{"slug":"nvidia-amc-setup-calibration-stack","name":"amc-setup-calibration-stack","description":"Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.","long_description":"---\nname: \"amc-setup-calibration-stack\"\ndescription: \"Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.\"\nmetadata:\n  author: \"NVIDIA CORPORATION\"\n  tags: [amc, deepstream, docker, calibration, setup, ngc]\nowner: \"NVIDIA CORPORATION\"\nservice: \"auto-magic-calib\"\nversion: \"1.0.0\"\nreviewed: \"2026-04-28\"\nlicense: \"Apache-2.0\"\n---\n\n# Skill: Launch AutoMagicCalib Release Containers\n\nSet up the AutoMagicCalib microservice and UI from release containers: resolve an AMC checkout, authenticate to NGC, optionally download VGGT, configure Docker Compose, launch services, and verify readiness.\n\n## Prerequisites\n- Docker and Docker Compose installed\n- NVIDIA Docker Runtime configured (for GPU support)\n- `auto-magic-calib` repo on disk. Step 0b resolves the current repo, DeepStream `tools/auto-magic-calib`, `DEEPSTREAM_REPO_ROOT`, or `~/auto-magic-calib`; otherwise it asks before cloning `https://github.com/NVIDIA-AI-IOT/auto-magic-calib`.\n- NGC account with access to NVIDIA container registry\n- Docker runnable without `sudo`; verify with `docker ps` before continuing.\n\n## Instructions\n\n### Step 0: Verify Docker Runs Without sudo\n\n```bash\ndocker ps\n```\n\n- If it succeeds → continue.\n- If it fails with \"permission denied\" → the user is not in the `docker` group. Ask the user to run:\n  ```bash\n  sudo usermod -aG docker $USER && newgrp docker\n  ```\n  Then ask the user to confirm `docker ps` works before continuing.\n\n> **Agent note**: If `docker ps` cannot be run from within the agent sandbox, ask the user to confirm it works (e.g. \"Can you confirm `docker ps` runs without sudo?\") before proceeding.\n\n### Step 0b: Resolve Repo Checkout\n\nThe skill needs AMC repo assets (`compose/`, sample data, and `models/`). Resolve an existing checkout first; ask before cloning into `~/auto-magic-calib`.\n\n```bash\nREPO_URL=\"https://github.com/NVIDIA-AI-IOT/auto-magic-calib.git\"\nDEFAULT_CLONE_DIR=\"$HOME/auto-magic-calib\"\nCURRENT_GIT_ROOT=\"$(git rev-parse --show-toplevel 2>/dev/null || true)\"\n\nis_amc_checkout() {\n  [ -n \"$1\" ] \\\n    && [ -f \"$1/README.md\" ] \\\n    && grep -q \"AutoMagicCalib\" \"$1/README.md\" 2>/dev/null \\\n    && [ -f \"$1/compose/compose.yml\" ] \\\n    && grep -q \"auto-magic-calib-ms\" \"$1/compose/ms/compose.yml\" 2>/dev/null \\\n    && grep -q \"auto-magic-calib-ui\" \"$1/compose/ui/compose.yml\" 2>/dev/null\n}\n\nREPO_ROOT=\"\"\nfor candidate in \\\n  \"$CURRENT_GIT_ROOT\" \\\n  \"${CURRENT_GIT_ROOT:+$CURRENT_GIT_ROOT/tools/auto-magic-calib}\" \\\n  \"${DEEPSTREAM_REPO_ROOT:+$DEEPSTREAM_REPO_ROOT/tools/auto-magic-calib}\" \\\n  \"$PWD/tools/auto-magic-calib\" \\\n  \"$DEFAULT_CLONE_DIR\"; do\n  if is_amc_checkout \"$candidate\"; then\n    REPO_ROOT=\"$candidate\"\n    echo \"✓ Using auto-magic-calib checkout: $REPO_ROOT\"\n    break\n  fi\ndone\n\nif [ -z \"$REPO_ROOT\" ]; then\n  if [ -n \"$CURRENT_GIT_ROOT\" ] && [ -d \"$CURRENT_GIT_ROOT/tools/auto-magic-calib\" ]; then\n    echo \"Found $CURRENT_GIT_ROOT/tools/auto-magic-calib, but it is not an initialized AMC checkout.\"\n    echo \"If running from the DeepStream repository root:\"\n    echo \"  git submodule update --init tools/auto-magic-calib\"\n  fi\n\n  # Nothing usable on disk — STOP and ask the user for confirmation using the\n  # host's question mechanism; if none is available, ask in chat and wait.\n  # Do NOT clone silently from this block or clone over a tracked submodule path.\n  echo \"No usable auto-magic-calib checkout found. Ask the user for confirmation:\"\n  echo \"  Clone $REPO_URL into $DEFAULT_CLONE_DIR? [y/N]\"\n  echo \"On 'y' — run: git clone \\\"$REPO_URL\\\" \\\"$DEFAULT_CLONE_DIR\\\"\"\n  exit 1\nfi\n\ncd \"$REPO_ROOT\"\nexport REPO_ROOT\necho \"REPO_ROOT=$REPO_ROOT\"\n```\n\n> **Agent note**: never clone silently. Prefer initialized DeepStream `tools/auto-magic-calib`; do not clone over that submodule path. If it exists but is empty, ask the user to run `git submodule update --init tools/auto-magic-calib`. Honour an alternate AMC path if provided.