{"slug":"wanshuiyin-experiment-queue","name":"experiment-queue","description":"SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration.","long_description":"---\nname: experiment-queue\ndescription: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration.\nargument-hint: \"[manifest-or-grid-spec]\"\nallowed-tools: Bash(*), Read, Grep, Glob, Edit, Write, Skill(run-experiment), Skill(monitor-experiment)\n---\n\n# Experiment Queue\n\n> ⏱ **External cadence: visibility only.** This skill already runs its own\n> detached server-side scheduler (60s poll + `depends_on` + wave transitions).\n> Use its status output for overnight visibility (N done / N running / N\n> pending); do **not** wrap it in a second `/loop` / `CronCreate` poll — that\n> duplicates the scheduler on an uncoordinated clock and races the\n> wave-transition logic it was built to prevent. See\n> [`shared-references/external-cadence.md`](../shared-references/external-cadence.md)\n> (\"don't duplicate an existing scheduler\").\n\nOrchestrate large batches of ML experiments on SSH remote GPU servers with proper state tracking, OOM retry, stale cleanup, and wave transitions.\n\n## When to Use This Skill\n\nUse when `/run-experiment` is insufficient:\n- **≥10 jobs** that need batching across GPUs\n- **Multi-seed sweeps** (e.g., 21 seeds × 12 cells)\n- **Wave transitions** (run wave 1, wait, run wave 2, wait, run wave 3...)\n- **Teacher+student chains** (train teacher then distill; auto-trigger student after teacher done)\n- **OOM-prone configs** where you need to retry with different GPU or wait\n- **Mixed seed grids** where failed cells need re-running\n\nDo NOT use for:\n- Single ad-hoc experiment (use `/run-experiment`)\n- Modal/Vast.ai deployments (those have their own orchestration)\n- Experiments that need manual inspection between runs\n\n## Why This Exists\n\nBased on session audit (2026-04-16), the major wall-clock sinks in multi-seed grid experiments are:\n\n1. **Stale screens** — python finishes, wandb uploads, screen hangs, next wave blocked\n2. **OOM on shared GPU** — previous job's memory not yet released\n3. **Wave race** — new wave launches before previous wave fully settles\n4. **Missing checkpoints** — student launches before teacher saved\n5. **Parser duplication** — rewriting multi-seed analysis python every batch\n\nAll of these are pure engineering friction that can be orchestrated.\n\n## Core Concepts\n\n> **Environment contract**: queue jobs assume the target env is already built\n> and validated per `../shared-references/compute-env-contract.md` (spec-hash\n> ledger + kernel witness). A wave of jobs dying at import time = the env\n> contract was skipped, not a queue bug; check the provider's\n> `.aris/compute/<provider>.md` ledger before re-queueing.\n\n### Job Manifest\n\nA manifest lists jobs with explicit state:\n\n```yaml\nproject: my_grid_experiment\ncwd: /home/user/your_project\nconda: my_env\n# Optional: override conda hook path if conda is not at a standard location.\n# Can be a bare path (wrapped automatically) or a full `eval \"$(... shell.bash hook)\"` string.\n# Falls back to auto-detect of ~/anaconda3, ~/miniconda3, /opt/anaconda3, etc.,\n# or the ARIS_CONDA_HOOK environment variable.\n# conda_hook: /custom/path/to/conda\nssh: gpu-server\ndefault_cmd: >\n  python run_distill.py --backbone softmax --lam 0.5\n  --K 500 --L 96 --W 16 --n_steps 30000 --batch_size 128 --lr 1e-4\n\npreconditions:\n  - type: checkpoint_exists\n    path: checkpoints/transformer/teacher_L96_K500_N{N}.pt\n\ngpus: [0, 1, 2, 3, 4, 5, 6, 7]\nmax_parallel: 8\ngpu_free_threshold_mib: 500  # optional, default 500; raise for shared servers, lower for tight packing\noom_retry:\n  delay: 120\n  max_attempts: 3\n\njobs:\n  - id: s200_N64_n50K\n    args: {seed: 200, n_hidden: 64, n_train_subset: 50000, subset_seed: 2024}\n  - id: s200_N128_n50K\n    args: {seed: 200, n_hidden: 128, n_train_subset: 50000, subset_seed: 2024}\n  # ... 14 more\n```\n\n### Job State Machine\n\n```\npending → running → completed\n                 ↘ failed_oom → pending (after delay) [retry up to N]\n                 ↘ failed_other → stuck (needs manual inspection)\nstale screen (process gone, screen lingering) → failed_other → stuck\n```\n\n> **Operator note on `stuck` (the agent's move, not the queue's):** the queue\n> deterministically parks `failed_other` jobs as `stuck` — that part is code and\n> unchanged. Before handing a `stuck` batch to the human, the OPERATING AGENT\n> should check: if the same failure repeats across jobs, try ONE clean\n> reimplement of the **agent-generated wrapper/attempt script only** — never\n> user/project source (`run_*.py` you didn't write), the manifest, queue state,\n> logs, or results (see `shared-references/external-cadence.md` § *Let a broken\n> attempt restart, not just patch*). Reserve the human handoff for\n> contract/environment doubts, not merely broken attempt code.