{"slug":"nvidia-amc-run-sample-calibration","name":"amc-run-sample-calibration","description":"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.","long_description":"---\nname: \"amc-run-sample-calibration\"\ndescription: \"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.\"\nowner: \"NVIDIA CORPORATION\"\nservice: \"auto-magic-calib\"\nversion: \"1.0.0\"\nreviewed: \"2026-04-28\"\nlicense: \"Apache-2.0\"\nmetadata:\n  author: \"NVIDIA CORPORATION\"\n  tags: [amc, calibration, sample, rest-api, validation, python]\n---\n\n# Skill: Calibrate Sample Dataset\n\n## When to Use This Skill\n\nActivate this skill when the user wants to sanity-check a running AMC stack with the bundled sample dataset. Typical prompts:\n\n- \"test the sample dataset\" / \"run sample calibration\"\n- \"verify AMC install\"\n- \"launch and test\" (chain with `amc-setup-calibration-stack` if the MS isn't already running)\n\n**Do NOT use this skill when:**\n\n- The user references their own video paths (e.g. `/data/videos/`, `cam_*.mp4` not from the bundled zip) — route to `amc-run-video-calibration`.\n- The user provides live RTSP streams or `rtsp://...` URLs — route to `amc-run-rtsp-calibration`.\n- This skill is exclusively for `assets/sdg_08_2_sample_data_010926.zip`.\n\nPrerequisite: AMC microservice running on a port in 8000-8009. If no backend is detected, delegate to `amc-setup-calibration-stack` first.\n\nIf execution cannot proceed in the current environment (no backend, missing sample data, etc.), surface the blocker AND describe the expected workflow + API sequence concisely so the user understands what will run once prerequisites are met. Do not fabricate calibration outputs, evaluation metrics, or trajectories.\n\n## Overview\n\nRun a full calibration on the bundled sample dataset (`sdg_08_2_sample_data_010926.zip`, 4 synthetic warehouse cameras with ground truth) against a running AutoMagicCalib microservice. Useful for verifying that a freshly-launched stack works end-to-end before throwing real data at it.\n\nThe sample includes GT, so the run produces evaluation metrics (L2 distance, reprojection error) — no calibration parameter tuning needed.\n\n## Prerequisites\n\n- [ ] AMC microservice running (follow `skills/amc-setup-calibration-stack/SKILL.md` if not)\n- [ ] Sample zip present at `assets/sdg_08_2_sample_data_010926.zip`\n- [ ] Python 3 with `requests` available, or use the Swagger UI path below\n  - The bundled script self-heals: if `requests` is missing it creates a throwaway venv under `${TMPDIR:-/tmp}/amc-sample-test-venv` (nothing written to the repo)\n  - If `python3 -m venv` itself fails with `ensurepip not available`: `sudo apt install -y python3-venv python3-pip`\n\n## Instructions\n\n**\"launch AMC and test sample dataset\" (or similar):**\n\n1. Run `skills/amc-setup-calibration-stack/SKILL.md` first.\n2. Wait for `/v1/ready` to return OK.\n3. Extract sample data (snippet below) — idempotent, safe to re-run.\n4. Run the bundled script in [Run Script](#run-script).\n5. Report final metrics + UI URL for manual inspection.\n6. VGGT refinement is attempted by default when the project reports `vggt_state: READY`; otherwise the script explains that VGGT setup is optional and can be enabled later for refinement.\n\n**\"test sample dataset\" (MS already running):**\n\n1. Detect backend: scan ports 8000–8009 for a `/v1/ready` response.\n2. If none → point to the setup skill.\n3. Extract sample data if not already cached.\n4. Run the bundled script.\n5. Report metrics.\n\n### Detect Running Backend\n\n```bash\nMS_PORT=\"\"\nfor port in {8000..8009}; do\n  if curl -s \"http://localhost:$port/v1/ready\" | grep -q '\"code\":0'; then\n    MS_PORT=$port; break\n  fi\ndone\n[ -z \"$MS_PORT\" ] && { echo \"No running backend. Run amc-setup-calibration-stack skill first.\"; exit 1; }\necho \"Backend on port $MS_PORT\"\n```\n\n### Locate + Extract Sample Data (idempotent)\n\n```bash\n: \"${REPO_ROOT:?set REPO_ROOT to the auto-magic-calib checkout. Run amc-setup-calibration-stack Step 0b first.}\"\ngrep -q \"AutoMagicCalib\" \"$REPO_ROOT/README.md\" 2>/dev/null && grep -q \"auto-magic-calib-ms\" \"$REPO_ROOT/compose/ms/compose.yml\" 2>/dev/null || { echo \"ERROR: REPO_ROOT is not an auto-magic-calib checkout: $REPO_ROOT\" >&2; exit 1; }\n\nSAMPLE_ZIP=\"$REPO_ROOT/assets/sdg_08_2_sample_data_010926.zip\"\n[ -f \"$SAMPLE_ZIP\" ] || { echo \"Sample zip not found at $SAMPLE_ZIP\"; exit 1; }\n\n# Cache directory next to the zip.