---
title: "auto-evaluator trust report"
type: "trust-report"
slug: "langchain-ai-auto-evaluator"
canonical_url: "https://www.graphcanon.com/tools/langchain-ai-auto-evaluator/trust"
computed_at: "2026-07-11T10:44:36.486Z"
maintenance_label: "Archived"
security_status: "no_lockfile"
---

# auto-evaluator trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and optional dependency [security scans](/glossary/trust-and-signals/security-scan). Not a security guarantee._

## Maintenance

- Label: Archived (8% recency signal)
- Days since last push: 380
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 623762861
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T10:44:36.486Z
- Methodology: github_public_v1

## Security scan

- Status: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T10:44:37.311Z

## Method and caveats

These are heuristics from public GitHub data and optional dependency scans, sourced and dated. 
"No criticals found on 2026-07-11" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is auto-evaluator maintained?

auto-evaluator is archived on GitHub. GraphCanon treats archived repositories as dormant regardless of past activity.

### Is auto-evaluator safe to use?

Last scanned 1d (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see [trust methodology](/trust-methodology) for scope limits. GraphCanon does not certify auto-evaluator as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is auto-evaluator a fork?

No. auto-evaluator is not flagged as a fork in GitHub metadata at the time of the last refresh.

### Does auto-evaluator have known security vulnerabilities?

Last scanned 1d (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see [trust methodology](/trust-methodology) for scope limits.

### How often is the auto-evaluator trust report updated?

Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed 1d (methodology github_public_v1).

### What does GraphCanon never claim about auto-evaluator?

We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for auto-evaluator. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology).

### How does GraphCanon assess trust for auto-evaluator?

Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read [trust methodology](/trust-methodology) for full scope and limits.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/langchain-ai-auto-evaluator/trust`](/api/graphcanon/tools/langchain-ai-auto-evaluator/trust)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_