\n\n### Wave Orchestration\n\nA \"wave\" is a batch of jobs that fit available GPUs. Next wave only starts when:\n1. All current-wave python processes have exited\n2. No stale screens remain for current-wave tags\n3. GPU memory has dropped below threshold (≤500 MiB)\n4. Precondition checks pass for next-wave jobs\n\n## Workflow\n\n### Step 1: Parse Manifest / Build from Grid\n\nInput can be:\n- **YAML manifest** (explicit job list, recommended for complex cases)\n- **Grid spec** (Cartesian product of param values, e.g., `N=[64,128,256] × n=[50K,150K,500K,652K]`)\n- **Natural language description** (Claude parses into manifest)\n\nBind the run identifiers once so every later step (manifest save, scp, launch, monitor, resume) refers to the same paths. Set these as local shell variables before generating the manifest:\n\n```bash\n# REPLACE the placeholder path before running, or pre-export PROJECT_DIR:\nPROJECT_DIR=\"${PROJECT_DIR:?set PROJECT_DIR to the local project root}\"\nRUN_TS=$(date -u +%Y%m%dT%H%M%SZ)             # one timestamp per run, reused everywhere\nLOCAL_RUN_DIR=\"$PROJECT_DIR/experiment_queue/$RUN_TS\"\nmkdir -p \"$LOCAL_RUN_DIR\"\n```\n\nSave the built manifest to `$LOCAL_RUN_DIR/manifest.json` for reproducibility.\n\n### Step 2: Pre-flight\n\n- Check SSH connection works\n- Check conda env exists on remote\n- Check `cwd` exists on remote\n- Check all preconditions (checkpoints, input files)\n- Check GPU availability (at least `max_parallel` free GPUs)\n\nIf any precondition fails, show user which jobs are blocked and why.\n\n### Step 3: Launch Scheduler\n\nThe canonical scheduler implementation lives in `skills/experiment-queue/scripts/queue_manager.py` (Phase 3.3 move, Arch C). `tools/experiment_queue/queue_manager.py` is now a Python `os.execv` shim retained for legacy resolver-chain compatibility. Three preliminaries before launch.\n\n**3a. Resolve the local helper directory.** The two helpers (`queue_manager.py`, `build_manifest.py`) now sit under `skills/experiment-queue/scripts/` in the ARIS repo, with shims at `tools/experiment_queue/` for legacy resolver layers. Use this hybrid chain so the skill works from any project layout:\n\n```bash\n# Layer 0: self-contained (CC 1.0+ exposes $CLAUDE_SKILL_DIR).\nQUEUE_TOOLS=\"\"\nif [ -n \"${CLAUDE_SKILL_DIR:-}\" ] && [ -f \"$CLAUDE_SKILL_DIR/scripts/queue_manager.py\" ]; then\n  QUEUE_TOOLS=\"$CLAUDE_SKILL_DIR/scripts\"\nfi\n# Layers 1-4: legacy chain via tools/experiment_queue/ shims.\nif [ -z \"$QUEUE_TOOLS\" ]; then\n  cd \"$(git rev-parse --show-toplevel 2>/dev/null || pwd)\" || exit 1\n  if [ -z \"${ARIS_REPO:-}\" ] && [ -f .aris/installed-skills.txt ]; then\n      ARIS_REPO=$(awk -F'\\t' '$1==\"repo_root\"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true\n  fi\n  if [ -z \"${ARIS_REPO:-}\" ] && [ -f \"$HOME/.aris/repo\" ]; then\n      ARIS_REPO=$(cat \"$HOME/.aris/repo\" 2>/dev/null) || true\n  fi\n  QUEUE_TOOLS=\".aris/tools/experiment_queue\"\n  [ -f \"$QUEUE_TOOLS/queue_manager.py\" ] || QUEUE_TOOLS=\"tools/experiment_queue\"\n  [ -f \"$QUEUE_TOOLS/queue_manager.py\" ] || { [ -n \"${ARIS_REPO:-}\" ] && QUEUE_TOOLS=\"$ARIS_REPO/tools/experiment_queue\"; }\n  [ -f \"$QUEUE_TOOLS/queue_manager.py\" ] || QUEUE_TOOLS=\"\"\nfi\n[ -z \"$QUEUE_TOOLS\" ] && { echo \"ERROR: experiment_queue helpers not found (layer 0: \\$CLAUDE_SKILL_DIR/scripts/; layers 1-4: .aris/tools/, tools/, \\$ARIS_REPO/tools/, \\$ARIS_REPO/tools/ via ~/.aris/repo). Rerun install_aris.sh or smart_update.sh (refreshes ~/.aris/repo), set ARIS_REPO, or copy the canonical scripts from \\$ARIS_REPO/skills/experiment-queue/scripts/.\" >&2; exit 1; }\n```\n\nThe `.aris/tools` symlink is set up by `install_aris.sh` (#174). Older installs without that symlink fall through to `tools/experiment_queue` (works if invoked from inside the ARIS repo), `$ARIS_REPO/tools/experiment_queue`, or the same path resolved via the global pointer file `~/.aris/repo` (#366, for installs with no project-local manifest). After Phase 3.3, each of those legacy paths contains a Python `os.execv` shim that forwards to the canonical `skills/experiment-queue/scripts/` location, so existing users do not need to re-run anything.\n\n**3b. Compute remote paths.