{"slug":"soba-labs-langgraph-testing-evaluation","name":"langgraph-testing-evaluation","description":"Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.","long_description":"---\nname: langgraph-testing-evaluation\ndescription: \"Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.\"\n---\n\n# LangGraph Testing & Evaluation\n\nPractical workflows for validating agent quality with:\n- Unit/integration tests\n- Trajectory evaluation\n- LangSmith dataset evaluations\n- A/B-style comparisons between versions\n\nUse this file for high-level flow. Load `references/*` for detailed implementation.\n\n## Start Here\n\nChoose the smallest approach that answers your question:\n\n| Goal | Primary method | Load first |\n| --- | --- | --- |\n| Validate node logic quickly | Unit tests with mocks | `references/unit-testing-patterns.md` |\n| Validate multi-step agent behavior | Trajectory evaluation | `references/trajectory-evaluation.md` |\n| Track quality over datasets over time | LangSmith evaluation | `references/langsmith-evaluation.md` |\n| Compare old vs new agent versions | A/B comparison | `references/ab-testing.md` |\n\nRecommended order:\n1. Unit tests\n2. Integration/trajectory checks\n3. Dataset evaluation in LangSmith\n4. A/B comparison before deployment\n\n## Quick Commands\n\nRun from repo root.\n\n### Generate test scaffolding\n\n```bash\n# Python (preferred)\nuv run skills/langgraph-testing-evaluation/scripts/generate_test_cases.py my_agent:graph --output tests/ --framework pytest\n\n# JavaScript/TypeScript\nnode skills/langgraph-testing-evaluation/scripts/generate_test_cases.js ./my-agent.ts:graph --output tests/ --framework vitest\n```\n\n### Run trajectory evaluation\n\n```bash\n# Python: LLM-as-judge\nuv run skills/langgraph-testing-evaluation/scripts/run_trajectory_eval.py my_agent:run_agent my_dataset --method llm-judge --model openai:o3-mini\n\n# Python: trajectory match\nuv run skills/langgraph-testing-evaluation/scripts/run_trajectory_eval.py my_agent:run_agent dataset.json --method match --trajectory-match-mode strict --reference-trajectory reference.json\n\n# JavaScript/TypeScript\nnode skills/langgraph-testing-evaluation/scripts/run_trajectory_eval.js ./agent.ts:runAgent my_dataset --method llm-judge --model openai:o3-mini --max-concurrency 4\n```\n\n### Run LangSmith dataset evaluation\n\n```bash\n# Python\nuv run skills/langgraph-testing-evaluation/scripts/evaluate_with_langsmith.py my_agent:run_agent my_dataset --evaluators accuracy,latency --max-concurrency 4\n\n# Python (do not upload experiment results)\nuv run skills/langgraph-testing-evaluation/scripts/evaluate_with_langsmith.py my_agent:run_agent my_dataset --evaluators accuracy --no-upload\n\n# JavaScript/TypeScript\nnode skills/langgraph-testing-evaluation/scripts/evaluate_with_langsmith.js ./agent.ts:runAgent my_dataset --evaluators accuracy,latency --max-concurrency 4\n```\n\n### Compare two agent versions\n\n```bash\n# Python\nuv run skills/langgraph-testing-evaluation/scripts/compare_agents.py my_agent:v1 my_agent:v2 dataset.json --output comparison_report.json\n\n# JavaScript/TypeScript\nnode skills/langgraph-testing-evaluation/scripts/compare_agents.js ./v1.ts:run ./v2.ts:run dataset.json --output comparison_report.json\n\n# JavaScript/TypeScript (force local dataset file only)\nnode skills/langgraph-testing-evaluation/scripts/compare_agents.js ./v1.ts:run ./v2.ts:run dataset.json --no-langsmith\n```\n\n### Create mock response configs\n\n```bash\n# Python\nuv run skills/langgraph-testing-evaluation/scripts/mock_llm_responses.py create --type sequence --output mock_config.json\n\n# JavaScript/TypeScript\nnode skills/langgraph-testing-evaluation/scripts/mock_llm_responses.js create --type sequence --output mock_config.json\n```\n\n## Core Workflow\n\n1. Define test scope.\n- Unit: deterministic logic in one node/function.\n- Integration: node interactions and routing.\n- End-to-end: complete response quality on realistic inputs.\n\n2. Start from deterministic checks.\n- Mock LLM/tool IO for speed and repeatability.\n- Keep real-model tests as a smaller, explicit suite.\n\n3. Build/curate dataset examples.\n- Use stable inputs and expected outputs.\n- Keep schema simple: `inputs` and `outputs` objects (optional `metadata`).\n- Compatibility note: scripts also accept singular keys (`input`, `output`) for legacy datasets.\n\n4. Run evaluation with explicit gates.\n- Use evaluator keys that map to deployment decisions.\n- Set thresholds in CI for regression prevention.\n\n5. Compare versions before rollout.\n- Run same dataset on both versions.\n- Check both quality and latency.\n\n6. Diagnose failures from traces/experiments.\n- Inspect low-scoring examples.\n- Split failures by pattern (routing, tool usage, hallucination, latency spikes).\n\n## Current References (Load On Demand)\n\n### `references/unit-testing-patterns.md`\nLoad when:\n- You need node-level and routing test patterns.\n- You need pytest/vitest/Jest integration patterns.\n- You need robust mocking and flaky-test reduction.\n\n### `references/trajectory-evaluation.md`\nLoad when:\n- You need trajectory match evaluation (`strict`, `unordered`, `subset`, `superset`).\n- You need LLM-as-judge trajectory scoring.\n- You need LangSmith experiment comparison for trajectory results.\n\n### `references/langsmith-evaluation.md`\nLoad when:\n- You need dataset creation/management in LangSmith.\n- You need evaluator signatures and experiment runs in Python/TS.\n- You need CI-friendly workflows with quality thresholds.\n\n### `references/ab-testing.md`\nLoad when:\n- You need offline A/B comparison methodology.\n- You need significance testing and interpretation.\n- You need production traffic split strategy and guardrails.\n\n## Assets\n\n### `assets/templates/test_template.py`\n- Runnable Python pytest template aligned with current LangGraph testing patterns.\n- Includes:\n  - Compiled-graph invocation with `thread_id`\n  - Single-node testing via `compiled_graph.nodes[...]`\n  - Integration-test placeholder\n\n### `assets/datasets/sample_dataset.json`\n- Deterministic seed dataset for LangSmith ingestion.\n- Uses `examples: [{ inputs, outputs, metadata }]` format.