{"eval":{"version":"openagentskill-skill-eval-v1","slug":"omnigent-ai-run-load-test","name":"run-load-test","generated_at":"2026-09-06T23:21:07.775Z","task_input":"Evaluate run-load-test before installing it in an AI agent workflow","status":"review","score":77,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":84,"suited_tasks":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add omnigent-ai/omnigent --skill run-load-test","ready":true,"policy":"review","safety_label":"Review before install","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."}]},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","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":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":85,"risk_level":"safe_to_try","risk_label":"Safe to try","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"]},"safety_gate":{"score":57,"tier":"experimental","label":"Experimental","auto_install_policy":"review","blocked":false,"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"}],"policy_warnings":["High-risk permission hints: Shell or command execution","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."]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate run-load-test before installing it in an AI agent workflow","coding-agents","Local desktop workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add omnigent-ai/omnigent --skill run-load-test"]},{"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 omnigent-ai/omnigent --skill run-load-test"]},{"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","9.6K GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"pass","score":85,"required_for_auto_install":true,"detail":"Safe to try","evidence":["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."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":57,"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":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":62,"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":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["mattpocock-code-review","appsmithorg-appsmith","mattpocock-implement","vercel-react-best-practices"]}],"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","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"],"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."],"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","High-risk permission hints: Shell or command execution","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","Production credentials, payments, or irreversible account changes without explicit human review"],"alternatives":[{"slug":"mattpocock-code-review","name":"Code Review","url":"https://www.openagentskill.com/skills/mattpocock-code-review","stars":168580,"install_command":"npx skills add mattpocock/skills --skill code-review","trust_score":92,"audit_score":93},{"slug":"appsmithorg-appsmith","name":"Appsmith","url":"https://www.openagentskill.com/skills/appsmithorg-appsmith","stars":40812,"install_command":"npx skills add appsmithorg/appsmith","trust_score":92,"audit_score":94},{"slug":"mattpocock-implement","name":"Implement","url":"https://www.openagentskill.com/skills/mattpocock-implement","stars":175741,"install_command":"npx skills add mattpocock/skills --skill implement","trust_score":89,"audit_score":91},{"slug":"vercel-react-best-practices","name":"Vercel React Best Practices","url":"https://www.openagentskill.com/skills/vercel-react-best-practices","stars":30905,"install_command":"npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices","trust_score":92,"audit_score":94}],"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":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Navigate pages","Click and type safely"],"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":77,"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":"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":["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"]},"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":"safe_to_try","risk_label":"Safe to try","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"]},"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":87,"label":"Excellent"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"4d since push","risk":"Safe to try"},"alternative_skills":[{"slug":"mattpocock-code-review","name":"Code Review","url":"https://www.openagentskill.com/skills/mattpocock-code-review","stars":168580,"install_command":"npx skills add mattpocock/skills --skill code-review","trust_score":92,"audit_score":93},{"slug":"appsmithorg-appsmith","name":"Appsmith","url":"https://www.openagentskill.com/skills/appsmithorg-appsmith","stars":40812,"install_command":"npx skills add appsmithorg/appsmith","trust_score":92,"audit_score":94},{"slug":"mattpocock-implement","name":"Implement","url":"https://www.openagentskill.com/skills/mattpocock-implement","stars":175741,"install_command":"npx skills add mattpocock/skills --skill implement","trust_score":89,"audit_score":91},{"slug":"vercel-react-best-practices","name":"Vercel React Best Practices","url":"https://www.openagentskill.com/skills/vercel-react-best-practices","stars":30905,"install_command":"npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices","trust_score":92,"audit_score":94}],"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","High-risk permission hints: Shell or command execution","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","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Evaluate run-load-test before installing it in an AI 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: 85/100 Safe to try","Safety: 57/100 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":"Safe to try; 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":"omnigent-ai-run-load-test","task":"Evaluate run-load-test before installing it in an AI 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=Evaluate%20run-load-test%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20run-load-test%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20run-load-test%20before%20installing%20it%20in%20an%20AI%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"}},"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","eval":"https://www.openagentskill.com/api/agent/evals?slug=omnigent-ai-run-load-test","audit":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20run-load-test%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium"}},"meta":{"endpoint":"/api/agent/evals","mode":"skill_eval","purpose":"Pre-install eval contract for a single skill. Agents should read this before installing a reusable skill.","generated_at":"2026-09-06T23:21:07.776Z"}}