/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00013-f97e979e-84d4-45fb-8629-16f2c2882fce.json:{"id":"f97e979e-84d4-45fb-8629-16f2c2882fce","timestamp":"2026-05-01T17:10:37.233001","source":"agent","thought":[{"cache_prompt":false,"type":"text","text":""}],"reasoning_content":"The task mentions an image, but I haven't found any relevant image in the workspace. Let me look more carefully - perhaps the image is attached to the task somehow, or maybe I need to look for it differently. Let me check if there's a /tmp directory or look more broadly. Perhaps the image is in a different location, or I need to look at the task description more carefully.\n\nWait - the task says \"Image: To solve this task you will have to use the image shown below.\" But I don't actually see an image. This might mean the image should have been provided but wasn't, or maybe there's a URL or file path I'm missing. Let me re-read...\n\nActually, in many of these tasks, the image might be in a specific location. Let me check /tmp and also look for recently modified files.","thinking_blocks":[],"action":{"command":"find /tmp -type f 2>/dev/null | head -30","is_input":false,"reset":false,"kind":"TerminalAction"},"tool_name":"terminal","tool_call_id":"functions.terminal:3","tool_call":{"id":"functions.terminal:3","name":"terminal","arguments":"{\"security_risk\": \"LOW\", \"command\": \"find /tmp -type f 2>/dev/null | head -30\", \"summary\": \"Check /tmp for files\"}","origin":"completion"},"llm_response_id":"chatcmpl-9d24bd026e734d80a3a7e37463e077c1","security_risk":"UNKNOWN","summary":"Check /tmp for files","kind":"ActionEvent"}
/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00016-4f41ef62-ee4d-4d6e-ba85-114e990a643b.json:{"id":"4f41ef62-ee4d-4d6e-ba85-114e990a643b","timestamp":"2026-05-01T17:10:39.898329","source":"agent","thought":[{"cache_prompt":false,"type":"text","text":""}],"reasoning_content":"The task mentions \"Image: To solve this task you will have to use the image shown below.\" but I don't see any image. Let me check if there might be an image in the /home directory or check if there's a browser open with an image. Let me also check if there's any image downloaded somewhere or in the root directory.\n\nActually, maybe the image was supposed to be shown in the conversation but I don't see it. Let me check if there's an image file somewhere else.","thinking_blocks":[],"action":{"command":"find /home -type f 2>/dev/null | head -30","is_input":false,"reset":false,"kind":"TerminalAction"},"tool_name":"terminal","tool_call_id":"functions.terminal:4","tool_call":{"id":"functions.terminal:4","name":"terminal","arguments":"{\"security_risk\": \"LOW\", \"command\": \"find /home -type f 2>/dev/null | head -30\", \"summary\": \"Check /home for files\"}","origin":"completion"},"llm_response_id":"chatcmpl-23a4dc8ff3ea49bd8c5fc930cbd3875e","security_risk":"UNKNOWN","summary":"Check /home for files","kind":"ActionEvent"}
/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00010-7736079e-527d-450f-bc60-c3e716772cf0.json:{"id":"7736079e-527d-450f-bc60-c3e716772cf0","timestamp":"2026-05-01T17:10:29.904055","source":"agent","thought":[{"cache_prompt":false,"type":"text","text":""}],"reasoning_content":"The user mentions an image that I need to look at. Let me search for any image files in the workspace. There might be an image somewhere I haven't found yet. Let me check more thoroughly.","thinking_blocks":[],"action":{"command":"find / -type f \\( -name \"*.png\" -o -name \"*.jpg\" -o -name \"*.jpeg\" -o -name \"*.gif\" -o -name \"*.bmp\" -o -name \"*.webp\" \\) 2>/dev/null | head -50","is_input":false,"reset":false,"kind":"TerminalAction"},"tool_name":"terminal","tool_call_id":"functions.terminal:2","tool_call":{"id":"functions.terminal:2","name":"terminal","arguments":"{\"security_risk\": \"LOW\", \"command\": \"find / -type f \\\\( -name \\\"*.png\\\" -o -name \\\"*.jpg\\\" -o -name \\\"*.jpeg\\\" -o -name \\\"*.gif\\\" -o -name \\\"*.bmp\\\" -o -name \\\"*.webp\\\" \\\\) 2>/dev/null | head -50\", \"summary\": \"Search for image files system-wide\"}","origin":"completion"},"llm_response_id":"chatcmpl-cd9322c02d63421fa1ec1b2d9601faac","security_risk":"UNKNOWN","summary":"Search for image files system-wide","kind":"ActionEvent"}
