{"slug":"alirezarezvani-agent-launcher-orchestrator","name":"agent-launcher-orchestrator","description":"Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM","long_description":"---\nname: agent-launcher-orchestrator\ndescription: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).\ncontext: fork\nversion: 2.11.2\nauthor: Alireza Rezvani\nlicense: MIT\ntags: [claude-managed-agents, cma, agent, launch, orchestrator, session-goal, loop, workflow, cron, outcome, byok]\ncompatible_tools: [claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli]\n---\n\n# agent-launcher — Domain Orchestrator\n\nEvery session starts with a **goal** — one sentence for one CMA. This orchestrator\nreads that goal, routes to the right phase, and compiles the goal into a **loop or\na workflow**. Heavy intake stays in the forked context; the parent gets a digest.\n\nInspired by Anthropic's `launch-your-agent` reference skill (Apache-2.0). This is\nan independent re-implementation; CMA semantics come from\n[`../../references/cma-primitives.md`](../../references/cma-primitives.md).\n\n## The through-line: the session goal\n\nState lives at `./my-agent/goal.json` (the user's folder). Manage it with\n`goal_state.py` (init / set / status / advance) — it also backs the `/cs:goal`\ncommand and the opt-in `SessionStart` hook. The goal's `phase` selects the lane;\nthe phase + recurrence selects the loop shape.\n\n## Routing (deterministic)\n\nRun the router, then act on its exit code:\n\n```bash\npython3 scripts/goal_router.py --out-dir ./my-agent\n# exit 0 ROUTE  -> fork to the named phase sub-skill\n# exit 3 ASK    -> ask the one printed forcing question, then re-route\n# exit 4 REFUSE -> goal too vague; get one sentence, then re-route\n```\n\n| Lane (phase) | Sub-skill | Loop/workflow |\n|---|---|---|\n| interview | `interview` | single-pass workflow |\n| stage-launch | `stage-launch` | single-pass workflow |\n| grade-iterate | `grade-iterate` | **bounded grade→iterate loop** |\n| run-without-you | `run-without-you` | **recurring cron deployment loop** |\n| wrap-up | `wrap-up` | — |\n\n## Compile the loop\n\n```bash\npython3 scripts/loop_compiler.py \\\n  --out-dir ./my-agent --max-iterations 5 --cron \"0 9 * * *\" --timezone Europe/Berlin --nest-outcome\n```\n\n`loop_compiler.py` emits `plan.v1`: `single-pass`, `grade-iterate` (always with a\n`max_iterations` cap 1..20), or `cron-loop` (optionally nesting a self-grading\noutcome per firing). See [`../../references/loops-and-workflows.md`](../../references/loops-and-workflows.md).\n\n## Pre-flight gates (hard refusals)\n\n1. **No goal set.** If `goal.json` is missing, run\n   `goal_state.py init --goal \"...\"` first. The orchestrator does not guess a goal.\n2. **Goal too vague.** Router exit 4 — get one sentence naming the one job before\n   routing. Never route on under-3-word goals.\n3. **Never make API calls.** Emit BYOK curl; the user runs it with their own\n   `$ANTHROPIC_API_KEY`. No script in this plugin touches the network.\n4. **Never print the key.** Launch scripts read the key from the environment.\n\n## Hand-off contract\n\nAfter routing, fork to the sub-skill with: the goal string, `agent_name`,\n`out_dir` (`./my-agent`), and the compiled `plan.v1`. When the sub-skill returns,\n`goal_state.py advance` moves the phase and the parent gets a ≤100-word digest\n(phase done, artifact paths, loop shape, one next step).\n\n## Forcing-question library (walk one at a time; recommend + cite)\n\n1. **\"What one job should this agent do end-to-end?\"** — *Recommend:* the single\n   most repeated task. *Cite:* interview-to-config.md (six intake slots). Refuse to\n   route a two-job goal; split into two `./my-agent-*/` folders.\n2. **\"What kicks it off — you ask it, an event, or a schedule?\"** — *Recommend:*\n   on-demand for v0, schedule as the Phase-4 upgrade. *Cite:* loops-and-workflows.md.\n3. **\"How would you grade a good run?\"** — *Recommend:* 3–5 rubric lines grounded\n   in the output. *Cite:* cma-primitives.md (outcomes; rubric required).\n4. **\"Is a real integration ready, or do we mock it in v0?\"** — *Recommend:* mock\n   with a schema-true custom tool; wire the MCP server as v1. *Cite:* interview-to-config.md.\n5. **\"Should run #10 be smarter than run #1?\"** — *Recommend:* attach a memory\n   store only if yes; else skip it. *Cite:* cma-primitives.md (memory limits + injection risk).\n\n## Tools\n\n- `scripts/goal_state.py` — own `goal.json` (init/set/status/advance).\n- `scripts/goal_router.py` — goal → lane (exit 0 route / 3 ask / 4 refuse).\n- `scripts/loop_compiler.py` — goal+phase → `plan.v1` execution shape.\n","tagline":"Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-se","category":"research","tags":["claude-managed-agents","cma","agent","launch","orchestrator","session-goal","loop","workflow","cron","outcome"],"author":"Alireza Rezvani","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"alirezarezvani/claude-skills","creatorName":"Alireza Rezvani","creatorUrl":"https://github.com/alirezarezvani","sourceUrl":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator#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":25064,"forks":3534,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":58.04},"quality":{"score":95,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"25K","tone":"positive"},{"label":"Freshness","value":"10d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls."]},"trust":{"version":"trust-score-v5","score":68,"base_score":76,"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":["68/100 Trust Score v5","76/100 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":100,"weight":0.13,"status":"pass","detail":"25K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"25K stars, 3.