\n\n### Step 0c: Install Python venv (New Systems Only)\n\nOn a fresh system, `pip` and `python3-venv` may not be available. Install them first:\n\n```bash\n# Create a venv for HuggingFace CLI (project-local preferred)\nREPO_DIR=\"$(git rev-parse --show-toplevel 2>/dev/null || pwd)\"\nHF_VENV=\"${REPO_DIR}/venv\"\npython3 -m venv \"$HF_VENV\" 2>/dev/null || {\n  echo \"ERROR: python3-venv not available.\" >&2\n  echo \"Install it manually: sudo apt install -y python3-venv python3-pip\" >&2\n  exit 1\n}\n\n# Install HuggingFace hub (needed for VGGT download)\n\"$HF_VENV/bin/pip\" install --upgrade pip huggingface_hub\n```\n\n> **Note**: Skip this step if a venv with `hf` already exists (check `venv/bin/hf` in the repo root or `~/venv/amc/bin/hf`).\n\n### Step 1: Login to NGC\n\nAsk the user for their NGC API key using the host's question mechanism; if none is available, ask in chat and wait. Then run:\n\n```bash\necho \"<NGC_API_KEY>\" | docker login nvcr.io --username '$oauthtoken' --password-stdin\necho \"✓ NGC authentication complete\"\n```\n\n### Step 2: Download VGGT Model (If Not Already Present)\n\n```bash\nexport REPO_ROOT=$(git rev-parse --show-toplevel)\ncd \"$REPO_ROOT\"\n\nif [ -f \"models/vggt/vggt_1B_commercial.pt\" ]; then\n  echo \"✓ VGGT model already present\"\nelse\n  echo \"✗ VGGT model not found\"\n  echo \"Options:\"\n  echo \"  1. Continue without VGGT (AMC only - sufficient for most use cases)\"\n  echo \"  2. Download VGGT model (~4.7GB, requires HuggingFace account)\"\nfi\n```\n\n**To download VGGT**: ask the user to accept the license at https://huggingface.co/facebook/VGGT-1B-Commercial and provide a read token from https://huggingface.co/settings/tokens using the host's question mechanism. Pass it through `HF_TOKEN` so it is not exposed in `ps` output:\n```bash\nREPO_DIR=\"$(git rev-parse --show-toplevel 2>/dev/null || pwd)\"\ncd \"$REPO_DIR\"\n\n# Find the HuggingFace CLI binary (named 'hf', not 'huggingface-cli')\nHF_BIN=\"$(find \"$REPO_DIR/venv\" ~/venv/amc -name hf -type f 2>/dev/null | head -1)\"\n{ [ -z \"$HF_BIN\" ] || [ ! -x \"$HF_BIN\" ]; } && { echo \"ERROR: hf binary not found or not executable; install the hf CLI (Step 0c) or set HF_BIN\" >&2; exit 1; }\n\n# Do NOT use --token on the command line (leaks via ps/argv). The HF CLI\n# reads HF_TOKEN from the environment automatically.\nHF_TOKEN=\"<HF_TOKEN>\" \"$HF_BIN\" download facebook/VGGT-1B-Commercial \\\n  --local-dir models/vggt/\n\n# Verify\nls -lh models/vggt/vggt_1B_commercial.pt\n# Should show ~4.7GB file\n```\n\n> **Important**: Download BEFORE setting `chown 1000:1000` on the models directory — the current user needs write access during download. Set permissions in Step 4 after download completes.\n\n### Step 3: Configure Compose Environment Variables\n\nThe Compose environment file controls ports and paths. Update it before launching:\n\n```bash\ncd $REPO_ROOT/compose\n\n# Find available backend port (8000-8009)\nfor port in {8000..8009}; do\n  if ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then\n    MS_PORT=$port\n    echo \"Using backend port: $MS_PORT\"\n    break\n  fi\ndone\n[ -z \"$MS_PORT\" ] && { echo \"ERROR: no free backend port in 8000-8009; free one or widen the range.\" >&2; exit 1; }\n\n# Find available UI port (5000-5009)\nfor port in {5000..5009}; do\n  if ! lsof -Pi :$port -sTCP:LISTEN -t >/dev/null 2>&1; then\n    UI_PORT=$port\n    echo \"Using UI port: $UI_PORT\"\n    break\n  fi\ndone\n[ -z \"$UI_PORT\" ] && { echo \"ERROR: no free UI port in 5000-5009; free one or widen the range.\" >&2; exit 1; }\n\n# Get host IP\nHOST_IP=$(hostname -I | awk '{print $1}')\necho \"Host IP: $HOST_IP\"\n\n# Preserve existing keys and restrict permissions on the Compose environment file.\nCOMPOSE_ENV_BASENAME=\"env\"\nENV_FILE=\".${COMPOSE_ENV_BASENAME}\"\nif [ -f \"$ENV_FILE\" ]; then\n  BACKUP=\"${ENV_FILE}.bak.$(date +%s)\"\n  cp \"$ENV_FILE\" \"$BACKUP\"\n  chmod 600 \"$BACKUP\"\nfi\ntouch \"$ENV_FILE\"\nchmod 600 \"$ENV_FILE\"\nset_env_key() {\n  local k=\"$1\" v=\"$2\"\n  if grep -qE \"^${k}=\" \"$ENV_FILE\"; then\n    sed -i \"s|^${k}=.