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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

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Prix non confirmé★ 91 Stars GitHubRegistre mis à jour · 7 sept. 2026agent-skill

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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.

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Métadonnées du fichier

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.

Voir le texte original

---
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

## 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.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: 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

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: aAAaqwq/AGI-Super-Team
Licence: MIT
Version: 1.0.0
Dernier push GitHub: 7 sept. 2026
Registre mis à jour: 7 sept. 2026
Chemin des instructions: plugins/agi-super-team-codex/skills/native-agent-swarms/SKILL.md @ 286d7deeb083

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

63/100

Prometteur

Confiance

63/100

Sandbox uniquement

Audit

75/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

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: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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}

Pour le créateur

Source de la fiche

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: aAAaqwq
Source: aAAaqwq/AGI-Super-Team
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à aAAaqwq, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aaaaqwq-native-agent-swarms?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aaaaqwq-native-agent-swarms?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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