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Claude Skills by jmagly

github.com/jmagly
394 skillsA× 375B× 12C× 3D× 2F× 249 installs2,188 views
Pnpm Release Age GateA

Configure pnpm's minimumReleaseAge gate (7-day default, 10-day high-sensitivity) plus blockExoticSubdeps for workspace-scope dep-source enforcement. Includes Corepack detection and lockfile-caveat warning.

data-aigobash
0
139
Sanitizer In CiA

Detect language/toolchain and emit CI job recipes that build with runtime sanitizers (ASan/UBSan/MSan/TSan, race detectors, faulthandler)

developmentpythonrust
0
139
Secret Handling RuntimeB

Decision aid for runtime secret hygiene — fd passing, scratch surface, error-path safety, identifier hygiene, and avoiding the SECRETS_ENV aggregation anti-pattern.

data-aipythongo
0
139
Security Disclosure TrackA

Track private vulnerability reports from triage through fix, CVE coordination, embargo, publication, and post-disclosure closure

data-aigobash
0
139
Security Engineering QuickrefA

AUTO-INVOKE when user mentions cryptography, AEAD, KDF, chain of trust, signing key, auth factor, MFA, secret hygiene, supply chain trust, physical threat, DFIR readiness, or incident evidence handoff. Security-engineering quick reference — decision domains for crypto primitives, chain-of-trust, auth factors, degraded modes, supply-chain trust, physical-threat modeling, and DFIR readiness routing.

data-aipythonrust
0
139
Security ReportA

Guide a reporter through filing a private vulnerability report and route it to the project's configured private channel — never to a public issue tracker

data-aigobash
0
139
Strict Toolchain AuditA

Check build and CI configuration for warning-as-error, strict typechecking, and language-specific compiler/linter floors

data-aitypescriptpython
0
139
Supply Chain Hardening QuickstartA

Orchestrate a pragmatic npm supply-chain hardening pass: dependency-source audit, release-age gate, lifecycle-script review, trusted publishing, signed releases, SBOM, and user verification docs.

data-airustnode
0
139
Supply Chain TrustA

Decision aid for supply-chain trust beyond CVE/SBOM — pinning depth, reproducible builds, snapshot pins, firmware locking, and vendor+hash-lock for critical-path deps.

data-aipythonrust
0
139
Yarn Release Age GateA

Configure Yarn's npmMinimalAgeGate (7-day default, 10-day high-sensitivity) for JavaScript projects on Yarn 4.x or later. Includes Corepack detection and lockfile-caveat warning.

data-aijavascriptjava
0
139
Address IssuesA

Address open issues using issue-thread-driven agent loops with 2-way human-AI collaboration

data-aigobash
0
139
Aiwg KbA

Search AIWG knowledge base for help, documentation, and troubleshooting

data-aigoshell
0
139
Aiwg Setup ProjectC

Update project CLAUDE.md with AIWG framework context and configuration

data-aipythongo
0
139
Aiwg Setup WarpC

Setup Warp Terminal with AIWG framework context (preserves existing content)

data-aipythongo
0
139
Aiwg Update Agents MdA

Update AGENTS.md with project-specific context for Factory AI based on codebase analysis

developmenttypescriptpython
0
139
Aiwg Update ClaudeA

Update existing project CLAUDE.md with latest AIWG orchestration guidance

data-aipythongo
0
139
Project StatusA

Analyze project state from .aiwg/ artifacts and provide contextual status with recommended next steps

data-aigobash
0
139
Cloud ForensicsA

AWS, Azure, and GCP forensic investigation covering audit logs, IAM review, storage access, network flows, and compute instance forensics

data-airustgo
0
139
Container ForensicsA

Forensic investigation of Docker, containerd/CRI-O, and Kubernetes — inventory, escape detection, eBPF runtime monitoring, RBAC and etcd audit. Use when investigating container compromise.