\nSAMPLE_DIR=\"$(dirname \"$SAMPLE_ZIP\")/.cache/sdg_08_2_sample_data_010926\"\n\nif [ ! -d \"$SAMPLE_DIR\" ]; then\n  mkdir -p \"$SAMPLE_DIR\"\n  unzip -q \"$SAMPLE_ZIP\" -d \"$SAMPLE_DIR\"\nfi\nls \"$SAMPLE_DIR\"\n# Expected (possibly inside a wrapper folder): alignment_data/  GT.zip  videos/\n```\n\n## Run Script\n\nRun the bundled script from the `amc-run-sample-calibration` skill package, not from the `auto-magic-calib` repo root. If the user points the agent at this skill folder directly instead of installing it, set `AMC_SAMPLE_SKILL_DIR` to the directory containing this `SKILL.md`, or run the command from that directory. Set `REPO_ROOT` to the AutoMagicCalib checkout resolved by `amc-setup-calibration-stack`; the script reads `compose/.env` from that checkout for the backend port, accepts `BASE_URL`, `MS_PORT`, `SAMPLE_DIR`, and `RUN_VGGT` overrides, creates a fresh project each run, attempts VGGT when ready, and prints the NGC warehouse dataset note at the end.\n\n```bash\n# REPO_ROOT must point to the auto-magic-calib checkout, not the DeepStream repo.\n: \"${REPO_ROOT:?set REPO_ROOT to the auto-magic-calib checkout. Run amc-setup-calibration-stack Step 0b first.}\"\ngrep -q \"AutoMagicCalib\" \"$REPO_ROOT/README.md\" 2>/dev/null && grep -q \"auto-magic-calib-ms\" \"$REPO_ROOT/compose/ms/compose.yml\" 2>/dev/null || { echo \"ERROR: REPO_ROOT is not an auto-magic-calib checkout: $REPO_ROOT\" >&2; exit 1; }\n\n# If AMC was resolved from DeepStream's tools/auto-magic-calib submodule,\n# derive the DeepStream root so the unpacked repo skill can be used directly.\nif [ -z \"${DEEPSTREAM_REPO_ROOT:-}\" ] && [ -d \"$REPO_ROOT/../../skills/amc-run-sample-calibration\" ]; then\n  DEEPSTREAM_REPO_ROOT=\"$(cd \"$REPO_ROOT/../..\" && pwd)\"\nfi\n\nSCRIPT_PATH=\"\"\nfor candidate in \\\n  \"${AMC_SAMPLE_SKILL_DIR:+$AMC_SAMPLE_SKILL_DIR/scripts/run_sample_calibration.py}\" \\\n  \"$PWD/scripts/run_sample_calibration.py\" \\\n  \"${DEEPSTREAM_REPO_ROOT:+$DEEPSTREAM_REPO_ROOT/skills/amc-run-sample-calibration/scripts/run_sample_calibration.py}\" \\\n  \"$PWD/skills/amc-run-sample-calibration/scripts/run_sample_calibration.py\" \\\n  \"$HOME/.claude/skills/amc-run-sample-calibration/scripts/run_sample_calibration.py\" \\\n  \"$HOME/.codex/skills/amc-run-sample-calibration/scripts/run_sample_calibration.py\" \\\n  \"$HOME/.cursor/skills/amc-run-sample-calibration/scripts/run_sample_calibration.py\"; do\n  if [ -f \"$candidate\" ]; then\n    SCRIPT_PATH=\"$candidate\"\n    break\n  fi\ndone\n\n[ -n \"$SCRIPT_PATH\" ] || {\n  echo \"ERROR: could not find amc-run-sample-calibration/scripts/run_sample_calibration.py\" >&2\n  echo \"Set AMC_SAMPLE_SKILL_DIR to the amc-run-sample-calibration skill directory, or run this block from that directory.\" >&2\n  exit 1\n}\n\npython3 \"$SCRIPT_PATH\"\n```\n\n## Alternative: Swagger UI Walkthrough\n\n> **Agent shortcut**: if the user explicitly requested a Swagger UI walkthrough (or said \"no Python\"), emit the table below and stop — do not invoke shell tooling, read other sections, or run the bundled Python script.\n\nThe microservice exposes an interactive OpenAPI UI at **`http://<HOST_IP>:<MS_PORT>/docs`**. If you prefer clicking through the API by hand:\n\n1. Open `http://<HOST_IP>:<MS_PORT>/docs` in a browser.\n2. Unzip `sdg_08_2_sample_data_010926.zip` into a cache directory next to it.\n3. Execute these endpoints **in order**, copying the `project_id` from step 1 into subsequent paths:\n\n   | # | Endpoint | Body / Files |\n   |---|---|---|\n   | 1 | `POST /v1/create_project` | `project_name`: any string |\n   | 2 | `POST /v1/upload_video_files/{project_id}` | `files`: upload all 4 `videos/cam_0*.mp4` **sorted by name** |\n   | 3 | `POST /v1/upload_alignment/{project_id}` | `alignment_file`: `alignment_data/alignment_data.json` |\n   | 4 | `POST /v1/upload_layout/{project_id}` | `layout_file`: `alignment_data/layout.png` |\n   | 5 | `POST /v1/upload_gt_file/{project_id}` | `gt_file`: `GT.zip` |\n   | 6 | `POST /v1/verify_project/{project_id}` | — (expect `project_state: READY`) |\n   | 7 | `POST /v1/calibrate/{project_id}` | JSON: `{\"detector_type\": \"resnet\"}` |\n   | 8 | `GET /v1/get_project_info/{project_id}` | Refresh every ~10 s until `project_state` = `COMPLETED` |\n   | 9 | `GET /v1/result/{project_id}/evaluation_statistics` | Read L2 distance + reprojection error |\n   | 10 optional | `POST /v1/vggt/calibrate/{project_id}` then `GET /v1/vggt_results/{project_id}/evaluation_statistics` | Run only when `vggt_state` is `READY`; poll `vggt_state` until `COMPLETED` |\n\nThis is the same sequence the bundled Python script runs, just executed manually. Step 10 is attempted by default when `vggt_state` is `READY`; otherwise it is skipped with setup guidance.