Track changes during authorized red-team testing by comparing response times, headers, and account lockouts. Preserve evidence before and after changes, investigate possible defensive actions or concurrent attacks, and turn observations into timestamped findings.
- Investigate why a confirmed vulnerability stops reproducing
- Record response changes that suggest defensive measures
- Examine newly appearing account lockouts
elementalsouls/Claude-BugHunter☆ 5.2KUpdated Oct 20, 2026
Assess GraphQL APIs in financial services for unauthorized transfers, rounding errors, duplicate transactions, and exposed personal data. The skill guides checks of account permissions and ledger changes to distinguish actual financial impact from misleading success responses.
- Reviewing transfer and withdrawal permissions
- Checking rounding and duplicate transaction handling
- Inspecting access to identity verification data
elementalsouls/Claude-BugHunter☆ 5.2KUpdated Oct 20, 2026
Organize a bug bounty investigation from reconnaissance through reporting. The skill helps choose a focused objective, identify the current phase, select relevant techniques and tools, and distinguish reproducible security impact from misleading test results.
- Setting objectives at the start of an investigation
- Choosing the next step when testing stalls
- Replanning after switching targets
elementalsouls/Claude-BugHunter☆ 5.2KUpdated Oct 20, 2026
Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.
- Clarifying philosophical foundations for a research proposal
- Explaining why the chosen research methods fit the study
- Drafting a statement about the researcher's position
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Coordinate research from question development through literature searches, analysis, and publication with specialized agents. Supports quantitative, qualitative, and mixed methods studies, plus systematic reviews, with human approval at key decisions about research direction and methods.
- Refining research questions and choosing a theoretical framework
- Planning a systematic review and approving screening criteria
- Designing a qualitative study using interviews
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Plan quantitative research by comparing experiments and surveys against research goals and resource limits. Get design recommendations, sample size calculations, participant recruitment strategies, and experimental materials, with an assessment of factors that could distort results.
- Compare experimental and survey designs
- Estimate the number of participants needed
- Plan participant sampling and recruitment
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
View a dashboard for a social science research environment with 24 specialized agents. Check configuration, project stage, human review settings, and connection readiness for paper retrieval services and other research tools.
- Check research environment configuration
- Review project stage and human checkpoints
- Find missing API settings
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Analyze empirical economics PDFs through five questions covering the research problem, causal identification, target effect, robustness, and contribution. Receive a structured Chinese report and a practical checklist of research methods to adapt to other studies.
- Reading an empirical economics paper systematically
- Understanding how a paper identifies causal effects
- Examining robustness checks and research limitations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Clean up completed research folders by identifying temporary and intermediate files for confirmed removal. Preserve papers, final findings, screening history, and methodology records, then check that essential files remain intact and report the space recovered.
- Preparing a completed research folder for archiving
- Organizing research files before sharing with collaborators
- Reviewing accumulated temporary files for removal
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Review economic reports for methodological gaps, unsupported figures, and errors such as double counting. Produce a red, amber, and green scorecard with issues ranked by severity, using the relevant appraisal framework and proposing corrections when requested.
- Checking fiscal and macroeconomic briefings before submission
- Reviewing cost-benefit assumptions and double counting
- Auditing reports against a selected appraisal framework
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Evaluate research papers and scientific claims by examining study design, statistics, bias, and evidence quality. Receive a structured critique of strengths, weaknesses, supported conclusions, and practical improvements, with uncertainty and limitations made explicit.
- Reviewing a paper's methods and conclusions
- Assessing evidence quality across studies
- Checking scientific claims in media reports
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Evaluate scientific manuscripts and grant proposals for sound methods, statistics, reproducibility, ethics, and clear reporting. Produce a structured review that separates major concerns from minor issues and gives authors specific, constructive suggestions for revision.
- Preparing a structured review of a scientific manuscript
- Evaluating methods and statistics in a grant proposal
- Checking reproducibility and reporting guidelines
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.
- Review a manuscript before journal submission
- Examine research methods and statistical validity
- Challenge core arguments and alternative explanations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Develop a research question, search and verify literature, combine findings, and produce a structured report. Seven modes cover guided research discussions, briefs, literature reviews, fact-checking, and systematic reviews, with statistical pooling of study results when appropriate.
