Menü
Score a completed task's quality (0-100) for tracking per-agent quality metrics.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
| name | Score Task |
| description | Score a completed task's quality (0-100) for tracking per-agent quality metrics. |
| version | 1.0.0 |
| category | quality |
| skillType | claude-skill |
| assignableRoles | ["auditor"] |
| triggers | ["score task","quality score","rate task"] |
| tags | ["quality","audit","metrics"] |
| execution | {"type":"script","script":{"file":"execute.sh","interpreter":"bash","timeoutMs":15000}} |
Assigns a quality score (0-100) to a completed task for per-agent quality tracking.
bash config/skills/auditor/score-task/execute.sh '{"taskId":"task-123","qualityScore":85}'
taskId (required): ID of the completed task to scorequalityScore (required): Quality score between 0 and 100sessionName (optional): Session name of the scorer (defaults to "auditor")JSON response confirming the score was recorded.
Plan and create a NESTED team hierarchy (parent coordination team + per-stream child teams) for a complex multi-stream goal. Use INSTEAD of recommend-team/materialize-team when the goal names 2+ parallel work-streams (e.g. frontend + backend + DevOps). Onboarding-only.
Search the live web for a query and return ranked results (title, URL, snippet) as JSON. Works with no API key (DuckDuckGo HTML fallback) and uses the Brave Search API or SerpAPI automatically when BRAVE_API_KEY / SERPAPI_KEY is set. Any agent can call it for research, competitor analysis, market/trend lookups, fact-checking, finding sources to cite, or grounding a non-software goal (marketing, growth, commerce) in real-world information.
Transcribe a local audio (or video) file to text with timestamps using Whisper. Defaults to local whisper.cpp (free, offline, word/segment-level timestamps) and automatically falls back to the OpenAI Whisper API (whisper-1) when the local engine is not installed. Any agent can call it for meetings, podcasts, voice notes, interviews, or video audio tracks.
Accept and take the next available task from the task queue. Use when an agent is idle and ready to pick up the highest-priority unassigned task. For assigning tasks to specific agents, use assign-task instead.
Register the agent as active with the Crewly backend on startup. Use when an agent first launches and needs to join the team and become visible to the orchestrator. For confirming responsiveness after registration, use heartbeat instead.
Analyze git changes and produce a structured code review with automated checks for missing tests, debug statements, potential secrets, large changes, and dependency modifications. Use when reviewing staged changes, unstaged diffs, recent commits, or branch comparisons before submitting a pull request. For task-level quality gates, use check-quality-gates instead.