OpenAgentSkill
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HsienW

Indexé dans Registry

langgraph-backend-contract

Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.

Examiner la sourceVoir sur GitHub
Prix non confirmé★ 28 Stars GitHubRegistre mis à jour · 12 sept. 2026agent-skill

Vue d’ensemble

Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

LangGraph Backend Contract

Skill Interface

  • Name: langgraph-backend-contract.
  • Description: Design and review LangGraph backend contracts for graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, and resumable workflows.
  • Parameters: Graph state fields, node and edge contracts, reducer behavior, checkpoint and resume requirements, tool or provider schemas, runtime event shape, prompt-sensitive behavior, terminal states, and verification scenarios.
  • Instructions: Use this skill before creating or changing LangGraph backend behavior. Keep state serializable, validate model and tool outputs before writing state, isolate provider-specific logic, emit structured runtime events, and verify resumability plus terminal-state invariants.

LangGraph backend work must preserve graph state contracts, resumability, tool boundaries, and terminal-state behavior. Treat model output and tool output as untrusted until validated.

Graph Rules

  • Keep graph state JSON serializable.
  • Do not store clients, streams, sockets, functions, abort controllers, raw responses, credentials, or other non-serializable objects in state.
  • Define owner, default value, reducer behavior, readers, and checkpoint impact for every new state field.
  • Do not assume a node runs only once.
  • External side effects need idempotency and resume behavior.
  • Terminal states must not return to running.

Node and Edge Rules

  • Route by structured values, not by matching natural-language prose.
  • Keep node inputs and outputs explicit.
  • Validate model and tool outputs before writing them into state.
  • Use stable machine identifiers for graph ids, node names, event types, tool names, error codes, and terminal statuses.
  • Avoid importing concrete provider logic into generic graph contracts.

Tool and Provider Boundaries

  • Tool arguments are untrusted until validated.
  • Tool results should use typed structured output with schema versions when consumed across layers.
  • Provider adapters should isolate provider-specific response formats.
  • Models must not decide unchecked paths, hosts, URLs, commands, permissions, or credential use.
  • Tool and MCP-like capabilities should be deny-by-default.

Runtime Events

Emit structured runtime events for observable workflow progress:

  • Graph started.
  • Node started and completed.
  • Tool started and completed.
  • Retry attempted.
  • Context built.
  • Partial answer emitted.
  • Terminal state reached.
  • Error or cancellation recorded.

Include correlation identifiers when available, such as run id, thread id, graph id, node name, tool call id, provider, duration, retry count, terminal status, and error code.

Prompt and Model Output Rules

  • Prompt changes are code changes.
  • Add golden cases or regression fixtures for prompt-sensitive behavior.
  • Use schema validation for structured model output.
  • Do not patch missing product capability with prompt wording.
  • Distinguish deterministic tests, mocked provider tests, and live smoke tests.

Verification

Test graph success, invalid model output, invalid tool output, no-tool path, wrong-tool path, retry, timeout, cancellation, resume from checkpoint, duplicate node execution, and terminal-state invariants.

Voir la source ↗
Métadonnées du fichier
name: langgraph-backend-contract
description: Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.
Voir le texte original
---
name: langgraph-backend-contract
description: Design and review LangGraph backend contracts. Use when creating or changing graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, or resumable workflows.
---

# LangGraph Backend Contract

## Skill Interface

- Name: langgraph-backend-contract.
- Description: Design and review LangGraph backend contracts for graph state, nodes, edges, reducers, commands, sends, checkpoints, runtime events, provider adapters, tool adapters, prompts, terminal states, and resumable workflows.
- Parameters: Graph state fields, node and edge contracts, reducer behavior, checkpoint and resume requirements, tool or provider schemas, runtime event shape, prompt-sensitive behavior, terminal states, and verification scenarios.
- Instructions: Use this skill before creating or changing LangGraph backend behavior. Keep state serializable, validate model and tool outputs before writing state, isolate provider-specific logic, emit structured runtime events, and verify resumability plus terminal-state invariants.

LangGraph backend work must preserve graph state contracts, resumability, tool
boundaries, and terminal-state behavior. Treat model output and tool output as
untrusted until validated.

## Graph Rules

- Keep graph state JSON serializable.
- Do not store clients, streams, sockets, functions, abort controllers, raw
  responses, credentials, or other non-serializable objects in state.
- Define owner, default value, reducer behavior, readers, and checkpoint impact
  for every new state field.
- Do not assume a node runs only once.
- External side effects need idempotency and resume behavior.
- Terminal states must not return to running.

## Node and Edge Rules

- Route by structured values, not by matching natural-language prose.
- Keep node inputs and outputs explicit.
- Validate model and tool outputs before writing them into state.
- Use stable machine identifiers for graph ids, node names, event types, tool
  names, error codes, and terminal statuses.
- Avoid importing concrete provider logic into generic graph contracts.

## Tool and Provider Boundaries

- Tool arguments are untrusted until validated.
- Tool results should use typed structured output with schema versions when
  consumed across layers.
- Provider adapters should isolate provider-specific response formats.
- Models must not decide unchecked paths, hosts, URLs, commands, permissions, or
  credential use.
- Tool and MCP-like capabilities should be deny-by-default.

## Runtime Events

Emit structured runtime events for observable workflow progress:

- Graph started.
- Node started and completed.
- Tool started and completed.
- Retry attempted.
- Context built.
- Partial answer emitted.
- Terminal state reached.
- Error or cancellation recorded.

Include correlation identifiers when available, such as run id, thread id,
graph id, node name, tool call id, provider, duration, retry count, terminal
status, and error code.

## Prompt and Model Output Rules

- Prompt changes are code changes.
- Add golden cases or regression fixtures for prompt-sensitive behavior.
- Use schema validation for structured model output.
- Do not patch missing product capability with prompt wording.
- Distinguish deterministic tests, mocked provider tests, and live smoke tests.

## Verification

Test graph success, invalid model output, invalid tool output, no-tool path,
wrong-tool path, retry, timeout, cancellation, resume from checkpoint, duplicate
node execution, and terminal-state invariants.

Examiner la source

Prix et coûts d’utilisation

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Licence
MIT
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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • L’approbation de revue IA est absente
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 0 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Review status: AI review approval is missing
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

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 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

RépertoriéContrôle statique

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

Dépôt source
HsienW/ai-agent-engineering-playbook
Licence
MIT
Version
Unknown
Dernier push GitHub
6 sept. 2026
Registre mis à jour
12 sept. 2026
Chemin des instructions
skills-contract-boundaries/langgraph-backend-contract/SKILL.md @ 957a8bcdc457

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

Qualité

53/100

Revue nécessaire

Confiance

60/100

Sandbox uniquement

Audit

70/100

Revue nécessaire

Ouvrir l’audit completVoir le rapport d’évaluation
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • L’approbation de revue IA est absente
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 0 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Review status: AI review approval is missing
Verified installs
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Résultats
—

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

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Ouvrir l’API d’installationFormat texte LLMOuvrir ManifestPlan de résolution auto
Plus de détails
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Revendication du propriétaire

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Cette fiche Indexé par Registry est attribuée à HsienW, 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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Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/hsienw-langgraph-backend-contract?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hsienw-langgraph-backend-contract?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hsienw-langgraph-backend-contract?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hsienw-langgraph-backend-contract?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hsienw-langgraph-backend-contract?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hsienw-langgraph-backend-contract/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hsienw-langgraph-backend-contract?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hsienw-langgraph-backend-contract?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.