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All rights reserved. -->\n\u003C!-- SPDX-License-Identifier: Apache-2.0 -->\n\n# Axe Accessibility Testing Skill\n\nAutomated testing via the `axe-a11y` MCP server. Not a framework, not a manual-testing helper — the server executes automated scans and returns actual WCAG violation JSON.\n\n## What This Skill Runs Under the Hood\n\n- **Real Google Chrome Stable** installed inside the container (not Playwright-bundled Chromium)\n- **Patchright** — a Playwright fork that patches CDP-level detection leaks, so bot walls (Amazon, Cloudflare, DataDome, Akamai) don't fire on well-known Playwright signals\n- **Persistent Chrome profile** bind-mounted from the host — cookies + Login Data survive container restarts, so authenticated audits work after a one-time manual sign-in\n- **Xvfb + VNC on :5900** — Chrome is headed (headed is required for realistic fingerprinting); operators can watch it via VNC\n- **axe-core WCAG 2.0\u002F2.1 A\u002FAA\u002FAAA compliance checking** with node-level details and remediation guidance\n\n## Tools\n\nYou have access to the following tools via the `axe-a11y` MCP server:\n\n### 1. `audit_page`\nRun a full accessibility audit on a given URL.\n- **Inputs**: `url` (required), `tags` (optional, e.g. `[\"wcag2aa\"]`), `include_passes` (optional boolean), `ignore_https_errors` (optional boolean)\n- **Use when**: You need a comprehensive list of accessibility violations on a page.\n\n### 2. `check_specific_rules`\nCheck specific axe-core rules on a page.\n- **Inputs**: `url` (required), `rules` (required, e.g. `[\"color-contrast\", \"image-alt\"]`), `ignore_https_errors` (optional boolean)\n- **Use when**: You are testing for a small set of targeted issues.\n\n### 3. `audit_element`\nAudit a specific element on the page by CSS selector.\n- **Inputs**: `url` (required), `selector` (required), `ignore_https_errors` (optional boolean)\n- **Use when**: You want to test a single component, like a navigation menu or form.\n\n### 4. `get_wcag_summary`\nGet a high-level WCAG compliance summary.\n- **Inputs**: `url` (required), `ignore_https_errors` (optional boolean)\n- **Use when**: You want a quick pass\u002Ffail summary without all node-level details.\n\n### 5. `axe_capture_page`\nCapture a rendered screenshot of the page.\n- **Inputs**: `url` (required), `full_page` (optional boolean), `wait_for_selector` (optional string), `wait_for_text` (optional string), `ignore_https_errors` (optional boolean)\n- **Use when**: You need visual proof of what the browser actually rendered.\n\n### 6. `axe_capture_element`\nCapture a screenshot of a specific element.\n- **Inputs**: `url` (required), `selector` (required), `ignore_https_errors` (optional boolean)\n- **Use when**: You want evidence focused on one component.\n\n### 7. `record_page_session`\nRecord a short browser session video.\n- **Inputs**: `url` (required), `duration_ms` (optional integer), `capture_final_screenshot` (optional boolean), `ignore_https_errors` (optional boolean)\n- **Use when**: You want to diagnose delayed rendering, lazy-loaded assets, or login transitions.\n\n### 8. `generate_pdf`\nGenerate a PDF export of the rendered page.\n- **Inputs**: `url` (required), `format` (optional: a4\u002Fa3\u002Fa5\u002Fletter\u002Flegal\u002Ftabloid\u002Fcustom), `landscape` (optional boolean), `print_background` (optional boolean), `margin` (optional object), `page_ranges` (optional string), `ignore_https_errors` (optional boolean)\n- **Use when**: You need a printable capture of the fully rendered page for reports, handoff, or archival.\n\n### 9. `capture_network`\nCapture page-load network activity and optionally export HAR.\n- **Inputs**: `url` (required), `export_format` (optional: `summary` or `har`), `ignore_https_errors` (optional boolean)\n- **Use when**: You need request\u002Fresponse counts, status breakdowns, content-type summaries, or a HAR artifact for deeper debugging.\n\n## Artifact Access\n\nTools that generate files return `*_artifact_url` fields. Always use the exact\nURL returned by the tool instead of rewriting the host manually.\n\nThe artifact URL host is derived from the MCP endpoint used for the request:\n- Host-local MCP calls return host-local artifact URLs such as `http:\u002F\u002F127.0.0.1:9010\u002F...`\n- `browser-sandbox` MCP calls return sandbox-compatible artifact URLs such as `http:\u002F\u002Fhost.docker.internal:9010\u002F...`\n\n**Example:**\n```json\n{\n  \"pdf_artifact_url\": \"http:\u002F\u002Fhost.docker.internal:9010\u002Fartifacts\u002Fpdfs\u002Fexample-com-export-123.pdf\"\n}\n```\n\n**From `browser-sandbox`:**\n```bash\ncurl -o report.pdf \"http:\u002F\u002Fhost.docker.internal:9010\u002Fartifacts\u002Fpdfs\u002Fexample-com-export-123.pdf\"\n```\n\nIf artifact download returns `403` from the sandbox, re-sync the live skill and\nOpenShell policy:\n\n```bash\n.\u002Fscripts\u002Fbring-up.sh\n```\n\n## Reporting Guidelines\n\n**IMPORTANT**: When presenting accessibility audit results to users:\n\n- ✅ Present this as an **automated accessibility scan**\n- ✅ State that this uses **axe-core with real Google Chrome under patchright** — production browser automation\n- ✅ Report actual violations found with specific details and remediation guidance\n- ✅ Clarify that automated tools like axe-core typically catch ~57% of WCAG issues automatically. Mention that manual evaluation is required for comprehensive conformance.\n- ✅ Explicitly review and return `incomplete` items reported by the server, as these require human verification.