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qwzx4893-stack/WISE-Agent
Score58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.
At session start, read the session baton (docs/session/baton.md) and orient: restate this session's goal and the single next task, then open any doc listed under "Read first" before starting work. Does not start the task automatically.
Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QA_TEST_PLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks. Diagnoses failures, applies fixes with up to 3 retry rounds, and records results in QA_TEST_PROGRESS.md. Use when user says 'run QA', 'QA test', 'QA 测试', '执行测试', '跑测试', 'test and fix', or wants to execute QA test plan.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Automate account creation on any target domain during bug-bounty work, end to end: disposable-inbox creation with the agent-email CLI (the core inbox methodology — https://github.com/zaddy6/agent-email), browser-driven signup forms (React, Knockout, Headless-UI, react-select, intl-tel-input, Knockout wizards), email verification (links or codes), onboarding completion incl. file-upload walls, and session capture. Use whenever the user wants to "sign up", "create an account", "register", "get credentials for", or "use" a target domain while hunting — even mid-campaign when a surface is blocked by missing credentials. Also handles blocker taxonomy: reCAPTCHA gates, IP-flagged signups, region gates — with the exact handoff to ask the user for.
Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.
Expert in Jira operations using Atlassian MCP - automatically detects workspace Jira configuration or prompts for project details. Use for searching, creating, updating issues, managing status transitions, and handling tasks.
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
Use when you have high-resolution MS2 data in .ms2 format from lipid A samples and need to perform automated structure annotation to identify lipid A molecular variants and their fragmentation patterns at scale.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Recommend and execute an efficient Astra, Sol, or Luna route with GPT-5.6 compatibility with low-through-max reasoning for Codex project work. Prefer bounded direct tool concurrency, but automatically create or reuse a model-specific leaf agent when route-fit benefit clearly exceeds startup and aggregation overhead; no extra user permission is required. Use for code changes, tests, reviews, routed implementation, model recommendations, usage queries, retuning, and requests to disable, exit, restore, or check this Skill for the current project. Use the legacy strict state machine only when the user explicitly requests strict ledger auditing. Never auto-select Ultra or create a new top-level Codex task.
Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QA_TEST_PLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks. Diagnoses failures, applies fixes with up to 3 retry rounds, and records results in QA_TEST_PROGRESS.md. Use when user says 'run QA', 'QA test', 'QA 测试', '执行测试', '跑测试', 'test and fix', or wants to execute QA test plan.
Generates a complete, professional client onboarding package for AI consultants, AI auditors, and solopreneurs working in the AI space (AI strategy, automation, AI readiness audits, implementation, training, etc.). Use this skill whenever a user asks to onboard a new client, set up a client folder, write a welcome email, generate a discovery questionnaire, draft a service agreement, or create a project brief — especially in an AI consulting context. Also trigger when the user says things like "I have a new client", "prepare onboarding docs", "create a client package", or "set up a new project". Produces four ready-to-use deliverables: intake questionnaire, welcome email, service agreement, and project brief.
How to query OpenTelemetry metrics datasets in Honeycomb correctly. Metrics datasets follow different rules from trace/event datasets — many operations (bare COUNT, RATE_SUM, RATE_AVG, RATE_MAX, CONCURRENCY) are forbidden, temporal aggregation is automatic, and each metric has its own attributes. Use this skill when querying a metrics dataset (gauges, counters, histograms, sums), asking about temporal aggregation (RATE, INCREASE, SUMMARIZE, LAST), finding the metrics dataset or discovering metric names and attributes, debugging unexpected metrics query results, or querying infrastructure metrics like CPU, memory, disk I/O, or network stats. Do NOT use for instrumenting metrics (use otel-instrumentation), querying event datasets with "metrics" in their name, or conceptual questions (use observability-fundamentals).
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score
58
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.