{"query":"run-load-test","filters":{"category":null,"platform":null,"track":null,"safety":null,"include_blocked":false,"min_stars":0},"total":1,"skills":[{"rank":1,"match_type":"exact","match_score":99,"raw_match_score":1214.7,"semantic_relevance":100,"ranking_signals":{"retrieval":1182,"semantic":100,"quality":12.7,"projectPopularity":19.9,"verifiedOutcomes":0,"verifiedSource":0},"slug":"omnigent-ai-run-load-test","name":"run-load-test","description":"Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/).","tagline":"Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test re","category":"coding-agents","tags":["agent-skill"],"author":{"name":"omnigent-ai","verified":false,"url":"https://github.com/omnigent-ai"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"omnigent-ai/omnigent","creatorName":"omnigent-ai","creatorUrl":"https://github.com/omnigent-ai","sourceUrl":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test#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":9609,"forks":1485,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":50.98},"quality":{"score":87,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.6K","tone":"positive"},{"label":"Freshness","value":"4d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code."]},"trust":{"version":"trust-score-v4","score":76,"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":94,"weight":0.13,"status":"pass","detail":"9.6K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":93,"weight":0.08,"status":"pass","detail":"9.6K stars, 1.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":52,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add omnigent-ai/omnigent --skill run-load-test"},{"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":86,"weight":0.07,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","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":"pass","label":"GitHub adoption","detail":"9.6K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"9.6K stars, 1.5K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add omnigent-ai/omnigent --skill run-load-test"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test"},{"status":"info","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","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"9.6K GitHub stars","repoActivity":"9.6K stars, 1.5K forks","lastPushed":"4d since push","license":"Apache-2.0","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","install":"npx skills add omnigent-ai/omnigent --skill run-load-test","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add omnigent-ai/omnigent --skill run-load-test","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","4d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":["coding-agents","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":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":69,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","69/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"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"}],"policy_warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code."],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","69/100 agent safety score"]},"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":"testing-qa","title":"Testing and QA"},{"slug":"local-desktop","title":"Local desktop"},{"slug":"coding-agents","title":"Coding agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add omnigent-ai/omnigent --skill run-load-test","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":9609,"starsLabel":"9.6K","forks":1485,"license":"Apache-2.0","qualityScore":87,"trustScore":76,"auditScore":85},"maintenance":{"status":"fresh","label":"4d since push","daysSincePush":4,"lastPushedAt":"2026-09-02T08:31:29+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Needs review"]},"coverageTags":["Coding","Testing and QA","coding-agents","agent-skill"]},"audit":{"audit_score":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"decision":{"readiness_score":98,"readiness_label":"Production-ready","headline":"Primary pick for Testing and QA","role":"Primary pick","primary_fit":"Testing and QA","best_for":["Testing and QA workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Testing and QA task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"omnigent-ai-run-load-test","name":"run-load-test","description":"Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/).","category":"coding-agents","url":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","github_repo":"omnigent-ai/omnigent"},"suited_tasks":["Testing and QA workflows","Claude Code teams","teams that value GitHub adoption signals","Run test suites","Capture failures","Report what changed after a fix","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add omnigent-ai/omnigent --skill run-load-test","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 omnigent-ai-run-load-test"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"run-load-test\" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" as a Claude Code skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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/omnigent-ai-run-load-test/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/omnigent-ai-run-load-test"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"9.6K GitHub stars","repoActivity":"9.6K stars, 1.5K forks","lastPushed":"4d since push","license":"Apache-2.0","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","install":"npx skills add omnigent-ai/omnigent --skill run-load-test","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Thin public metadata","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":["coding-agents","agent-skill"],"known_risks":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":87,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"4d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","No OpenAgentSkill engagement data yet","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use run-load-test in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 85/100 Needs review","Safety: 69/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"omnigent-ai-run-load-test (run-load-test)","install_command":"npx skills add omnigent-ai/omnigent --skill run-load-test","risk_summary":"Needs review; Reviewed with permission notes; 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":"omnigent-ai-run-load-test","task":"Use