langsmith-tracing — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited langsmith-tracing (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Configure LangSmith observability and tracing for LLM applications built with LangChain and LangGraph frameworks.
LangSmith is the managed observability suite by LangChain that provides:
# Set required environment variables
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<project-name>from langsmith import Client, traceable
from langchain.callbacks.tracers import LangChainTracer
# Initialize client
client = Client()
# Use @traceable decorator for custom functions
@traceable(name="custom_operation")
def my_function(input_data):
# Your logic here
return result
# Initialize tracer for LangChain
tracer = LangChainTracer(project_name="my-project")
# Use with LangChain chains
chain.invoke(input, config={"callbacks": [tracer]})# Fetch traces from LangSmith
runs = client.list_runs(
project_name="my-project",
start_time=datetime.now() - timedelta(hours=24),
execution_order=1, # Root runs only
error=False, # Successful runs only
)
for run in runs:
print(f"Run ID: {run.id}")
print(f"Latency: {run.latency_p99}")
print(f"Tokens: {run.total_tokens}")When used in a babysitter process, this skill produces:
const langsmithTracingTask = defineTask({
name: 'langsmith-tracing-setup',
description: 'Configure LangSmith tracing for the application',
inputs: {
projectName: { type: 'string', required: true },
apiKeyEnvVar: { type: 'string', default: 'LANGCHAIN_API_KEY' },
samplingRate: { type: 'number', default: 1.0 },
enableDebug: { type: 'boolean', default: false }
},
outputs: {
configured: { type: 'boolean' },
projectUrl: { type: 'string' },
artifacts: { type: 'array' }
},
async run(inputs, taskCtx) {
return {
kind: 'skill',
title: `Configure LangSmith tracing for ${inputs.projectName}`,
skill: {
name: 'langsmith-tracing',
context: {
projectName: inputs.projectName,
apiKeyEnvVar: inputs.apiKeyEnvVar,
samplingRate: inputs.samplingRate,
enableDebug: inputs.enableDebug,
instructions: [
'Verify LangSmith API credentials are available',
'Create or validate project configuration',
'Set up tracing instrumentation in codebase',
'Configure sampling rate and debug settings',
'Verify traces are being captured correctly'
]
}
},
io: {
inputJsonPath: `tasks/${taskCtx.effectId}/input.json`,
outputJsonPath: `tasks/${taskCtx.effectId}/result.json`
}
};
}
});~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.