*|${k}=${v}|\" \"$ENV_FILE\"\n  else\n    echo \"${k}=${v}\" >> \"$ENV_FILE\"\n  fi\n}\nset_env_key AUTO_MAGIC_CALIB_MS_PORT \"${MS_PORT}\"\nset_env_key AUTO_MAGIC_CALIB_UI_PORT \"${UI_PORT}\"\nset_env_key PROJECT_DIR \"../../projects\"\nset_env_key MODEL_DIR \"../../models\"\nset_env_key HOST_IP \"${HOST_IP}\"\n\n# Keep timestamped Compose environment backups out of git.\nGITIGNORE=\"$REPO_ROOT/.gitignore\"\ntouch \"$GITIGNORE\"\nBACKUP_PATTERN=\"compose/${ENV_FILE}.bak.*\"\ngrep -qxF \"$BACKUP_PATTERN\" \"$GITIGNORE\" || echo \"$BACKUP_PATTERN\" >> \"$GITIGNORE\"\n\necho \"✓ Compose environment file updated\"\ncat \"$ENV_FILE\"\n```\n\n**Important**: `HOST_IP` must be the machine's network IP (not `localhost`) so the UI container can reach the backend from a browser.\n\nOptional: set `VGGT_MODEL_PATH` only if the VGGT model is mounted at a non-default container path; default is `/tmp/vggt_model/vggt_1B_commercial.pt` inside the MS container.\n\nOptional for RTSP calibration: use `skills/amc-run-rtsp-calibration/SKILL.md` after launch. That skill verifies VIOS reachability and, when needed, relaunches the microservice with a temporary compose override that exports `VIOS_BASE_URL` without changing checked-in compose files.\n\n### Step 4: Set Directory Permissions\n\nThe containers run as UID/GID 1000. The `projects` and `models` directories must be owned by this UID for containers to read/write properly:\n\n```bash\ncd \"$REPO_ROOT\"\n\n# Create projects directory if it doesn't exist\nmkdir -p projects\n\n# Set ownership (required for containers to write calibration outputs).\n# Do this AFTER VGGT download is complete (current user needs write access during download).\n# Get explicit user confirmation before running sudo chown — it recursively changes\n# ownership of $REPO_ROOT/projects and $REPO_ROOT/models to UID/GID 1000.\n[ -d projects ] && [ -d models ] || {\n  echo \"ERROR: expected projects/ and models/ under $REPO_ROOT\" >&2; exit 1;\n}\necho \"About to chown -R 1000:1000 on:\"\necho \"  $REPO_ROOT/projects\"\necho \"  $REPO_ROOT/models\"\necho \"(required because containers run as UID 1000). Confirm before proceeding.\"\nsudo chown 1000:1000 -R projects\nsudo chown 1000:1000 -R models\n\necho \"✓ Permissions set\"\n```\n\n### Step 5: Launch Services\n\nBefore pulling, fail fast if the NGC key authenticated in Step 1 but cannot actually access a release image — otherwise `docker compose up` aborts partway with a 401/403 after some work is already done.\n\n```bash\ncd $REPO_ROOT/compose\n\n# Fail-fast image-access check: confirm the NGC key can reach every release\n# image BEFORE pulling. `docker manifest inspect` checks registry access without\n# downloading layers, and the image list is read from the resolved compose so it\n# tracks the release tag automatically.\nIMAGES=$(docker compose config --images | sort -u)\n[ -z \"$IMAGES\" ] && { echo \"ERROR: no images resolved from compose — check the Compose environment settings and chosen profile.\" >&2; exit 1; }\nfor img in $IMAGES; do\n  echo \"Checking access: $img\"\n  if ! docker manifest inspect \"$img\" >/dev/null 2>&1; then\n    echo \"NGC login succeeded, but this key cannot access the required image:\" >&2\n    echo \"  $img\" >&2\n    echo \"Provide an NGC key with access to this image's namespace, then re-run Step 1 (login) and retry.\" >&2\n    exit 1\n  fi\ndone\n\n# Start all services (images pulled automatically on first run)\ndocker compose up -d\n\n# Check containers are running\ndocker compose ps\n```\n\nThe exact image tags change by release; read them from the active compose files instead of hardcoding a version.\n\n### Step 6: Verify Services Are Running\n\n```bash\n# Read ports from the Compose environment file.\nCOMPOSE_ENV_BASENAME=\"env\"\nCOMPOSE_ENV_FILE=\"$REPO_ROOT/compose/.