Im Registry indexiert
native-agent-swarms
Coordinate small teams of specialized Codex agents with bounded parallelism, explicit ownership, native messaging, and evidence-based synthesis. Use when two or more independent investigations, reviews, or implementation streams can run concurrently without sharing writable files
Übersicht
Coordinate small teams of specialized Codex agents with bounded parallelism, explicit ownership, native messaging, and evidence-based synthesis. Use when two or more independent investigations, reviews, or implementation streams can run concurrently without sharing writable files, or when the user asks for swarm, team, parallel agent, or multi-reviewer execution.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
Native Agent Swarms
Use Codex-native collaboration instead of Claude TeamCreate, TaskCreate, SendMessage, tmux, or shared team-state conventions. Keep orchestration in the parent agent and use specialists as leaf workers.
Gate delegation
Delegate only when the user or applicable project instructions authorize subagents. Delegation never expands the user's requested scope or permission to change external state.
Before spawning, confirm:
- At least two work streams are genuinely independent.
- Each worker has a bounded objective and sufficient starting evidence.
- Writable files have exactly one owner.
- The expected speed or quality gain exceeds coordination overhead.
- Available thread capacity can accommodate the team; prefer 2-3 workers and never exceed the configured limit.
Stay sequential when tasks share state, one result determines the next, or workers would edit the same files.
Compose the team
Select the narrowest installed custom agents. Typical choices include planner, architect, code-reviewer, security-reviewer, quality-engineer, hypothesis-debugger, performance-reviewer, database-reviewer, accessibility-reviewer, and language reviewers.
Use team-coordinator only to advise on decomposition. The parent agent remains responsible for spawning, monitoring, resolving conflicts, and final verification. Keep nesting depth at one unless the user explicitly asks for recursive delegation and the runtime configuration safely allows it.
Write dispatch contracts
Every worker task must include:
Objective: one concrete result.
Scope: exact subsystem, files, or hypothesis.
Ownership: writable files; all other files are read-only.
Starting evidence: errors, requirements, paths, and relevant constraints.
Acceptance criteria: observable completion conditions.
Safety: no commit, push, deploy, external messages, secret access, or destructive commands.
Output: findings or changes, evidence, commands run, gaps, and a concise handoff.
Use spawn_agent for independent work. Use direct send_message only for relevant evidence or interface updates, followup_task for a new bounded assignment after a worker becomes idle, wait_agent for progress, interrupt_agent only when work is obsolete or unsafe, and list_agents to audit active capacity.
Coordinate execution
- Record the task-to-agent and file-ownership matrix.
- Spawn independent tasks close together so they run concurrently.
- Continue useful parent-only work while agents run.
- Relay only evidence that materially changes another worker's task.
- Stop fan-out when results converge, capacity is saturated, or coordination cost rises.
- Never let two implementation agents modify the same file or mutable external resource.
For specialized patterns, read only the relevant reference:
- Multi-dimensional review: review-swarms.md
- Competing-hypothesis debugging: debug-swarms.md
- Parallel feature implementation: feature-swarms.md
Synthesize and verify
The parent agent must inspect worker evidence rather than concatenate summaries.
- Deduplicate overlapping findings and retain the strongest evidence.
- Resolve disagreements by checking source files, tests, or command output.
- Review all shared-worktree changes for overlap and unintended edits.
- Run integration-level verification after individual checks pass.
- Report which agents ran, their scopes, final evidence, and unresolved gaps.
Do not claim success merely because all workers returned. Completion requires integrated verification proportional to risk.
Source patterns adapted from wshobson/agents commit 767d969a73ce6608d10ac713e52be9ac7f061ab9 (MIT), rewritten for native Codex collaboration and permission boundaries.
Dateimetadaten
name: native-agent-swarms description: Coordinate small teams of specialized Codex agents with bounded parallelism, explicit ownership, native messaging, and evidence-based synthesis. Use when two or more independent investigations, reviews, or implementation streams can run concurrently without sharing writable files, or when the user asks for swarm, team, parallel agent, or multi-reviewer execution.