\n\n### `assets/examples/README.md`\n- Documentation-only index for current asset usage.\n- Notes where runnable assets live today.\n\n## Script Interface Summary\n\n### `scripts/generate_test_cases.py` / `.js`\nUse for fast test scaffolding.\n\nInputs:\n- Graph module path\n  - Python: `my_module:graph` or `my_module.graph`\n  - JS/TS: `./file.ts:graph`\n\nOutputs:\n- Framework-specific starter tests in target directory.\n\n### `scripts/run_trajectory_eval.py` / `.js`\nUse for trajectory scoring with either:\n- `--method match`\n- `--method llm-judge`\n\nSupports:\n- Local dataset files (`.json`)\n- LangSmith dataset names\n- Optional reference trajectory file with `--reference-trajectory`\n- Match modes: `strict`, `unordered`, `subset`, `superset`\n\nLocal-only mode:\n- `--no-langsmith` in both Python and JavaScript scripts (requires local JSON dataset file)\n\n### `scripts/evaluate_with_langsmith.py` / `.js`\nUse for dataset-based evaluation runs and experiment tracking.\n\nSupports:\n- Existing dataset by name\n- Dataset creation from JSON examples file\n- Multiple evaluators (`--evaluators accuracy,latency,...`)\n- Concurrency control (`--max-concurrency`)\n\nPython-only:\n- `--no-upload` to run without uploading experiment results\n\n### `scripts/compare_agents.py` / `.js`\nUse for offline version comparisons:\n- Shared dataset input\n- Success/latency summaries\n- JSON report output for CI artifacts\n- Local JSON datasets or LangSmith datasets (JS supports `--no-langsmith` to disable remote loading)\n\n### `scripts/mock_llm_responses.py` / `.js`\nUse for deterministic test doubles:\n- single\n- sequence\n- conditional\n\n## Decision Rules\n\nIf behavior is deterministic and local:\n- Use unit tests first.\n\nIf behavior depends on tool sequence/routing:\n- Add trajectory evaluation.\n\nIf behavior depends on realistic distribution quality:\n- Run LangSmith dataset evaluation.\n\nIf approving a replacement model/prompt/graph:\n- Run A/B comparison and check both quality and latency.\n\n## Common Failure Patterns\n\n### Flaky tests\n- Cause: real-model nondeterminism in unit scope.\n- Fix: mock LLM/tool calls for unit tests; reserve real-model tests for separate integration marks.\n\n### High trajectory variance\n- Cause: overly strict matching for workflows with equivalent paths.\n- Fix: switch match mode (`unordered`, `subset`, or `superset`) where appropriate.\n\n### Regressions hidden by averages\n- Cause: only aggregate score monitored.\n- Fix: inspect per-example failures and segment by category metadata.\n\n### Latency regressions with same quality\n- Cause: no explicit latency gate.\n- Fix: include latency evaluator and CI threshold.\n\n## Minimal Best Practices\n\n1. Keep fast deterministic tests as the largest share.\n2. Version datasets and keep them stable.\n3. Track both correctness and latency.\n4. Add explicit go/no-go thresholds in CI.\n5. Compare candidate vs baseline before production rollout.\n6. Investigate failures with trace-level evidence, not only aggregate scores.\n","tagline":"Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two ag","category":"design-creative","tags":["agent-skill"],"author":"soba-labs","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"soba-labs/langchain-agent-skills","creatorName":"soba-labs","creatorUrl":"https://github.com/soba-labs","sourceUrl":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":106,"forks":15,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":37.61},"quality":{"score":67,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"106","tone":"neutral"},{"label":"Freshness","value":"22d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":69,"base_score":77,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["design-creative","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","trust_score":69,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"106 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"106 stars, 15 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"22d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":50,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"106 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"106 stars, 15 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"22d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"106 GitHub stars","repoActivity":"106 stars, 15 forks","lastPushed":"22d since push","license":"MIT","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","install":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","22d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":48,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","48/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","48/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":71,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate langgraph-testing-evaluation before installing it in an agent workflow","design-creative","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation"]},{"id":"trust_score","label":"Trust score","status":"warn","score":77,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","106 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":48,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"22d since push","evidence":["22d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":50,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation/evals","api":"/api/agent/evals?slug=soba-labs-langgraph-testing-evaluation","text":"/api/agent/evals?slug=soba-labs-langgraph-testing-evaluation&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"soba-labs-langgraph-testing-evaluation","name":"langgraph-testing-evaluation","description":"Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.","category":"design-creative","url":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","github_repo":"soba-labs/langchain-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Run test suites","Capture failures"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","LangChain","CLI"],"install":{"command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add soba-labs-langgraph-testing-evaluation"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"langgraph-testing-evaluation\" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"langgraph-testing-evaluation\" as