** Use both a remote-relative form (for `scp` destinations — modern `scp` runs in SFTP mode and does NOT reliably expand `$HOME` in destination paths) and a `$HOME`-prefixed form (for `ssh ... command` strings, where remote bash WILL expand `$HOME`):\n\n```bash\nREMOTE_RUN_REL=\".aris_queue/runs/$RUN_TS\"          # for scp destinations (relative to remote home)\nREMOTE_RUN_DIR=\"\\$HOME/$REMOTE_RUN_REL\"            # for ssh command strings (literal $HOME, expanded on remote)\n```\n\n**3c. Bootstrap the remote run directory and copy helpers + manifest.** Per-invocation and idempotent. Use a unique run directory rather than `/tmp` so concurrent queues do not collide and so resume-after-crash is reproducible.\n\n```bash\nssh <server> \"mkdir -p \\\"$REMOTE_RUN_DIR/logs\\\" \\\"\\$HOME/.aris_queue\\\"\"\nscp \"$QUEUE_TOOLS/queue_manager.py\" \"$QUEUE_TOOLS/build_manifest.py\" <server>:.aris_queue/\nscp \"$LOCAL_RUN_DIR/manifest.json\" <server>:\"$REMOTE_RUN_REL/manifest.json\"\n```\n\n**3d. Launch the scheduler as a detached `nohup` process on the SSH host:**\n\n```bash\nssh <server> \"nohup python3 \\\"\\$HOME/.aris_queue/queue_manager.py\\\" \\\\\n  --manifest \\\"$REMOTE_RUN_DIR/manifest.json\\\" \\\\\n  --state    \\\"$REMOTE_RUN_DIR/queue_state.json\\\" \\\\\n  --log-dir  \\\"$REMOTE_RUN_DIR/logs\\\" \\\\\n  > \\\"$REMOTE_RUN_DIR/queue_mgr.log\\\" 2>&1 &\"\n```\n\nNotes for callers:\n- `--log-dir` is what `queue_manager.py` actually consumes (per-job log files for OOM detection). Do NOT pass `--log <path>` — that flag is declared but unused, and a single combined log breaks the per-job stale-screen / OOM heuristics.\n- Persist `RUN_TS` / `REMOTE_RUN_REL` / `REMOTE_RUN_DIR` to disk so monitoring and resume can reload them without regenerating:\n\n  ```bash\n  {\n    printf 'PROJECT_DIR=%q\\n'    \"$PROJECT_DIR\"\n    printf 'RUN_TS=%q\\n'         \"$RUN_TS\"\n    printf 'LOCAL_RUN_DIR=%q\\n'  \"$LOCAL_RUN_DIR\"\n    printf 'REMOTE_RUN_REL=%q\\n' \"$REMOTE_RUN_REL\"\n    printf 'REMOTE_RUN_DIR=%q\\n' \"$REMOTE_RUN_DIR\"\n  } > \"$LOCAL_RUN_DIR/run_meta.txt\"\n  ```\n\n  `%q` shell-escapes the values so the file is safely sourceable later. Note that `REMOTE_RUN_DIR` keeps a literal `$HOME` (do not expand it locally), which is the right form for re-use inside `ssh \"...\"` strings later.\n\n**3e. Resume an existing queue (only when the user asks).** A fresh `RUN_TS` per invocation is correct for *new* queues. To resume a crashed queue, do NOT regenerate `RUN_TS` — reload the recorded values and re-run only the launch command (Step 3d), not the bootstrap (Step 3c):\n\n```bash\nLOCAL_RUN_DIR=\"/abs/path/to/project/experiment_queue/<existing-run-ts>\"   # the run dir to resume\n. \"$LOCAL_RUN_DIR/run_meta.txt\"                                            # reloads PROJECT_DIR / RUN_TS / REMOTE_RUN_REL / REMOTE_RUN_DIR\n# Then re-run Step 3d verbatim. Do NOT re-run Step 3c (would overwrite manifest.json + state.json).\n```\n\nA `queue_state.json` written before the 2026-08 scheduler fix records jobs the old code\nmis-judged a","tagline":"SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insuffici","category":"automation","tags":["agent-skill"],"author":"wanshuiyin","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"wanshuiyin/Auto-claude-code-research-in-sleep","creatorName":"wanshuiyin","creatorUrl":"https://github.com/wanshuiyin","sourceUrl":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue#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":15660,"forks":1363,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":52.61},"quality":{"score":89,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"16K","tone":"positive"},{"label":"Freshness","value":"5d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive."]},"trust":{"version":"trust-score-v5","score":66,"base_score":74,"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":["66/100 Trust Score v5","74/100 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":"16K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"5d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":54,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"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":36,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"5d 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":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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","5d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","trust_score":66,"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":["automation","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":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"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":66,"base_score":74,"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":["66/100 