{"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/).","long_description":"---\nname: run-load-test\ndescription: 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/).\n---\n\n# Run the Omnigent load test\n\nDrives `dev/loadtest/` end to end: collect inputs → run → read `summary.md` →\nexplain the latencies. **Each Locust user is a real `omnigent host`** that\nregisters over the host tunnel, creates host-bound sessions, and drives **real\nmulti-turn conversations** — every turn is a genuine post→idle loop through the\nhost's runner, with the **LLM mocked** (zero latency) so the numbers are\nOmnigent's own overhead. `-u N` scales the number of hosts.\n\nIt **boots its own local stack** (server + mock LLM), so there is no server to\npoint at, and it runs **from a repo checkout** only. For single-request latency\nmicro-benchmarks (not concurrency), that is a different tool: `dev/benchmarks/`.\n\n## 1. Ensure deps (repo checkout)\n\n```bash\nuv sync --extra loadtest --extra agents-sdk\n```\n\nRun with that same interpreter (e.g. `.venv/bin/python`), from the repo root.\n\n## 2. Gather inputs\n\nAsk the user (AskUserQuestion when several are unknown); all have defaults.\n\n| Input | Flag | Default | Notes |\n|---|---|---|---|\n| Hosts | `--users` | 4 | Concurrent hosts (N) — the main scale knob. |\n| Spawn rate | `--spawn-rate` | 1 | Hosts started per second. |\n| Run time | `--run-time` | 120s | `40s` / `5m` / `1h`. |\n| Sessions/host | `--sessions-per-user` | 2 | Host-bound sessions each host drives. |\n| Turns/session | `--turns-per-session` | 4 | Turns per session — history grows across them. |\n| Reply length | `--reply-words` | 60 | Words in the mocked (streamed) reply per turn. |\n\n**Capacity caveat — say this to the user if they ask for large N:** turns run on\nreal host + runner subprocesses, so N hosts × M sessions = N×M runner processes\non *this* box. It is capacity-limited by design (real turns, not faked). Start at\n`--users 2 --sessions-per-user 1 --turns-per-session 2 --run-time 40s` to confirm\nthe stack boots (~10-30s), then ramp to a few dozen hosts at most. At high N the\nload box saturates before the server (Locust warns about CPU).\n\n## 3. Run\n\n```bash\npython dev/loadtest/run.py \\\n    --users <N> --spawn-rate <R> --run-time <T> \\\n    --sessions-per-user <S> --turns-per-session <TU>\n```\n\nIt boots the stack, prints the server URL + registered agent, runs Locust, and\nwrites `dev/loadtest/results/omnigent_load_test-<timestamp>/`.\n\n## 4. Read and explain\n\n`Read` the `summary.md` and relay it. Focus on:\n\n- **Outcome / failures** first. Exit 0 + 0 failures = PASS. Non-zero failures are\n  the headline — check `console.log` and, for a host that failed to register,\n  the per-host `results/.../host-workspaces/<name>/host.log`. At high N, failures\n  usually mean the *load box* saturated, not the server.\n- **turn** — the headline latency: one full post→idle agent turn on a host's\n  runner (mocked LLM), so it is Omnigent's per-turn overhead. It **grows across a\n  conversation** as history accumulates, so a rising p95/p99 with larger\n  `--turns-per-session` is expected and is the interesting signal.\n- **host online** — host tunnel registration cost; **session create** — the\n  host-bound create; **Ops/s** — aggregate throughput at this concurrency.\n\nIf failures appeared or the tail looks high, suggest a concrete next step (lower\nN if the load box is saturated, raise `--turns-per-session` to study history\ngrowth, lengthen `--run-time` for steady state, or check server logs/metrics).\n\n## Notes\n\n- Scenario file: `dev/loadtest/omnigent_load_test.py`; driver + report:\n  `dev/loadtest/run.py`. Full reference: `dev/loadtest/README.md`.\n","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":"omnigent-ai","verified":false,"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,"successful_runs":0,"total_outcomes":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-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"},{"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":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 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":62,"weight":0.07,"status":"info","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/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; 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no explicit warning against running it on untrusted code.","Quality score needs review"],"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_v5":{"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. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"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":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 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":62,"weight":0.07,"status":"info","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/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; 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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":"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 omnigent-ai/omnigent --skill run-load-test"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, 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"],"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"},"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"]},"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"]},"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":57,"level":"review_before_install","label":"Review before 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","57/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","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."],"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","57/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","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},"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."],"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 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":"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/omnigent-ai-run-load-test/evals","api":"/api/agent/evals?slug=omnigent-ai-run-load-test","text":"/api/agent/evals?slug=omnigent-ai-run-load-test&format=text"}},"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":["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":[],"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":"Use run-load-test 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: 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":"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":["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":[],"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":"Use run-load-test 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: 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":"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"}},"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":"local-desktop","title":"Local desktop"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"research-agents","title":"Research 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":77,"auditScore":85},"maintenance":{"status":"fresh","label":"4d since push","daysSincePush":4,"lastPushedAt":"2026-09-02T08:31:29+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","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"]},"coverageTags":["Coding","Testing and QA","coding-agents","agent-skill"]},"audit":{"audit_score":85,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":87,"trust_score":77,"maintenance_score":100,"security_score":78,"install_score":92,"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"]},"quality_signals":{"model":"v2","star_score":27.88,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"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"}],"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 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","urls":{"web":"https://www.openagentskill.com/skills/omnigent-ai-run-load-test","repository":"https://github.com/omnigent-ai/omnigent/tree/main/.claude/skills/run-load-test","api":"/api/agent/skills/omnigent-ai-run-load-test","install_api":"/api/skills/omnigent-ai-run-load-test/install"},"meta":{"created_at":"2026-09-02T08:32:20.066586+00:00","updated_at":"2026-09-02T08:32:20.17891+00:00","agent_friendly":true}}