LLM Mart Basic
@llm-mart · Joined Jun 2026
Statically review Vue Router navigation guards, redirect flows, and template bindings for client-side guards used as the sole authorization boundary, open redirects via route.query.redirect/returnUrl, javascript:/data: scheme injection through dynamic :to/:href bindings, route pa
Statically review Vue 3 SSR entry points and templates for cross-request state pollution (module-scope reactive state, non-per-request app/store creation) and injection via unsanitized v-html or unvalidated dynamic href/src bindings, grounded in Vue's own SSR and security-best-pr
Statically review Pinia and legacy Vuex state stores for sensitive data persisted to localStorage/sessionStorage without scoping, untrusted server-payload hydration (window.__pinia/__INITIAL_STATE__) with un-escaped state serialization, SSR store-singleton cross-request pollution
Audit frontend markup, components, and design-system primitives against WCAG 2.2 Level A/AA success criteria and ARIA APG interaction patterns, separating automated-detectable violations from manual-verification-required items and flagging legal exposure, with reference material
Design and build AI-powered applications on AlloyDB for PostgreSQL using AlloyDB AI — covering vector search, hybrid search (vector + full-text), AI SQL functions (ai_generate, ai_classify, ai_score, ai_embed), model endpoint management, and the AlloyDB Omni edge runtime. Prefer
Operate AlloyDB clusters and Cloud SQL instances — HA configuration, read replicas, connection pooling, maintenance windows, backup strategy, and performance diagnostics.
Design and operate Anthos / GKE Enterprise fleet management, Config Management (GitOps with Policy Controller), multi-cloud Kubernetes across GCP, AWS, and Azure.
Design and operate Apigee X API proxies — rate limiting, OAuth/JWT security policies, quota plans, developer portal setup, and API product management.
Analyze BigQuery slot reservation sizing, BI Engine acceleration, query cost estimation, dataset governance (expiration, access controls), and partitioning/clustering optimization to reduce on-demand scan costs.
Review GCP Certificate Manager and classic Google-managed TLS certificates — certificate map configuration, DNS authorization, CAA record validation, certificate rotation automation, wildcard vs SAN design, and expiry monitoring.
Pre-change blast radius analysis for GCP — cross-project resource dependency mapping, org policy cascade effects, Shared VPC peering impact, Service Account impersonation chain analysis, and safe change sequencing.
Advise on Google Cloud authentication and authorization patterns — covering Application Default Credentials (ADC), service account best practices, Workload Identity Federation (for GKE pods and external workloads), human user auth (gcloud, IAP, Identity Platform), service-to-serv
Deploy and operate Cloud Run services, Cloud Functions gen2, Eventarc triggers, traffic splitting for progressive delivery, and cold-start optimization strategies.
Build and operate CI/CD pipelines using Cloud Build, Cloud Deploy delivery pipelines, Artifact Registry, SLSA provenance generation, and release gating with approval workflows.
Configure Assured Workloads for regulated workloads (FedRAMP High/Moderate, HIPAA, PCI-DSS, ITAR, IL4/IL5), audit controls implementation, and gather compliance evidence using Security Command Center and Asset Inventory.
Operate GCE instances, manage Managed Instance Groups (MIGs), configure OS patch management via VM Manager, design preemptible/spot VM strategies, and manage startup/shutdown scripts.
Convert an arXiv paper to Markdown for reading or implementation reference. Use when asked to convert, fetch, or create documentation for an arXiv paper by its ID, or when a paper with a known arXiv ID needs to be read or referenced. Fetches the LaTeX source when available (plus
Look up arXiv paper metadata via the arXiv API. Use when you need to get a journal DOI from an arXiv ID (for OpenAlex integration), or find an arXiv ID from a title/keyword search (for arxiv-doc-builder). Requires the `arxiv` Python package.
Perform triangulated cognitive research combining SQLite memory, GitHub 10k+ stars patterns, and ToT DAG benchmarking before critical architectural decisions. Automatically triggers subagent research escalation when confidence is low (<0.70). Keywords: research, benchmark, github
Core Kilo-Kit skill enforcing Hard-Gate and Iron Law principles. Ensures AI agents scan the system and codebase before proposing solutions. Keywords: hard-gate, iron-law, evidence, scan, verify, system-check, codebase
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/sonar
sonar
SonarQube 정적분석 실행 및 결과 조회. 코드 품질·보안 핫스팟·커버리지 확인 시 사용.
/fix-issue
fix-issue
GitHub 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→PR)을 사람 개입 없이 자동 실행.
/fix-issue
fix-issue
GitLab 이슈 #$ARGUMENTS 를 처리한다(이슈 우선 워크플로):
/sdlc-cycle
sdlc-cycle
이슈/기획서 기준 SDLC 한 사이클(이슈→개발→테스트→검증→MR)을 사람 개입 없이 자동 실행.
/README
README
Invoke a repeated task with `/name`. File name = command name (`fix-issue.md` → `/fix-issue`).
/fix-issue
fix-issue
Handle issue #$ARGUMENTS (issue-first workflow):
/knowledge-graph
Knowledge graph
Renders the connection structure of the AGENTS.md ecosystem
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR/MR) based on an issue or spec, without human intervention.
/sonar
sonar
Run SonarQube static analysis and check the results. Use to check code quality, security hotspots, or coverage.
/fix-issue
fix-issue
Handle GitHub issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → PR) based on an issue or spec, without human intervention.
/fix-issue
fix-issue
Handle GitLab issue #$ARGUMENTS (issue-first workflow):
/sdlc-cycle
sdlc-cycle
Automatically runs one SDLC cycle (issue → development → testing → verification → MR) based on an issue or spec, without human intervention.
/plan-status
Plan status
Show Hermes planning-with-files status for the current project.
/plan
Plan
Start Hermes planning-with-files workflow in the current project.
/plan-ar
Plan ar
بدء تخطيط الملفات بنمط Manus. إنشاء task_plan.md و findings.md و progress.md للمهام المعقدة.
/plan-attest
Plan attest
Lock the current task_plan.md content with a SHA-256 attestation. Hooks then refuse to inject plan content if the file diverges from the attested hash, blocking silent tampering. Use --show to print the stored hash, --clear to remove the attestation. Available since v2.37.0.
/plan-de
Plan de
Starte Manus-artige Dateiplanung. Erstelle task_plan.md, findings.md, progress.md für komplexe Aufgaben.
/plan-doctor
Plan doctor
Self-check for the planning-with-files mechanisms that fail silently: plan resolution, hook injection, canonicalizer path shape, attestation state, install surfaces, and per-fire hook latency. Run it whenever hooks seem quiet or after installing on a new machine. Available since v3.6.0.
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