\n\nIf a site returns an error, a bot-wall page, or a login screen, the recovery path is `node src\u002Fmanual-login.js \u003Curl>`, not adding a disclaimer.\n\n## Best Practices\n\n1. **Certificate errors**: If a site has certificate issues, use `ignore_https_errors: true`.\n2. **Wait for dynamic portals**: The server navigates with `load`, then waits for visible images and optional selectors\u002Ftext. For dynamic pages, provide `wait_for_selector` or `wait_for_text`.\n3. **Start broad, then zoom in**: Use `get_wcag_summary` first, then `audit_page` or `check_specific_rules` for detail.\n4. **Authenticated sites**: The persistent profile is disabled by default. 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Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1298,1301,1304],{"name":1299,"slug":1300,"type":15},"Documentation","documentation",{"name":1302,"slug":1303,"type":15},"MCP","mcp",{"name":1305,"slug":1306,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-08-25T03:29:57.273192",{"slug":1311,"name":1311,"fn":1312,"description":1313,"org":1314,"tags":1315,"stars":1325,"repoUrl":1326,"updatedAt":1327},"mcore-build-and-dependency","manage Megatron-LM development environments","Container-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1316,1319,1322],{"name":1317,"slug":1318,"type":15},"Containers","containers",{"name":1320,"slug":1321,"type":15},"Deployment","deployment",{"name":1323,"slug":1324,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":1329,"name":1329,"fn":1330,"description":1331,"org":1332,"tags":1333,"stars":1325,"repoUrl":1326,"updatedAt":1338},"mcore-bump-base-image","update NVIDIA PyTorch base images","Bump the NVIDIA PyTorch base image (`nvcr.io\u002Fnvidia\u002Fpytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker\u002F.ngc_version.dev` and GitLab CI in `.gitlab\u002Fstages\u002F01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1334,1337],{"name":1335,"slug":1336,"type":15},"CI\u002FCD","ci-cd",{"name":1320,"slug":1321,"type":15},"2026-07-14T05:25:59.97109",{"slug":1340,"name":1340,"fn":1341,"description":1342,"org":1343,"tags":1344,"stars":1325,"repoUrl":1326,"updatedAt":1348},"mcore-cicd","manage CI\u002FCD pipelines for Megatron-LM","CI\u002FCD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request\u002FBRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1345,1346,1347],{"name":1335,"slug":1336,"type":15},{"name":1320,"slug":1321,"type":15},{"name":1219,"slug":1220,"type":15},"2026-08-28T14:38:16.959248",{"slug":1350,"name":1350,"fn":1351,"description":1352,"org":1353,"tags":1354,"stars":1325,"repoUrl":1326,"updatedAt":1360},"mcore-create-issue","investigate CI failures and create issues","Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1355,1358,1359],{"name":1356,"slug":1357,"type":15},"Debugging","debugging",{"name":1219,"slug":1220,"type":15},{"name":1286,"slug":1287,"type":15},"2026-07-14T05:25:57.442089",{"slug":1362,"name":1362,"fn":1363,"description":1364,"org":1365,"tags":1366,"stars":1325,"repoUrl":1326,"updatedAt":1371},"mcore-linting-and-formatting","lint and format Megatron-LM code","Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1367,1368],{"name":1039,"slug":1036,"type":15},{"name":1369,"slug":1370,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":1373,"name":1373,"fn":1374,"description":1375,"org":1376,"tags":1377,"stars":1325,"repoUrl":1326,"updatedAt":1385},"mcore-migrate-gpt-to-hybrid","migrate Megatron-LM models to HybridModel","Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel, including the mechanical steps for transferring an existing pretrain_gpt.py launch script.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1378,1381,1384],{"name":1379,"slug":1380,"type":15},"Machine Learning","machine-learning",{"name":1382,"slug":1383,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-08-21T03:36:57.470256",{"slug":1387,"name":1387,"fn":1388,"description":1389,"org":1390,"tags":1391,"stars":1325,"repoUrl":1326,"updatedAt":1394},"mcore-onboard-gb200-1node-tests","onboard functional tests for GB200","Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1392,1393],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-14T05:25:53.673039",{"slug":1396,"name":1396,"fn":1397,"description":1398,"org":1399,"tags":1400,"stars":1325,"repoUrl":1326,"updatedAt":1405},"mcore-run-on-slurm","launch distributed training jobs on SLURM","How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1401,1402],{"name":1320,"slug":1321,"type":15},{"name":1403,"slug":1404,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":1407,"name":1407,"fn":1408,"description":1409,"org":1410,"tags":1411,"stars":1325,"repoUrl":1326,"updatedAt":1419},"mcore-split-pr","split pull requests to reduce review load","Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1412,1415,1416],{"name":1413,"slug":1414,"type":15},"Code Review","code-review",{"name":1219,"slug":1220,"type":15},{"name":1417,"slug":1418,"type":15},"Pull Requests","pull-requests","2026-08-25T03:29:16.211287",{"slug":1421,"name":1421,"fn":1422,"description":1423,"org":1424,"tags":1425,"stars":1325,"repoUrl":1326,"updatedAt":1428},"mcore-testing","run and manage Megatron-LM tests","Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1426,1427],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-14T05:25:54.928983",{"slug":1430,"name":1430,"fn":1431,"description":1432,"org":1433,"tags":1434,"stars":1325,"repoUrl":1326,"updatedAt":1439},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1435,1438],{"name":1436,"slug":1437,"type":15},"Automation","automation",{"name":1335,"slug":1336,"type":15},"2026-07-30T05:29:03.275638",563]