/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00011-2864341a-b758-43bf-a8ef-134f749b2f58.json:{"id":"2864341a-b758-43bf-a8ef-134f749b2f58","timestamp":"2026-05-01T17:10:30.559194","source":"environment","tool_name":"terminal","tool_call_id":"functions.terminal:2","observation":{"content":[{"cache_prompt":false,"type":"text","text":"/usr/share/doc/python3-redis/examples/opentelemetry/image/redis-py-trace.png\n/usr/share/doc/liblcms2-dev/logo-small.png\n/usr/share/doc/libxslt1-dev/html/node.gif\n/usr/share/doc/libxslt1-dev/html/Libxslt-Logo-180x168.gif\n/usr/share/doc/libxslt1-dev/html/redhat.gif\n/usr/share/doc/libxslt1-dev/html/smallfootonly.gif\n/usr/share/doc/libxslt1-dev/html/templates.gif\n/usr/share/doc/libxslt1-dev/html/contexts.gif\n/usr/share/doc/libxslt1-dev/html/html/right.png\n/usr/share/doc/libxslt1-dev/html/html/up.png\n/usr/share/doc/libxslt1-dev/html/html/left.png\n/usr/share/doc/libxslt1-dev/html/html/home.png\n/usr/share/doc/libxslt1-dev/html/processing.gif\n/usr/share/doc/libxslt1-dev/html/stylesheet.gif\n/usr/share/doc/libxslt1-dev/html/Libxslt-Logo-90x34.gif\n/usr/share/doc/libxslt1-dev/html/object.gif\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libexslt/right.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libexslt/up.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libexslt/left.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libexslt/home.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libxslt/right.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libxslt/up.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libxslt/left.png\n/usr/share/doc/libxslt1-dev/gtk-doc/html/libxslt/home.png\n/usr/share/doc/libpng-dev/examples/pngtest.png\n/usr/share/info/gnupg-module-overview.png\n/usr/share/info/gnupg-card-architecture.png\n/usr/share/pixmaps/debian-logo.png\n/usr/share/pixmaps/xfce4_xicon2.png\n/usr/share/pixmaps/xfdesktop/xfdesktop-fallback-icon.png\n/usr/share/pixmaps/exo/exo-thumbnail-frame.png\n/usr/share/pixmaps/xfce4_xicon3.png\n/usr/share/pixmaps/xfce4_xicon1.png\n/usr/share/pixmaps/xfce4_xicon.png\n/usr/share/pixmaps/xfce4_xicon4.png\n/usr/share/backgrounds/xfce/xfce-blue.jpg\n/usr/share/novnc/app/images/icons/novnc-ios-180.png\n/usr/share/novnc/app/images/icons/novnc-ios-152.png\n/usr/share/novnc/app/images/icons/novnc-ios-167.png\n/usr/share/novnc/app/images/icons/novnc-ios-120.png\n/usr/share/novnc/app/images/icons/novnc-ios-87.png\n/usr/share/novnc/app/images/icons/novnc-ios-58.png\n/usr/share/novnc/app/images/icons/novnc-ios-40.png\n/usr/share/novnc/app/images/icons/novnc-ios-60.png\n/usr/share/novnc/app/images/icons/novnc-ios-80.png\n/usr/share/novnc/include/logo.js.png\n/usr/share/icons/hicolor/128x128/apps/display-im7.q16.png\n/usr/share/icons/hicolor/128x128/apps/org.xfce.settings.color.png\n/usr/share/icons/hicolor/128x128/apps/org.xfce.panel.actions.png\n/usr/share/icons/hicolor/128x128/apps/org.xfce.panel.systray.png"}],"is_error":false,"command":"find / -type f \\( -name \"*.png\" -o -name \"*.jpg\" -o -name \"*.jpeg\" -o -name \"*.gif\" -o -name \"*.bmp\" -o -name \"*.webp\" \\) 2>/dev/null | head -50","exit_code":0,"timeout":false,"metadata":{"exit_code":0,"pid":-1,"username":"openhands","hostname":"runtime-dfgnruaybsejssik-d797b7b68-v9z7q","working_dir":"/workspace","py_interpreter_path":"/usr/local/bin/python","prefix":"","suffix":"\n[The command completed with exit code 0.]"},"full_output_save_dir":"workspace/conversations/2580d59129f844aaa00c39d7458e6484/observations","kind":"TerminalObservation"},"action_id":"7736079e-527d-450f-bc60-c3e716772cf0","kind":"ObservationEvent"}
