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langsmith-trace-analyzer

langsmith-trace-analyzer is a skill for Claude Code from soba-labs/langchain-agent-skills. It costs 76 tokens per session (1,309 once invoked), scanned A, original, MIT.

A guide for downloading and examining LangSmith traces, which are records of language-model and tool runs. It groups runs by outcome and compares successful and failed behavior.

In plain words
What is it for?
Use it to find traces by project or filters, download them as JSON, separate passed and failed runs, inspect patterns, and compare results.
Why use it?
It turns raw run records into information useful for debugging and evaluation. This makes it easier to find recurring token, message, or tool-call patterns.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the langsmith-skills plugin — 3 skills shipped together

not rated 106repo 18d ago A scan SkillSpector: pass 76 tokens original MIT

Good fit Use it to find traces by project or filters, download them as JSON, separate passed and failed runs, inspect patterns, and compare results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer
View source ↗ soba-labs/langchain-agent-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add soba-labs/langchain-agent-skills --skill langsmith-trace-analyzer
Clone the repo
git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills

Made for: Claude Code.

Or install langsmith-skills, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for langsmith-trace-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer/github.svg)](https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer)
Your own site
<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for langsmith-trace-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-trace-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,309 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01309
Opus 5.5 $0.00030 $0.00524
Sonnet 5.5 $0.00015 $0.00262
Haiku 4.5 $0.00008 $0.00131

Measured 2mo ago against content hash b92e03c1e1bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langsmith-trace-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/analyze_traces.py, scripts/download_traces.py, scripts/download_traces.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/langsmith-trace-analyzer/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LangSmith Trace Analyzer

Use this skill to move from raw LangSmith traces to actionable debugging/evaluation insights.

Quick Start

# Install dependencies
uv pip install langsmith langsmith-fetch

# Auth
export LANGSMITH_API_KEY=<your_langsmith_api_key>

Fast workflow

  1. Download traces with scripts/download_traces.py (or scripts/download_traces.ts).
  2. Analyze downloaded JSON with scripts/analyze_traces.py.
  3. Load targeted references only when needed:
    • references/filtering-querying.md for query/filter syntax
    • references/analysis-patterns.md for deeper diagnostics
    • references/benchmark-analysis.md for benchmark-specific workflows

Decision Guide

  1. Known trace IDs
    Use langsmith-fetch trace <id> directly, or --trace-ids in downloader scripts.

  2. Need to discover traces first
    Use LangSmith SDK list_runs/listRuns with filters, then download selected trace IDs.

  3. Need aggregate insights
    Run analyze_traces.py for summary stats, patterns, and passed-vs-failed comparisons.

Core Workflows

1) Download and organize traces

Python:

uv run skills/langsmith-trace-analyzer/scripts/download_traces.py \
  --project "my-project" \
  --filter "job_id=abc123" \
  --last-hours 24 \
  --limit 100 \
  --output ./traces \
  --organize

TypeScript:

ts-node skills/langsmith-trace-analyzer/scripts/download_traces.ts \
  --project "my-project" \
  --filter "job_id=abc123" \
  --last-hours 24 \
  --limit 100 \
  --output ./traces

Output layout:

traces/
├── manifest.json
└── by-outcome/
    ├── passed/
    ├── failed/
    └── error/
        ├── GraphRecursionError/
        ├── TimeoutError/
        └── DaytonaError/

Notes:

  • Python script supports --organize/--no-organize.
  • Both scripts use SDK filtering plus langsmith-fetch for full trace payload export.

2) Analyze downloaded traces

# Markdown report
uv run skills/langsmith-trace-analyzer/scripts/analyze_traces.py ./traces --output report.md

# JSON output
uv run skills/langsmith-trace-analyzer/scripts/analyze_traces.py ./traces --json

# Compare passed vs failed (expects by-outcome folders)
uv run skills/langsmith-trace-analyzer/scripts/analyze_traces.py ./traces --compare --output comparison.md

Read the full file on GitHub · 176 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 176 lines · 76 tokens per session scan A b92e03c1e1bb

Subscribe to this mod's changes

langsmith-trace-analyzer is a skill published in the GitHub repository soba-labs/langchain-agent-skills (106 stars, last pushed 18d ago), licensed MIT. It adds 76 tokens to every session and 1,309 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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