${COMPOSE_ENV_BASENAME}\"\nMS_PORT=$(grep AUTO_MAGIC_CALIB_MS_PORT \"$COMPOSE_ENV_FILE\" | cut -d= -f2)\nUI_PORT=$(grep AUTO_MAGIC_CALIB_UI_PORT \"$COMPOSE_ENV_FILE\" | cut -d= -f2)\nHOST_IP=$(grep HOST_IP \"$COMPOSE_ENV_FILE\" | cut -d= -f2)\n\n# Wait for microservice readiness. Cold image pulls or first startup can need\n# extra time after","tagline":"Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.","category":"design-creative","tags":["agent-skill"],"author":"NVIDIA","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"NVIDIA/skills","creatorName":"NVIDIA","creatorUrl":"https://github.com/NVIDIA","sourceUrl":"https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/nvidia-amc-setup-calibration-stack#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":3175,"forks":370,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":47.91},"quality":{"score":82,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"3.2K","tone":"positive"},{"label":"Freshness","value":"6d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"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":86,"weight":0.13,"status":"pass","detail":"3.2K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"3.2K stars, 370 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"6d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":36,"weight":0.12,"status":"fail","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack"},{"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":22,"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/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","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":"3.2K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"3.2K stars, 370 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"6d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"fail","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack"},{"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/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","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":"3.2K GitHub stars","repoActivity":"3.2K stars, 370 forks","lastPushed":"6d since push","license":"Apache-2.0","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack","install":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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 NVIDIA/skills --skill amc-setup-calibration-stack","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","6d since push","Financial domain: human review is required before use in a live investment workflow.","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":["Financial research output is not financial advice; require human review before any live investment decision.","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":["design-creative","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"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":["design-creative","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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","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":76,"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":68,"base_score":76,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use amc-setup-calibration-stack 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: 76/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 38/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nvidia-amc-setup-calibration-stack (amc-setup-calibration-stack)","install_command":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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":"nvidia-amc-setup-calibration-stack","task":"Use amc-setup-calibration-stack 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/nvidia-amc-setup-calibration-stack","api":"https://www.openagentskill.com/api/agent/skills/nvidia-amc-setup-calibration-stack","audit":"https://www.openagentskill.com/skills/nvidia-amc-setup-calibration-stack/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-amc-setup-calibration-stack&task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-amc-setup-calibration-stack/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-setup-calibration-stack"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"nvidia-amc-setup-calibration-stack","name":"amc-setup-calibration-stack","description":"Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.","category":"design-creative","url":"https://www.openagentskill.com/skills/nvidia-amc-setup-calibration-stack","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack","github_repo":"NVIDIA/skills"},"suited_tasks":["GitHub automation workflows","Claude Code teams","teams that value GitHub adoption signals","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","Browser agents","CLI"],"install":{"command":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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 nvidia-amc-setup-calibration-stack"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"amc-setup-calibration-stack\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack. 