data-aipythonrust
0
139
Evidence PreservationA

Chain of custody and evidence preservation procedures covering log collection, hash verification, custody documentation, and evidence packaging per RFC 3227

data-aigobash
0
139
Forensics AcquireB

Evidence acquisition with chain of custody and hash verification

data-aigoshell
0
139
Forensics HuntA

Threat hunt using Sigma rules against log sources

data-aipythongo
0
139
Forensics InvestigateA

Full multi-agent investigation workflow

data-aigoshell
0
139
Forensics IocA

Extract and enrich indicators of compromise

data-airustgo
0
139
Forensics ProfileB

Build target system profile via SSH or cloud API enumeration

data-aigoshell
0
139
Forensics QuickrefA

Forensics framework quick reference — capability domains and curated discovery phrases for incident response, log analysis, evidence preservation, and IOC extraction

data-aigobash
0
139
Forensics ReportA

Generate forensic investigation report

data-aigobash
0
139
Forensics StatusA

Show investigation status dashboard

data-aigobash
0
139
Forensics TimelineA

Build correlated event timeline from multiple sources

data-aigoshell
0
139
Forensics TriageB

Quick triage investigation following RFC 3227 volatility order

data-aigobash
0
139
Ioc ExtractionA

Extract, classify, deduplicate, and enrich IOCs from investigation artifacts; map to STIX 2.1 observables

data-airustgo
0
139
Linux ForensicsF

Generalized Linux incident response and forensic analysis covering Debian/Ubuntu, RHEL/CentOS/Rocky, and SUSE families

data-aipythonbash
0
139
Log AnalysisA

Correlate auth.log, syslog, journald, application, and web logs to detect brute force, privilege escalation, and lateral movement.

data-aigophp
0
139
Memory ForensicsA

Volatility 3 memory forensics workflows covering acquisition with LiME and WinPmem, and structured analysis using Volatility 3 plugin reference

data-aigoshell
0
139
Sigma HuntingA

Apply Sigma rules against log sources for threat hunting; convert rules to Elasticsearch, Splunk, and grep queries

data-aigobash
0
139
Supply Chain ForensicsD

SBOM analysis, build pipeline forensics, and dependency verification covering package integrity, build reproducibility, and CI/CD pipeline tampering

data-aipythonrust
0
139
Target ProfilingF

Research and build a target system profile via SSH — discovers OS, services, users, network baseline, and security stack

data-aishellbash
0
139
Kb HealthA

Lint and health-check the knowledge base. Finds orphan pages, missing cross-references, stale claims, broken wiki-links, and regenerates the index.

data-aipythongo
0
139
Kb IngestA

Ingest a source (URL, file, or freeform note) into the knowledge base. Creates a source summary and updates or creates relevant entity and concept pages.

data-aigobash
0
139
Knowledge Base QuickrefA

Knowledge-base framework quick reference — capability domains and curated discovery phrases for KB ingest/health, semantic-memory kernel skills, and llm-wiki profiles

data-aibashnode
0
139
Asset ProductionA

Project directory path (default current directory)

data-aibashspring
0
139
Brand AuditA

Project directory path (default current directory)

data-aigobash
0
139
Brand Identity RefinementA

Refine brand identity through metaphor testing, competitive research, and owner-grounded verification tied to repository reality

data-aigoexpress
0
139
Brand ReviewA

Project directory path (default current directory)

data-aigobash
0
139
Budget ReviewA

Project directory path (default current directory)

data-aigobash
0
139
Campaign AnalyticsA

Project directory path (default current directory)

data-aigobash
0
139
Campaign KickoffA

Project directory path (default current directory)

data-aibashspring
0
139
Competitive AnalysisA

Project directory path (default current directory)

data-aibashgit
0
139
Content PlanningA

Project directory path (default current directory)

data-aigobash
0
139
Creative BriefA

Project directory path (default current directory)

data-aibash
0
139