Originaltext anzeigen
--- name: native-agent-swarms description: Coordinate small teams of specialized Codex agents with bounded parallelism, explicit ownership, native messaging, and evidence-based synthesis. Use when two or more independent investigations, reviews, or implementation streams can run concurrently without sharing writable files, or when the user asks for swarm, team, parallel agent, or multi-reviewer execution. --- # Native Agent Swarms Use Codex-native collaboration instead of Claude TeamCreate, TaskCreate, SendMessage, tmux, or shared team-state conventions. Keep orchestration in the parent agent and use specialists as leaf workers. ## Gate delegation Delegate only when the user or applicable project instructions authorize subagents. Delegation never expands the user's requested scope or permission to change external state. Before spawning, confirm: - At least two work streams are genuinely independent. - Each worker has a bounded objective and sufficient starting evidence. - Writable files have exactly one owner. - The expected speed or quality gain exceeds coordination overhead. - Available thread capacity can accommodate the team; prefer 2-3 workers and never exceed the configured limit. Stay sequential when tasks share state, one result determines the next, or workers would edit the same files. ## Compose the team Select the narrowest installed custom agents. Typical choices include `planner`, `architect`, `code-reviewer`, `security-reviewer`, `quality-engineer`, `hypothesis-debugger`, `performance-reviewer`, `database-reviewer`, `accessibility-reviewer`, and language reviewers. Use `team-coordinator` only to advise on decomposition. The parent agent remains responsible for spawning, monitoring, resolving conflicts, and final verification. Keep nesting depth at one unless the user explicitly asks for recursive delegation and the runtime configuration safely allows it. ## Write dispatch contracts Every worker task must include: ```markdown Objective: one concrete result. Scope: exact subsystem, files, or hypothesis. Ownership: writable files; all other files are read-only. Starting evidence: errors, requirements, paths, and relevant constraints. Acceptance criteria: observable completion conditions. Safety: no commit, push, deploy, external messages, secret access, or destructive commands. Output: findings or changes, evidence, commands run, gaps, and a concise handoff. ``` Use `spawn_agent` for independent work. Use direct `send_message` only for relevant evidence or interface updates, `followup_task` for a new bounded assignment after a worker becomes idle, `wait_agent` for progress, `interrupt_agent` only when work is obsolete or unsafe, and `list_agents` to audit active capacity. ## Coordinate execution 1. Record the task-to-agent and file-ownership matrix. 2. Spawn independent tasks close together so they run concurrently. 3. Continue useful parent-only work while agents run. 4. Relay only evidence that materially changes another worker's task. 5. Stop fan-out when results converge, capacity is saturated, or coordination cost rises. 6. Never let two implementation agents modify the same file or mutable external resource. For specialized patterns, read only the relevant reference: - Multi-dimensional review: [review-swarms.md](references/review-swarms.md) - Competing-hypothesis debugging: [debug-swarms.md](references/debug-swarms.md) - Parallel feature implementation: [feature-swarms.md](references/feature-swarms.md) ## Synthesize and verify The parent agent must inspect worker evidence rather than concatenate summaries. - Deduplicate overlapping findings and retain the strongest evidence. - Resolve disagreements by checking source files, tests, or command output. - Review all shared-worktree changes for overlap and unintended edits. - Run integration-level verification after individual checks pass. - Report which agents ran, their scopes, final evidence, and unresolved gaps. Do not claim success merely because all workers returned. Completion requires integrated verification proportional to risk. Source patterns adapted from `wshobson/agents` commit `767d969a73ce6608d10ac713e52be9ac7f061ab9` (MIT), rewritten for native Codex collaboration and permission boundaries.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 91 GitHub stars
- Stars/forks activity: 91 stars, 23 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- aAAaqwq/AGI-Super-Team
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 7. Sept. 2026
- Verzeichnis aktualisiert
- 7. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
63/100
Vielversprechend
Vertrauen
63/100
Nur Sandbox
Audit
75/100
Prüfung nötig
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 91 GitHub stars
- Stars/forks activity: 91 stars, 23 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- aAAaqwq
- Quelle
- aAAaqwq/AGI-Super-Team
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
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Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
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