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"10d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":84,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":50,"weight":0.07,"status":"warn","detail":"shell or command execution, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator"},{"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":"25K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"25K stars, 3.5K forks; 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ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","trust_score":68,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"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 underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":76,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":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":100,"weight":0.13,"status":"pass","detail":"25K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"25K stars, 3.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"10d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":84,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":50,"weight":0.07,"status":"warn","detail":"shell or command execution, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator"},{"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":"25K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"25K stars, 3.5K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"10d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator"},{"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":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"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 underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"evidence":{"stars":"25K GitHub stars","repoActivity":"25K stars, 3.5K forks","lastPushed":"10d since push","license":"MIT","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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","10d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"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 underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":58,"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":["High-risk permission hints: Shell or command execution","58/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["High-risk permission hints: Shell or command execution","58/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":81,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, network or browser access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, network or browser access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate agent-launcher-orchestrator before installing it in an agent workflow","research","Workflow automation 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 alirezarezvani/claude-skills --skill agent-launcher-orchestrator"]},{"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 alirezarezvani/claude-skills --skill agent-launcher-orchestrator"]},{"id":"trust_score","label":"Trust score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","25K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":86,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":58,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":84,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"10d since push","evidence":["10d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":50,"required_for_auto_install":true,"detail":"shell or command execution, network or browser access","evidence":["Shell or command execution: high","Network access: medium","Database 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/alirezarezvani-agent-launcher-orchestrator/evals","api":"/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator","text":"/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"alirezarezvani-agent-launcher-orchestrator","name":"agent-launcher-orchestrator","description":"Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM","category":"research","url":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","github_repo":"alirezarezvani/claude-skills"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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 alirezarezvani-agent-launcher-orchestrator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agent-launcher-orchestrator\" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" as a Claude Code skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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/alirezarezvani-agent-launcher-orchestrator/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"25K GitHub stars","repoActivity":"25K stars, 3.5K forks","lastPushed":"10d since push","license":"MIT","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser 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":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"known_risks":["The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":86,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"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":95,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"10d 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 underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"agent_contract":{"task_input":"Use agent-launcher-orchestrator 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: 86/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"alirezarezvani-agent-launcher-orchestrator (agent-launcher-orchestrator)","install_command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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":"alirezarezvani-agent-launcher-orchestrator","task":"Use agent-launcher-orchestrator 