)Autor
rijkvanzanten
@rijkvanzanten
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 13
- Qualitätswert
- 31/100
- Letzter GitHub-Push
- 17. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 3
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Nur Sandbox
- GitHub-Akzeptanz13 GitHub-StarsBeheben
- Star-/Fork-Aktivität13 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBeheben
- Aktuelle Wartung6 Tage seit dem letzten PushBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitÖffentliche Metadaten benötigen mehr README/SKILL.md-KontextInfo
- Abhängigkeits-/Laufzeitrisikodatabase surfaceBestanden
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