\n\n### Status Fields from `get_project_info`\n\n`project_info.project_state` is the AMC calibration lifecycle for the project. Poll it until it reaches `COMPLETED` (or stop on `ERROR`).\n\n`project_info.vggt_state` is a **per-project** VGGT refinement lifecycle, a project-scoped status rather than a direct global service or model-load status. A newly created project can report `vggt_state: \"INIT\"` even when the VGGT model is present and mounted. The expected lifecycle is `INIT` → `READY` after AMC calibration completes → `RUNNING` while VGGT refinement runs → `COMPLETED` (or `ERROR`). Interpret `INIT` on a new or uncalibrated project as normal project state. If AMC calibration is complete and the project remains in a non-ready VGGT state, confirm VGGT setup and model availability with the setup skill checks and service logs.\n\n## Success Criteria\n\n- Project reaches `project_state == \"COMPLETED\"` within ~30 min.\n- `/v1/result/{id}/evaluation_statistics` returns non-empty `statistics` (GT was uploaded).\n- VGGT either runs to `vggt_state == \"COMPLETED\"` and reports `/v1/vggt_results/{id}/evaluation_statistics`, or is skipped with setup guidance because the project is not `READY` for VGGT.\n- No `ERROR` state encountered.\n\nRepresentative metrics for the sample (yours should be similar):\n\n```\nAverage L2 distance(m)               : < 1.5\nAverage reprojection error 0(px)     : < 10\n```\n\n## Key Output Files (on the server)\n\nResults persist under `$REPO_ROOT/projects/project_<project_id>/`:\n\n```\nprojects/project_<project_id>/\n├── output/\n│   ├── single_view_results/cam_XX/\n│   │   ├── camInfo_hyper_XX.yaml\n│   │   └── trajDump_Stream_0_3d.txt\n│   └── multi_view_results/BA_output/results_ba/refined/\n│       └── camInfo_XX.yaml          # ← final calibration (use this)\n└── calibration.log\n```\n\n## Monitoring Progress\n\n```bash\nPROJECT_ID=<id_from_step_1>\n: \"${REPO_ROOT:?set REPO_ROOT to the auto-magic-calib checkout. Run amc-setup-calibration-stack Step 0b first.}\"\ngrep -q \"AutoMagicCalib\" \"$REPO_ROOT/README.md\" 2>/dev/null && grep -q \"auto-magic-calib-ms\" \"$REPO_ROOT/compose/ms/compose.yml\" 2>/dev/null || { echo \"ERROR: REPO_ROOT is not an auto-magic-calib checkout: $REPO_ROOT\" >&2; exit 1; }\ntail -F --retry \"$REPO_ROOT/projects/project_${PROJECT_ID}/calibration.log\"\n```\n\nOr stream MS logs:\n\n```bash\n: \"${REPO_ROOT:?set REPO_ROOT to the auto-magic-calib checkout. Run amc-setup-calibration-stack Step 0b first.}\"\ngrep -q \"AutoMagicCalib\" \"$REPO_ROOT/README.md\" 2>/dev/null && grep -q \"auto-magic-calib-ms\" \"$REPO_ROOT/compose/ms/compose.yml\" 2>/dev/null || { echo \"ERROR: REPO_ROOT is not an auto-magic-calib checkout: $REPO_ROOT\" >&2; exit 1; }\ndocker compose -f \"$REPO_ROOT/compose/compose.yml\" logs -f auto-magic-calib-ms\n```\n\n## Troubleshooting\n\n| Issue | Fix |\n|---|---|\n| `requests` not installed | Inside a venv: `python3 -m venv venv && ./venv/bin/pip install requests`. If `python3 -m venv` fails: `sudo apt install -y python3-venv python3-pip` first |\n| `[2] Uplo","tagline":"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.","category":"data-analysis","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-run-sample-calibration","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration#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. 