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/alirezarezvani-agent-launcher-orchestrator","api":"https://www.openagentskill.com/api/agent/skills/alirezarezvani-agent-launcher-orchestrator","audit":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator&task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/alirezarezvani-agent-launcher-orchestrator/install","manifest":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"alirezarezvani-agent-launcher-orchestrator","name":"agent-launcher-orchestrator","description":"Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM","category":"research","url":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","github_repo":"alirezarezvani/claude-skills"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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 alirezarezvani-agent-launcher-orchestrator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"agent-launcher-orchestrator\" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" as a Claude Code skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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/alirezarezvani-agent-launcher-orchestrator/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"25K GitHub stars","repoActivity":"25K stars, 3.5K forks","lastPushed":"10d since push","license":"MIT","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, network or browser 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":["research","claude-managed-agents","cma","agent","launch","orchestrator"],"known_risks":["The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":86,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"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":95,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"10d 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 underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"],"agent_contract":{"task_input":"Use agent-launcher-orchestrator 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: 86/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"alirezarezvani-agent-launcher-orchestrator (agent-launcher-orchestrator)","install_command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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":"alirezarezvani-agent-launcher-orchestrator","task":"Use agent-launcher-orchestrator 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/alirezarezvani-agent-launcher-orchestrator","api":"https://www.openagentskill.com/api/agent/skills/alirezarezvani-agent-launcher-orchestrator","audit":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=alirezarezvani-agent-launcher-orchestrator&task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20agent-launcher-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/alirezarezvani-agent-launcher-orchestrator/install","manifest":"https://www.openagentskill.com/api/registry/manifest/alirezarezvani-agent-launcher-orchestrator"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"}]},"applicableAgents":["Claude Code","OpenAI Agents","Cursor","CLI","Codex"],"install":{"ready":true,"command":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":25064,"starsLabel":"25K","forks":3534,"license":"MIT","qualityScore":95,"trustScore":76,"auditScore":86},"maintenance":{"status":"fresh","label":"10d since push","daysSincePush":10,"lastPushedAt":"2026-08-27T12:40:08+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"coverageTags":["Research","RAG and knowledge","claude-managed-agents","cma","agent","launch","orchestrator","session-goal"]},"audit":{"audit_score":86,"risk_level":"needs_review","risk_label":"Needs review","quality_score":95,"trust_score":76,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Permission surface may require sandboxing","The underlying Python scripts (goal_router.py, loop_compiler.py, goal_state.py) are not included in the submission, so their behavior cannot be fully audited; ensure they do not execute untrusted content from goal.json or make unintended network calls.","The SKILL.md excerpt ends mid-sentence in the forcing-question library, which may indicate truncation in the submitted documentation; verify the full file is present and complete.","Permission surface needs review: shell or command execution, network or browser access","Permission surface: shell or command execution, network or browser access"]},"quality_signals":{"model":"v2","star_score":30.79,"usage_score":0,"review_score":5.25,"metadata_score":7,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents","Cursor"],"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add alirezarezvani/claude-skills --skill agent-launcher-orchestrator","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 alirezarezvani-agent-launcher-orchestrator","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 \"agent-launcher-orchestrator\" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" as a Claude Code skill from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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 \"agent-launcher-orchestrator\" from https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — \"build me an agent\", \"launch this as a managed agent\", \"run this on a schedule\", \"grade my agent against a rubric\", \"set up a nightly worker\". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CM 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\":\"alirezarezvani-agent-launcher-orchestrator\",\"task\":\"Install agent-launcher-orchestrator\",\"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/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","github_repo":"alirezarezvani/claude-skills","version":"2.11.2","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/alirezarezvani-agent-launcher-orchestrator","repository":"https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agent-launcher-orchestrator","api":"/api/agent/skills/alirezarezvani-agent-launcher-orchestrator","install_api":"/api/skills/alirezarezvani-agent-launcher-orchestrator/install"},"meta":{"created_at":"2026-08-27T13:22:51.640846+00:00","updated_at":"2026-09-01T11:59:28.941454+00:00","agent_friendly":true}}