a Claude Code skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"langgraph-testing-evaluation\" from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/soba-labs-langgraph-testing-evaluation/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/soba-labs-langgraph-testing-evaluation"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"106 GitHub stars","repoActivity":"106 stars, 15 forks","lastPushed":"22d since push","license":"MIT","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","install":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":67,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"22d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use langgraph-testing-evaluation in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 48/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"soba-labs-langgraph-testing-evaluation (langgraph-testing-evaluation)","install_command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"soba-labs-langgraph-testing-evaluation","task":"Use langgraph-testing-evaluation in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation","api":"https://www.openagentskill.com/api/agent/skills/soba-labs-langgraph-testing-evaluation","audit":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=soba-labs-langgraph-testing-evaluation&task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/soba-labs-langgraph-testing-evaluation/install","manifest":"https://www.openagentskill.com/api/registry/manifest/soba-labs-langgraph-testing-evaluation"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"soba-labs-langgraph-testing-evaluation","name":"langgraph-testing-evaluation","description":"Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.","category":"design-creative","url":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","github_repo":"soba-labs/langchain-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Run test suites","Capture failures"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","LangChain","CLI"],"install":{"command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add soba-labs-langgraph-testing-evaluation"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"langgraph-testing-evaluation\" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"langgraph-testing-evaluation\" as a Claude Code skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"langgraph-testing-evaluation\" from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/soba-labs-langgraph-testing-evaluation/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/soba-labs-langgraph-testing-evaluation"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"106 GitHub stars","repoActivity":"106 stars, 15 forks","lastPushed":"22d since push","license":"MIT","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","install":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":67,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"22d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use langgraph-testing-evaluation in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 48/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"soba-labs-langgraph-testing-evaluation (langgraph-testing-evaluation)","install_command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"soba-labs-langgraph-testing-evaluation","task":"Use langgraph-testing-evaluation in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation","api":"https://www.openagentskill.com/api/agent/skills/soba-labs-langgraph-testing-evaluation","audit":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=soba-labs-langgraph-testing-evaluation&task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20langgraph-testing-evaluation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/soba-labs-langgraph-testing-evaluation/install","manifest":"https://www.openagentskill.com/api/registry/manifest/soba-labs-langgraph-testing-evaluation"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Testing and QA","description":"I need my agent to test a web app, reproduce bugs, and verify fixes.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"testing-qa","title":"Testing and QA"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","OpenAI Agents","LangChain","CLI","Codex"],"install":{"ready":true,"command":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":106,"starsLabel":"106","forks":15,"license":"MIT","qualityScore":67,"trustScore":77,"auditScore":80},"maintenance":{"status":"fresh","label":"22d since push","daysSincePush":22,"lastPushedAt":"2026-08-17T09:54:15+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"coverageTags":["Coding","Testing and QA","design-creative","agent-skill"]},"audit":{"audit_score":80,"risk_level":"needs_review","risk_label":"Needs review","quality_score":67,"trust_score":77,"maintenance_score":100,"security_score":82,"install_score":92,"warnings":["Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":14.21,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents","LangChain"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add soba-labs/langchain-agent-skills --skill langgraph-testing-evaluation","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add soba-labs-langgraph-testing-evaluation","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"langgraph-testing-evaluation\" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"langgraph-testing-evaluation\" as a Claude Code skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"langgraph-testing-evaluation\" from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"soba-labs-langgraph-testing-evaluation\",\"task\":\"Install langgraph-testing-evaluation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","github_repo":"soba-labs/langchain-agent-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/soba-labs-langgraph-testing-evaluation","repository":"https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langgraph-testing-evaluation","api":"/api/agent/skills/soba-labs-langgraph-testing-evaluation","install_api":"/api/skills/soba-labs-langgraph-testing-evaluation/install"},"meta":{"created_at":"2026-09-07T01:25:36.998565+00:00","updated_at":"2026-09-07T01:25:37.13438+00:00","agent_friendly":true}}