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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-run-sample-calibration","install":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration","policy":"human_review_before_install","label":"Human review before 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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":["data-analysis","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","trust_score":68,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["data-analysis","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":["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_v4":{"version":"trust-score-v4","score":76,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":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-run-sample-calibration"},{"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-run-sample-calibration"},{"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-run-sample-calibration"},{"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-run-sample-calibration"},{"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"],"warnings":["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":"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-run-sample-calibration","install":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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 NVIDIA/skills --skill amc-run-sample-calibration","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"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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":["data-analysis","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":["Quality score needs 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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":38,"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","38/100 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","38/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":72,"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","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 amc-run-sample-calibration before installing it in an agent workflow","data-analysis","Local desktop workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add NVIDIA/skills --skill amc-run-sample-calibration"]},{"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 NVIDIA/skills --skill amc-run-sample-calibration"]},{"id":"trust_score","label":"Trust score","status":"warn","score":76,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","3.2K GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":82,"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":38,"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":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"6d since push","evidence":["6d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":22,"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/nvidia-amc-run-sample-calibration/evals","api":"/api/agent/evals?slug=nvidia-amc-run-sample-calibration","text":"/api/agent/evals?slug=nvidia-amc-run-sample-calibration&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"nvidia-amc-run-sample-calibration","name":"amc-run-sample-calibration","description":"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.","category":"data-analysis","url":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration","github_repo":"NVIDIA/skills"},"suited_tasks":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","Browser agents","CLI"],"install":{"command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"amc-run-sample-calibration\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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/nvidia-amc-run-sample-calibration/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-run-sample-calibration"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","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-run-sample-calibration","install":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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":["data-analysis","agent-skill"],"known_risks":["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":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","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":82,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"6d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use amc-run-sample-calibration 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-run-sample-calibration (amc-run-sample-calibration)","install_command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration","task":"Use amc-run-sample-calibration 