[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AC3Y77VB5C437JYFS42QFH":3,"skill-same:01M6AC3Y77VB5C437JYFS42QFH":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":47,"ownerHtmlUrl":48,"ownerBlogUrl":49,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M6AC3Y77VB5C437JYFS42QFH","test-coverage-improver",null,"Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.","openai\u002Fopenai-agents-python","openai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4","01M6AC29YGCR4S2NTJFV0G8B81","OpenAI","01M6AC2Y1RF9XDR59QMSQSGNJF",30602,"MIT","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ftest-coverage-improver\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36],"test","test coverage improver","coverage","test coverage","python","sdk","coverage gaps","python sdk","use","for","metric","gaps","routine","2026-11-10 10:12:30",false,"---\nname: test-coverage-improver\ndescription: Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.\n---\n\n# Test Coverage Improver\n\nUse current coverage evidence to identify missing caller-visible behavior tests. Select this workflow for coverage measurement, coverage-metric regressions, or finding gaps from coverage artifacts. When the user already specifies the behaviors to test, use the ordinary implementation\u002Freview workflow without coverage measurement unless measurement is also requested. Adding tests alone does not trigger this skill or its final `make coverage` step.\n\n## Scope and authorization\n\nFor assessment or proposal-only requests, report gaps and suggested tests without editing. When the user requests test improvements or has approved a plan, implement the scoped tests and complete review and verification without asking again. Ask only when a new contract decision, expanded scope, or additional authority is needed. Coverage work never authorizes live API calls or broader sandbox access.\n\n## Workflow\n\n1. Inspect current `.coverage`, `coverage.xml`, and any recorded command\u002Fenvironment evidence. Reuse them only when they represent the relevant source and test state. If missing or stale, run `make coverage` under the repository's verification sandbox and credential policy; this initial measurement precedes implementation review. Respect host-capacity guidance before broad measurement.\n2. Identify uncovered behavior within the requested scope. Prioritize public behavior and meaningful error, cancellation, and lifecycle paths over percentage-only targets. Use `uv run coverage report -m` or `coverage.xml` to locate gaps.\n3. For an assessment, report evidence and proposed scenarios. For authorized implementation, choose tests with independent expected results at the highest controllable caller boundary. Do not add tests that merely reproduce helper logic or enumerate unsupported permutations.\n4. Implement tests, run affected checks, and complete `$implementation-final-review`. Keep iterative verification focused; do not repeatedly run full coverage while review is incomplete.\n5. After clean review, run `make coverage` for the final measurement and `$code-change-verification` for the required SDK gates. These have different purposes; reuse an already valid final measurement rather than repeating it. Report coverage changes, verified behaviors, and material gaps that remain.\n\n## Reporting\n\nState the scope and age of coverage evidence, the behavior each new test protects, validation results, and unresolved gaps. Keep comments and code in English. Do not treat coverage percentages alone as proof of correctness.\n","# Test Coverage Improver\n\nUse current coverage evidence to identify missing caller-visible behavior tests. Select this workflow for coverage measurement, coverage-metric regressions, or finding gaps from coverage artifacts. When the user already specifies the behaviors to test, use the ordinary implementation\u002Freview workflow without coverage measurement unless measurement is also requested. Adding tests alone does not trigger this skill or its final `make coverage` step.\n\n## Scope and authorization\n\nFor assessment or proposal-only requests, report gaps and suggested tests without editing. When the user requests test improvements or has approved a plan, implement the scoped tests and complete review and verification without asking again. Ask only when a new contract decision, expanded scope, or additional authority is needed. Coverage work never authorizes live API calls or broader sandbox access.\n\n## Workflow\n\n1. Inspect current `.coverage`, `coverage.xml`, and any recorded command\u002Fenvironment evidence. Reuse them only when they represent the relevant source and test state. If missing or stale, run `make coverage` under the repository's verification sandbox and credential policy; this initial measurement precedes implementation review. Respect host-capacity guidance before broad measurement.\n2. Identify uncovered behavior within the requested scope. Prioritize public behavior and meaningful error, cancellation, and lifecycle paths over percentage-only targets. Use `uv run coverage report -m` or `coverage.xml` to locate gaps.