run-load-test 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/omnigent-ai-run-load-test","api":"https://www.openagentskill.com/api/agent/skills/omnigent-ai-run-load-test","audit":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=omnigent-ai-run-load-test&task=Use%20run-load-test%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20run-load-test%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20run-load-test%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/omnigent-ai-run-load-test/install","manifest":"https://www.openagentskill.com/api/registry/manifest/omnigent-ai-run-load-test"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"omnigent-ai-run-load-test","name":"run-load-test","description":"Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/).","category":"coding-agents","url":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","github_repo":"omnigent-ai/omnigent"},"suited_tasks":["Testing and QA workflows","Claude Code teams","teams that value GitHub adoption signals","Run test suites","Capture failures","Report what changed after a fix","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add omnigent-ai/omnigent --skill run-load-test","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 omnigent-ai-run-load-test"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"run-load-test\" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" as a Claude Code skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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/omnigent-ai-run-load-test/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/omnigent-ai-run-load-test"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"9.6K GitHub stars","repoActivity":"9.6K stars, 1.5K forks","lastPushed":"4d since push","license":"Apache-2.0","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","install":"npx skills add omnigent-ai/omnigent --skill run-load-test","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Thin public metadata","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":["coding-agents","agent-skill"],"known_risks":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":87,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"4d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill invokes local code execution (uv sync and dev/loadtest/run.py), so it should be used only in a trusted repository checkout; no explicit warning against running it on untrusted code.","No OpenAgentSkill engagement data yet","The generated summary.md is read and relayed by the agent; if the load test output were ever tampered with, it could inject instructions into the agent context, though this is a low-risk local-file scenario.","Quality score needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use run-load-test in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 76/100 Strong shortlist","Audit: 85/100 Needs review","Safety: 69/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"omnigent-ai-run-load-test (run-load-test)","install_command":"npx skills add omnigent-ai/omnigent --skill run-load-test","risk_summary":"Needs review; Reviewed with permission notes; 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":"omnigent-ai-run-load-test","task":"Use run-load-test 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/omnigent-ai-run-load-test","api":"https://www.openagentskill.com/api/agent/skills/omnigent-ai-run-load-test","audit":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=omnigent-ai-run-load-test&task=Use%20run-load-test%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20run-load-test%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20run-load-test%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/omnigent-ai-run-load-test/install","manifest":"https://www.openagentskill.com/api/registry/manifest/omnigent-ai-run-load-test"}},"platforms":["Claude Code"],"use_cases":[{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"install":"npx skills add omnigent-ai/omnigent --skill run-load-test","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 omnigent-ai-run-load-test","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 \"run-load-test\" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" as a Claude Code skill from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test. 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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 \"run-load-test\" from https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test 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: Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency (\"load test omnigent\", \"stress test the server\", \"how many hosts/sessions/turns can it handle\", \"load test real agent turns / conversations\", \"run a load test\"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/). 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\":\"omnigent-ai-run-load-test\",\"task\":\"Install run-load-test\",\"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/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","github_repo":"omnigent-ai/omnigent","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-09-02T08:32:20.17891+00:00","canonical_key":"omnigent-ai/omnigent#.claude/skills/run-load-test","recommendation_reasons":["Matches task terms: run, load, test","Useful GitHub adoption: 9,609 stars","Install handoff is available","Repository freshness signal is available","Registry match score 99"],"urls":{"web":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test","api":"https://www.openagentskill.com/api/agent/skills/omnigent-ai-run-load-test","install_api":"https://www.openagentskill.com/api/skills/omnigent-ai-run-load-test/install","audit":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test/audit","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/resolve","ranking_model":"hybrid-v2-task-fit-quality-outcomes","shortlist_policy":"Return one best match plus up to four distinct alternatives; suppress unrelated direct-name matches.","lookup_intent":true,"exact_match_found":true,"match_counts":{"exact":1,"near":0,"related":0},"no_match_message":null,"safety_policy":"Blocked candidates are excluded by default. Pass include_blocked=true only for manual audit workflows.","agent_friendly":true,"api_version":"1.0","generated_at":"2026-09-06T22:35:25.855Z"}}