/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00007-ae95c211-ad31-4d54-8cbd-4e73175b4545.json:{"id":"ae95c211-ad31-4d54-8cbd-4e73175b4545","timestamp":"2026-05-01T17:10:28.042499","source":"agent","thought":[{"cache_prompt":false,"type":"text","text":""}],"reasoning_content":"I need to find an image file in the workspace. Let me look more carefully. Let me check all directories recursively.","thinking_blocks":[],"action":{"command":"find /workspace -type f 2>/dev/null | head -50","is_input":false,"reset":false,"kind":"TerminalAction"},"tool_name":"terminal","tool_call_id":"functions.terminal:1","tool_call":{"id":"functions.terminal:1","name":"terminal","arguments":"{\"security_risk\": \"LOW\", \"command\": \"find /workspace -type f 2>/dev/null | head -50\", \"summary\": \"Find all files in workspace\"}","origin":"completion"},"llm_response_id":"chatcmpl-5e2cedf66ca843ee8e7b2ddf62baf0ea","security_risk":"UNKNOWN","summary":"Find all files in workspace","kind":"ActionEvent"}
/workspace/conversations/2580d59129f844aaa00c39d7458e6484/events/event-00001-428ed86c-758a-436e-a441-82a909f5446c.json:{"id":"428ed86c-758a-436e-a441-82a909f5446c","timestamp":"2026-05-01T17:10:20.636095","source":"user","llm_message":{"role":"user","content":[{"cache_prompt":false,"type":"text","text":"You have one question to answer. It is paramount that you provide a correct answer.\nGive it all you can: I know for a fact that you have access to all the relevant tools to solve it and find the correct answer (the answer does exist). Failure or 'I cannot answer' or 'None found' will not be tolerated, success will be rewarded.\nYou must make sure you find the correct answer! You MUST strictly follow the task-specific formatting instructions for your final answer.\nHere is the task:\nWhen you take the average of the standard population deviation of the red numbers and the standard sample deviation of the green numbers in this image using the statistics module in Python 3.11, what is the result rounded to the nearest three decimal points?\nImage: To solve this task you will have to use the image shown below.\n\nIMPORTANT: When seeking information from a website, REFRAIN from arbitrary URL navigation. You should utilize the designated search engine tool with precise keywords to obtain relevant URLs or use the specific website's search interface. DO NOT navigate directly to specific URLs as they may not exist.\n\nFor example: if you want to search for a research paper on Arxiv, either use the search engine tool with specific keywords or navigate to arxiv.org and then use its interface.\nIMPORTANT: You should NEVER ask for Human Help.\nIMPORTANT: Please encapsulate your final answer (answer ONLY) within <solution> and </solution> and report it back to users via a message, instead of the 'finish' tool. Your answer will be evaluated using string matching approaches so it important that you STRICTLY adhere to the output formatting instructions specified in the task (e.g., alphabetization, sequencing, units, rounding, decimal places, etc.)\nFor example: The answer to the question is <solution> 42 </solution>.\nIMPORTANT: Your final answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, express it numerically (i.e., with digits rather than words), do not use commas, and do not include units such as $ or percent signs unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities). If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\n"},{"cache_prompt":false,"type":"image","image_urls":["data:image/png;base64,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<response clipped><NOTE>Due to the max output limit, only part of the full response has been shown to you.