Trust Score v5","74/100 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":"16K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"5d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":54,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"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":36,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"5d 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":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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","5d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","trust_score":66,"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":["automation","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":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"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":74,"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":"16K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"5d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":54,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"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":36,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"5d 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":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue"},{"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":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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","5d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":["automation","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":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":40,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","40/100 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":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"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":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","40/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":74,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: secrets or environment access, shell or command execution","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"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 experiment-queue before installing it in an agent workflow","automation","Research agents 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 wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"]},{"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 wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue"]},{"id":"trust_score","label":"Trust score","status":"warn","score":74,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","16K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":84,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":40,"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.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"5d since push","evidence":["5d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Browser automation: medium","Network 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/wanshuiyin-experiment-queue/evals","api":"/api/agent/evals?slug=wanshuiyin-experiment-queue","text":"/api/agent/evals?slug=wanshuiyin-experiment-queue&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wanshuiyin-experiment-queue","name":"experiment-queue","description":"SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration.","category":"automation","url":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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 wanshuiyin-experiment-queue"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"experiment-queue\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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/wanshuiyin-experiment-queue/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-experiment-queue"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["automation","agent-skill"],"known_risks":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":89,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review"],"agent_contract":{"task_input":"Use experiment-queue 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: 74/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 40/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wanshuiyin-experiment-queue (experiment-queue)","install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"wanshuiyin-experiment-queue","task":"Use experiment-queue 