\n3. For an assessment, report evidence and proposed scenarios. For authorized implementation, choose tests with independent expected results at the highest controllable caller boundary. Do not add tests that merely reproduce helper logic or enumerate unsupported permutations.\n4. Implement tests, run affected checks, and complete `$implementation-final-review`. Keep iterative verification focused; do not repeatedly run full coverage while review is incomplete.\n5. After clean review, run `make coverage` for the final measurement and `$code-change-verification` for the required SDK gates. These have different purposes; reuse an already valid final measurement rather than repeating it. Report coverage changes, verified behaviors, and material gaps that remain.\n\n## Reporting\n\nState the scope and age of coverage evidence, the behavior each new test protects, validation results, and unresolved gaps. Keep comments and code in English. Do not treat coverage percentages alone as proof of correctness.\n",{"name":5,"description":7},"main","e355d69152d4f4730dfb03b63dbce53e8d9f5d8c",".agents\u002Fskills\u002Ftest-coverage-improver",5029,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","https:\u002F\u002Fopenai.github.io\u002Fopenai-agents-python\u002F","https:\u002F\u002Fgithub.com\u002Fopenai","https:\u002F\u002Fopenai.com\u002F","2026-11-11 08:35:18",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add openai\u002Fopenai-agents-python --skill test-coverage-improver",{"tool":57,"command":58},"bunx","bunx skills add openai\u002Fopenai-agents-python --skill test-coverage-improver",{"tool":60,"command":61},"pnpm","pnpm dlx skills add openai\u002Fopenai-agents-python --skill test-coverage-improver","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ftest-coverage-improver\u002FSKILL.md",true,[65],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"agents\u002Fopenai.yaml","REFERENCE","参考文档",264,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ftest-coverage-improver\u002Fagents\u002Fopenai.yaml",[72,90,103,121,136,150],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":81,"publishedAt":37},"01M6AC44SFMJ4HVV9JMHG512AF","csv-workbench","Analyze CSV files in \u002Fmnt\u002Fdata and return concise numeric summaries.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002Fexamples\u002Ftools\u002Fskills\u002Fcsv-workbench\u002FSKILL.md",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000004","电子表格",[82,83,84,85,86,87,88,89],"csv workbench","csv","data","analyze","files","concise","summaries","analyze csv files",{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":97,"publishedAt":37},"01M6AC4378JAXKE5EY80EP53YJ","playwright","Use when the task requires capturing or automating a real browser from the terminal.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002Fexamples\u002Fsandbox\u002Ftutorials\u002Fvision_website_clone\u002Fskills\u002Fplaywright\u002FSKILL.md",[96],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[92,32,98,99,100,101,102],"terminal","browser","task","real browser","when",{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":37},"01M6AC41D0TJJSDT1GR852DPZK","prior-auth-packet-builder","Build a concise prior authorization packet from local case files and payer policy docs.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002Fexamples\u002Fsandbox\u002Fhealthcare_support\u002Fskills\u002Fprior-auth-packet-builder\u002FSKILL.md",[],[110,111,112,113,114,86,115,116,87,117,118,119,120],"auth","prior auth packet builder","builder","local","build","prior authorization","case","payer","authorization","docs","policy",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":127,"publishedAt":37},"01M6AC3ZYJZVN0CQBJTJR59TXX","credit-note-fixer","Fix the tiny credit-note formatting bug and rerun the exact targeted test command.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002Fexamples\u002Fsandbox\u002Fdocs\u002Fskills\u002Fcredit-note-fixer\u002FSKILL.md",[],[128,129,130,131,24,132,133,134,135],"credit note fixer","fixer","note","rerun","command","fix","bug","formatting",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":142,"publishedAt":37},"01M6AC3W7HPNRB7F6ZER6G5ZM9","sensitive-logging-audit","Audit or fix sensitive-data exposure in Python SDK diagnostics, exceptions, logging, and telemetry.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsensitive-logging-audit\u002FSKILL.md",[],[143,144,145,146,28,29,147,148,84,31,133,149],"audit","logging","sensitive logging audit","sensitive-data","telemetry","diagnostics","data exposure",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":37},"01M6AC3T3T4PX36423023Y6MG8","runtime-behavior-probe","Plan controlled runtime probes when explicitly invoked; execute only after the required probe approval.","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fruntime-behavior-probe\u002FSKILL.md",[],[157,158,159,160,161,162,163,164,102],"runtime behavior probe","runtime","probe","behavior","plan","execute","approval","only"]