- Clarify a research topic through guided questions
- Build an annotated bibliography and synthesize findings
- Check claims against verified sources
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Map an authorized target's subdomains, active websites, and technologies, then organize vulnerability checks with security tools. The skill covers reconnaissance workflows, automated scans, and XSS testing for flaws that let injected scripts run in web pages.
- Discover subdomains and active websites within an approved scope
- Identify technologies and hidden API endpoints
- Build a repeatable reconnaissance pipeline
zebbern/claude-code-guide☆ 4.7KUpdated Oct 21, 2026
Plan and coordinate penetration tests with checklists covering objectives, scope, environment preparation, tester selection, monitoring, and follow-up. Helps teams define deliverables, prioritize vulnerabilities, arrange fixes and verification, and clean up test accounts and artifacts.
- Defining penetration test objectives and scope
- Preparing test environments and monitoring
- Selecting testers and agreeing on report requirements
zebbern/claude-code-guide☆ 4.7KUpdated Oct 21, 2026
Get a simulated peer review of a paper, abstract, or selected sections. Receive assessments of originality, methods, results, and writing, with specific revision suggestions, severity ratings, and a prioritized checklist for improving the manuscript.
- Run a simulated peer review before submitting a paper
- Check whether methods and conclusions are adequately supported
- Review an abstract for novelty and clarity
zebbern/claude-code-guide☆ 4.7KUpdated Oct 21, 2026
Review scientific manuscripts and grant proposals using structured checklists. Assess methods, statistics, reproducibility, ethics, and reporting completeness, then organize findings into a balanced report with major concerns, minor comments, and specific suggestions for revision.
- Drafting a structured journal peer review
- Reviewing methods in a grant proposal
- Checking a manuscript before revision
spacering-net/codeg☆ 4.1KUpdated Oct 21, 2026
Assess papers, research proposals, and literature reviews using structured quality criteria. Receive strengths, weaknesses, optional five-point scores, and prioritized suggestions tied to specific sections, with expectations adjusted to the work’s purpose and development stage.
- Checking a paper before journal or conference submission
- Reviewing research methods and analysis
- Assessing the coverage and synthesis of a literature review
spacering-net/codeg☆ 4.1KUpdated Oct 21, 2026
Turn a plain language feature request into spec.md with user stories, testable requirements, and acceptance criteria. Create a feature branch and a separate quality checklist, documenting assumptions and clarifying important gaps before planning begins.
- Turning a new feature idea into a specification
- Refining vague requests into testable requirements
- Defining acceptance criteria and measurable outcomes
foryourhealth111-pixel/Vibe-Skills☆ 3.8KUpdated Oct 20, 2026
Write structured reviews of scientific manuscripts and grant proposals. Assess methods, statistics, reproducibility, ethics, and reporting completeness, then organize strengths, major concerns, minor issues, and specific suggestions into constructive feedback.
- Drafting a journal manuscript review
- Reviewing a research grant proposal
- Checking methods and statistical reporting before revision
foryourhealth111-pixel/Vibe-Skills☆ 3.8KUpdated Oct 20, 2026
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.
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samber/cc-skills-golang☆ 3.6KUpdated Oct 1, 2026
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI, or debugging flaky/slow tests. For testify-specific APIs see `samber/cc-skills-golang@golang-stretchr-testify`; for measurement methodology see `samber/cc-skills-golang@golang-benchmark`.
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samber/cc-skills-golang☆ 3.6KUpdated Oct 1, 2026
Troubleshoot Golang programs systematically - find and fix the root cause. Use when encountering bugs, crashes, deadlocks, races, or unexpected behavior in Go code. Covers debugging methodology, common Go pitfalls, test-driven debugging, pprof setup and capture, Delve, race detection, GODEBUG tracing, and production debugging. Start here for any 'something is wrong' situation. Not for interpreting profiles or benchmarking (→ See `samber/cc-skills-golang@golang-benchmark` skill), applying optimization patterns (→ See `samber/cc-skills-golang@golang-performance` skill), or designing new code (→ See `samber/cc-skills-golang@golang-safety` skill for defensive coding, `samber/cc-skills-golang@golang-concurrency` skill for concurrency design).
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samber/cc-skills-golang☆ 3.6KUpdated Oct 1, 2026