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/wanshuiyin-experiment-queue","api":"https://www.openagentskill.com/api/agent/skills/wanshuiyin-experiment-queue","audit":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wanshuiyin-experiment-queue&task=Use%20experiment-queue%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20experiment-queue%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20experiment-queue%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wanshuiyin-experiment-queue/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-experiment-queue"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wanshuiyin-experiment-queue","name":"experiment-queue","description":"SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration.","category":"automation","url":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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 wanshuiyin-experiment-queue"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"experiment-queue\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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/wanshuiyin-experiment-queue/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-experiment-queue"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["automation","agent-skill"],"known_risks":["SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":89,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review"],"agent_contract":{"task_input":"Use experiment-queue 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: 74/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 40/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wanshuiyin-experiment-queue (experiment-queue)","install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"wanshuiyin-experiment-queue","task":"Use experiment-queue 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/wanshuiyin-experiment-queue","api":"https://www.openagentskill.com/api/agent/skills/wanshuiyin-experiment-queue","audit":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wanshuiyin-experiment-queue&task=Use%20experiment-queue%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20experiment-queue%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20experiment-queue%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wanshuiyin-experiment-queue/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-experiment-queue"}},"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":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":15660,"starsLabel":"16K","forks":1363,"license":"MIT","qualityScore":89,"trustScore":74,"auditScore":84},"maintenance":{"status":"fresh","label":"5d since push","daysSincePush":5,"lastPushedAt":"2026-09-03T04:37:02+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review"]},"coverageTags":["Research","Research agents","automation","agent-skill"]},"audit":{"audit_score":84,"risk_level":"needs_review","risk_label":"Needs review","quality_score":89,"trust_score":74,"maintenance_score":100,"security_score":74,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","SKILL.md excerpt is truncated; full content not visible in review, but the provided portion is comprehensive.","Scripts are only partially shown; full implementation not reviewed, but initial code appears well-structured.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":29.36,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"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"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-queue","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 wanshuiyin-experiment-queue","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 \"experiment-queue\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue. 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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 \"experiment-queue\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue 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: SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says \"batch experiments\", \"队列实验\", \"run grid\", \"multi-seed sweep\", \"auto-chain experiments\", or when /run-experiment is insufficient for 10+ jobs that need orchestration. 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\":\"wanshuiyin-experiment-queue\",\"task\":\"Install experiment-queue\",\"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/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/wanshuiyin-experiment-queue","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-queue","api":"/api/agent/skills/wanshuiyin-experiment-queue","install_api":"/api/skills/wanshuiyin-experiment-queue/install"},"meta":{"created_at":"2026-09-03T04:56:22.526119+00:00","updated_at":"2026-09-03T04:56:22.599382+00:00","agent_friendly":true}}