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"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 \"amc-setup-calibration-stack\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack. 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"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 \"amc-setup-calibration-stack\" from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision."],"agent_contract":{"task_input":"Use amc-setup-calibration-stack 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: 76/100 Strong shortlist","Audit: 82/100 Needs review","Safety: 38/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"nvidia-amc-setup-calibration-stack (amc-setup-calibration-stack)","install_command":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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":"nvidia-amc-setup-calibration-stack","task":"Use amc-setup-calibration-stack 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/nvidia-amc-setup-calibration-stack","api":"https://www.openagentskill.com/api/agent/skills/nvidia-amc-setup-calibration-stack","audit":"https://www.openagentskill.com/skills/nvidia-amc-setup-calibration-stack/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-amc-setup-calibration-stack&task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20amc-setup-calibration-stack%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-amc-setup-calibration-stack/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-setup-calibration-stack"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"github-automation","title":"GitHub automation"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","Browser agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":3175,"starsLabel":"3.2K","forks":370,"license":"Apache-2.0","qualityScore":82,"trustScore":76,"auditScore":82},"maintenance":{"status":"fresh","label":"6d since push","daysSincePush":6,"lastPushedAt":"2026-09-01T15:00:43+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"coverageTags":["Coding","GitHub automation","design-creative","agent-skill"]},"audit":{"audit_score":82,"risk_level":"needs_review","risk_label":"Needs review","quality_score":82,"trust_score":76,"maintenance_score":100,"security_score":75,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","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":24.51,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code","Browser agents"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"}],"stacks":[{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"}],"install":"npx skills add NVIDIA/skills --skill amc-setup-calibration-stack","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 nvidia-amc-setup-calibration-stack","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 \"amc-setup-calibration-stack\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack. 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"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 \"amc-setup-calibration-stack\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack. 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"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 \"amc-setup-calibration-stack\" from https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack 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: Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key. 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\":\"nvidia-amc-setup-calibration-stack\",\"task\":\"Install amc-setup-calibration-stack\",\"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/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack","github_repo":"NVIDIA/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/nvidia-amc-setup-calibration-stack","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-setup-calibration-stack","api":"/api/agent/skills/nvidia-amc-setup-calibration-stack","install_api":"/api/skills/nvidia-amc-setup-calibration-stack/install"},"meta":{"created_at":"2026-09-02T12:03:55.404056+00:00","updated_at":"2026-09-02T12:03:55.471601+00:00","agent_friendly":true}}