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-run-sample-calibration","api":"https://www.openagentskill.com/api/agent/skills/nvidia-amc-run-sample-calibration","audit":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-amc-run-sample-calibration&task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-amc-run-sample-calibration/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-run-sample-calibration"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"nvidia-amc-run-sample-calibration","name":"amc-run-sample-calibration","description":"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.","category":"data-analysis","url":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration","github_repo":"NVIDIA/skills"},"suited_tasks":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","Browser agents","CLI"],"install":{"command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"amc-run-sample-calibration\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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/nvidia-amc-run-sample-calibration/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-run-sample-calibration"},"trust":{"score":76,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","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-run-sample-calibration","install":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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":["data-analysis","agent-skill"],"known_risks":["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":82,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","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":82,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"6d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use amc-run-sample-calibration 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-run-sample-calibration (amc-run-sample-calibration)","install_command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration","task":"Use amc-run-sample-calibration 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-run-sample-calibration","api":"https://www.openagentskill.com/api/agent/skills/nvidia-amc-run-sample-calibration","audit":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=nvidia-amc-run-sample-calibration&task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20amc-run-sample-calibration%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/nvidia-amc-run-sample-calibration/install","manifest":"https://www.openagentskill.com/api/registry/manifest/nvidia-amc-run-sample-calibration"}},"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":"local-desktop","title":"Local desktop"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"github-automation","title":"GitHub automation"}]},"applicableAgents":["Claude Code","OpenAI Agents","Cursor","Browser agents","CLI"],"install":{"ready":true,"command":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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","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"]},"coverageTags":["Coding","GitHub automation","data-analysis","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","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","OpenAI Agents","Cursor","Browser agents"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add NVIDIA/skills --skill amc-run-sample-calibration","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-run-sample-calibration","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-run-sample-calibration\" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" as a Claude Code skill from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration\" from https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'. 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-run-sample-calibration\",\"task\":\"Install amc-run-sample-calibration\",\"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-run-sample-calibration","github_repo":"NVIDIA/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/nvidia-amc-run-sample-calibration","repository":"https://github.com/NVIDIA/skills/tree/main/skills/amc-run-sample-calibration","api":"/api/agent/skills/nvidia-amc-run-sample-calibration","install_api":"/api/skills/nvidia-amc-run-sample-calibration/install"},"meta":{"created_at":"2026-09-02T12:03:44.642009+00:00","updated_at":"2026-09-02T12:03:44.81419+00:00","agent_friendly":true}}