</NOTE>🟠 Important: This function doesn't handle None, which could cause an AttributeError.\n\n```suggestion\nif user is None:\n    raise ValueError(\"User cannot be None\")\n```\n```\n\n## GitHub Suggestions\n\nFor small code changes, use the suggestion syntax for one-click apply:\n\n~~~\n```suggestion\nimproved_code_here()\n```\n~~~\n\nUse suggestions for: renaming, typos, small refactors (1-5 lines), type hints, docstrings.\n\nAvoid for: large refactors, architectural changes, ambiguous improvements.\n\n## Finding Line Numbers\n\n```bash\n# From diff header: @@ -old_start,old_count +new_start,new_count @@\n# Count from new_start for added/modified lines\n\ngrep -n \"pattern\" filename     # Find line number\nhead -n 42 filename | tail -1  # Verify line content\n```\n\n## Fallback: curl\n\nIf `gh` is unavailable, use curl with the JSON file:\n\n```bash\ncurl -X POST \\\n  -H \"Authorization: token $GITHUB_TOKEN\" \\\n  -H \"Accept: application/vnd.github+json\" \\\n  \"https://api.github.com/repos/{owner}/{repo}/pulls/{pr_number}/reviews\" \\\n  -d @/tmp/review.json\n```\n\n## Summary\n\n1. Analyze the code and identify important issues (minimize nits)\n2. Write review data to a JSON file (e.g., `/tmp/review.json`)\n3. Post **ONE** review using `gh api --input /tmp/review.json`\n4. Use priority labels (🔴🟠🟡) on every comment\n5. Do NOT post comments for code that is acceptable — only comment when action is needed\n6. Use suggestion syntax for concrete code changes\n7. Keep the review body brief (details go in inline comments)\n8. If no issues: post a short approval message with no inline comments","trigger":{"type":"keyword","keywords":["/github-pr-review"]},"source":"/root/.openhands/cache/skills/public-skills/skills/github-pr-review/SKILL.md","inputs":[],"is_agentskills_format":true,"version":"1.0.0","description":"Post PR review comments using the GitHub API with inline comments, suggestions, and priority labels."},{"name":"learn-from-code-review","content":"# Learn from Code Review\n\nAnalyze code review comments from GitHub pull requests and distill them into reusable skills or repository guidelines that improve future code quality.\n\n## Overview\n\nCode review feedback contains valuable institutional knowledge that often gets buried across hundreds of PRs. This skill extracts meaningful patterns from review comments and transforms them into:\n\n1. **Repository-specific skills** - Placed in `.openhands/skills/` for domain-specific patterns\n2. **AGENTS.md guidelines** - Overall repository conventions and best practices\n\n## Prerequisites\n\n- `GITHUB_TOKEN` environment variable must be set\n- GitHub CLI (`gh`) should be available\n\n## Workflow\n\n### Step 1: Identify Target Repository\n\nDetermine the repository to analyze:\n\n```bash\n# Get current repo info\ngh repo view --json nameWithOwner -q '.nameWithOwner'\n```\n\nIf not in a repository, ask the user which repository to analyze.\n\n### Step 2: Fetch Review Comments\n\nRetrieve PR review comments from the repository:\n\n```bash\n# Fetch merged PRs from the last 30 days (adjustable)\ngh pr list --repo {owner}/{repo} \\\n  --state merged \\\n  --limit 50 \\\n  --json number,title,mergedAt\n\n# For each PR, fetch review comments\ngh api repos/{owner}/{repo}/pulls/{pr_number}/comments \\\n  --jq '.[] | {body: .body, path: .path, user: .user.login, created_at: .created_at}'\n\n# Also fetch review-level comments (not tied to specific lines)\ngh api repos/{owner}/{repo}/pulls/{pr_number}/reviews \\\n  --jq '.[] | select(.body != \"\") | {body: .body, user: .user.login, state: .state}'\n```\n\n### Step 3: Filter and Categorize Comments\n\nApply noise filtering to keep only meaningful feedback:\n\n**Exclude:**\n- Bot comments (dependabot, copilot, github-actions, etc.)