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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.

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Preis unbestätigt★ 28 GitHub-StarsVerzeichnis aktualisiert · 12. Sept. 2026agent-skill

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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.

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Dateimetadaten

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.

Originaltext anzeigen

---
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.

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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

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
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

Vollständiges Audit öffnen

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

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: HsienW/ai-agent-engineering-playbook
Lizenz: MIT
Version: Unknown
Letzter GitHub-Push: 6. Sept. 2026
Verzeichnis aktualisiert: 12. Sept. 2026
Anleitungspfad: skills-contract-boundaries/langgraph-backend-contract/SKILL.md @ 957a8bcdc457

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

53/100

Prüfung nötig

Vertrauen

60/100

Nur Sandbox

Audit

70/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
KI-Prüffreigabe fehlt
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: —
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.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: HsienW
Quelle: HsienW/ai-agent-engineering-playbook
Indexiert von: OpenAgentSkill Community-Index

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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.

[![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)

Badge-Vorschau Audit öffnen Creator-Kit

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.