\n- Low-signal responses (\"LGTM\", \"+1\", \"looks good\", \"thanks\", \"nice\")\n- Comments shorter than 30 characters\n- Auto-generated comments (CI status, coverage reports)\n\n**Categorize remaining comments by:**\n- Security concerns\n- Performance patterns\n- Code style/conventions\n- Architecture/design patterns\n- Error handling\n- Testing requirements\n- Documentation standards\n\n### Step 4: Distill Patterns\n\nFor each category with sufficient examples (3+ similar comments), identify:\n\n1. **The recurring issue** - What mistake or oversight keeps appearing\n2. **The desired pattern** - What reviewers consistently ask for\n3. **Example context** - Concrete before/after code snippets when available\n\n### Step 5: Generate Output\n\nIf clear, actionable patterns emerge, generate focused skill files. If no clear patterns emerge, report this to the user—it's fine to produce no output when the codebase already has strong conventions or when review comments don't cluster into recurring themes.\n\nWhen creating skills, place them in `.openhands/skills/{domain-name}/SKILL.md`:\n\n```yaml\n---\nname: database-queries\ndescription: Database query patterns and best practices for this repository.\n---\n\n# Database Query Guidelines\n\n### Always Use Parameterized Queries\n[Pattern description with examples]\n\n### Connection Pool Management\n[Pattern description with examples]\n```\n\nPrefer skills over AGENTS.md updates, since AGENTS.md typically already contains general coding guidelines.\n\n### Step 6: Create Draft PR (if applicable)\n\nUse the `create_pr` tool to open a draft PR with the proposed changes. The PR description should include:\n- Number of PRs analyzed\n- Number of comments processed\n- Categories of patterns found\n- List of proposed changes (new skills and/or AGENTS.md updates)\n\n## Example Output\n\n### Sample Skill: API Error Handling\n\n```yaml\n---\nname: api-error-handling\ndescription: API error handling patterns for this repository.\n---\n\n# API Error Handling\n\n## Always Return Structured Errors\n\n❌ Avoid:\n```python\nreturn {\"error\": str(e)}\n```\n\n✅ Prefer:\n```python\nreturn {\n    \"error\": {\n        \"code\": \"VALIDATION_ERROR\",\n        \"message\": \"Invalid input\",\n        \"details\": {\"field\": \"email\", \"reason\": \"Invalid format\"}\n    }\n}\n```\n\n## Log Before Returning Errors\n\n```python\nlogger.error(f\"API error in {endpoint}: {e}\", exc_info=True)\nreturn error_response(e)\n```\n```\n\n## Defaults\n\nThis workflow analyzes PRs from the past 30 days by default.\n\n## Best Practices\n\n1. **Run periodically** - Schedule monthly or quarterly to capture evolving patterns\n2. **Review before merging** - Generated content is a draft; human review is essential\n3. **Iterate** - Refine patterns based on team feedback\n4. **Avoid duplication** - Check existing AGENTS.md and skills before adding\n5. **Cite sources** - Reference PR numbers when documenting patterns\n\n## Error Handling\n\nHandle these common edge cases gracefully:\n\n- **Repository has few PRs**: If fewer than 10 merged PRs exist in the timeframe, inform the user that there may not be enough data to identify patterns. Proceed with analysis but note the limited sample size.\n- **No patterns emerge**: When comments don't cluster into recurring themes (common for well-established codebases), report this to the user and suggest either expanding the time range or that the codebase may already have strong conventions.\n- **Token lacks repository access**: If the GitHub API returns 403/404, explain that the token may not have access to the repository and suggest checking token permissions.\n- **`gh` CLI unavailable**: Fall back to direct GitHub API calls using `curl` with `$GITHUB_TOKEN`, or inform the user that `gh` needs to be installed.\n\n## Limitations\n\n- Only analyzes accessible repositories (requires appropriate permissions)\n- Cannot capture verbal feedback from pair programming or meetings\n- Patterns may reflect individual reviewer preferences vs. team consensus\n- Historical comments may reference outdated code patterns\n\n## Additional Resources\n\nFor posting structured code reviews, see the `github-pr-review` skill.\nFor creating new skills, see the `skill-creator` skill.","trigger":{"type":"keyword","keywords":["/learn-from-reviews","learn from code review","distill reviews"]},"source":"/root/.openhands/cache/skills/public-skills/skills/learn-from-code-review/SKILL.md","inputs":[],"is_agentskills_format":true,"version":"1.0.0","description":"Distill code review feedback from GitHub PRs into reusable skills and guidelines. This skill should be used when users ask to \"learn from code reviews\", \"distill PR feedback\", \"improve coding standards\", \"extract learnings from reviews\", or want to generate skills/guidelines from historical review comments."},{"name":"datadog","content":"# Datadog\n\n<IMPORTANT>\nBefore performing any Datadog operations, first check if the required environment variables are set:\n\n```bash\n[ -n \"$DD_API_KEY\" ] && echo \"DD_API_KEY is set\" || echo \"DD_API_KEY is NOT set\"\n[ -n \"$DD_APP_KEY\" ] && echo \"DD_APP_KEY is set\" || echo \"DD_APP_KEY is NOT set\"\n[ -n \"$DD_SITE\" ] && echo \"DD_SITE is set\" || echo \"DD_SITE is NOT set\"\n```\n\nIf any of these variables are missing, ask the user to provide them before proceeding:\n- **DD_API_KEY**: Datadog API key\n- **DD_APP_KEY**: Datadog Application key\n- **DD_SITE**: Datadog site (e.g., `datadoghq.com`, `datadoghq.eu`, `us3.datadoghq.com`)\n</IMPORTANT>\n\n## Authentication Headers\n\n```bash\n-H \"DD-API-KEY: ${DD_API_KEY}\" \\\n-H \"DD-APPLICATION-KEY: ${DD_APP_KEY}\" \\\n-H \"Content-Type: application/json\"\n```\n\n## Query Logs\n\n```bash\ncurl -s -X POST \"https://api.${DD_SITE}/api/v2/logs/events/search\" \\\n  -H \"DD-API-KEY: ${DD_API_KEY}\" \\\n  -H \"DD-APPLICATION-KEY: ${DD_APP_KEY}\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"filter\": {\n      \"query\": \"service:my-service status:error\",\n      \"from\": \"now-1h\",\n      \"to\": \"now\"\n    },\n    \"sort\": \"-timestamp\",\n    \"page\": {\"limit\": 50}\n  }' | jq .\n```\n\n## Query Metrics\n\n```bash\ncurl -s -G \"https://api.${DD_SITE}/api/v1/query\" \\\n  -H \"DD-API-KEY: ${DD_API_KEY}\" \\\n  -H \"DD-APPLICATION-KEY: ${DD_APP_KEY}\" \\\n  --data-urlencode \"query=avg:system.cpu.user{*}\" \\\n  --data-urlencode \"from=$(date -d '1 hour ago' +%s)\" \\\n  --data-urlencode \"to=$(date +%s)\" | jq .\n```\n\n## Query APM Traces\n\n```bash\ncurl -s -X POST \"https://api.${DD_SITE}/api/v2/spans/events/search\" \\\n  -H \"DD-API-KEY: ${DD_API_KEY}\" \\\n  -H \"DD-APPLICATION-KEY: ${DD_APP_KEY}\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"filter\": {\n      \"query\": \"service:my-service\",\n      \"from\": \"now-1h\",\n      \"to\": \"now\"\n    },\n    \"sort\": \"-timestamp\",\n    \"page\": {\"limit\": 25}\n  }' | jq .\n```\n\n## List Monitors\n\n```bash\ncurl -s -G \"https://api.${DD_SITE}/api/v1/monitor\" \\\n  -H \"DD-API-KEY: ${DD_API_KEY}\" \\\n  -H \"DD-APPLICATION-KEY: ${DD_APP_KEY}\" | jq .\n```\n\n## Documentation\n\n- [Logs API](https://docs.datadoghq.com/api/latest/logs/)\n- [Metrics API](https://docs.datadoghq.com/api/latest/metrics/)\n- [APM/Tracing API](https://docs.datadoghq.com/api/latest/tracing/)\n- [Monitors API](https://docs.datadoghq.com/api/latest/monitors/)\n- [Events API](https://docs.datadoghq.com/api/latest/events/)\n- [Dashboards API](https://docs.datadoghq.com/api/latest/dashboards/)","trigger":{"type":"keyword","keywords":["datadog"]},"source":"/root/.openhands/cache/skills/public-skills/skills/datadog/SKILL.md","inputs":[],"is_agentskills_format":true,"version":"1.0.0","description":"Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. 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