Deployment Failure Forensics
by Shandra
Professional DevOps diagnostics for AI agents to solve failed deployments, Docker crashes, and CI/CD pipeline errors.
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THE AGENSI STORE
976 skills found
by Shandra
Professional DevOps diagnostics for AI agents to solve failed deployments, Docker crashes, and CI/CD pipeline errors.
by LocoLoboZ
A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.
by Shogun Labs
Keep Node.js and Python services running forever with PM2 — startup, health checks, troubleshooting.
by LocoLoboZ
Draft, update, and convert professional Functional Requirements Specifications (FRS) for procurement and GRC.
Autonomous loop that iteratively modifies, evaluates, and selects the best version of any text resource — skills, prompts, or campaigns — using a modify-measure-keep/discard cycle.
Continuously monitor data pipelines, detect anomalies, and explain root causes before failures impact production.
A reusable rubric that grades every source by type, recency, authority, independence, and corroboration, then ranks them and resolves conflicts by evidence weight.
by LB Creations
Review Jamf and Kandji scripts for safer user context, prompts, logging, and rollout readiness.
by LocoLoboZ
Design, facilitate, and document professional security incident response tabletop exercises and after-action reports.
Lint your AGENTS.md (or CLAUDE.md and .cursorrules) for the problems that make a coding agent misbehave. Flags contradictory rules, references to files and commands that no longer exist, overly broad or unsafe instructions, missing sections (build, test, run, conventions), duplicate rules, and the case where you have competing rule files that should be consolidated into one AGENTS.md.
by LocoLoboZ
Professional-grade orchestration for ransomware triage, containment, recovery planning, and executive reporting.
by LocoLoboZ
Professional network forensics and packet analysis for incident response and security investigations.
by LocoLoboZ
Professional security incident triage for SOC teams to classify alerts, assess severity, and draft response plans.
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
Lint a prompt template for the issues that cause injection and flaky output. Flags untrusted variables interpolated straight into the instructions (the injection surface), placeholders that are never provided or never used, contradictory instructions, a missing output-format spec where the result is parsed, unbounded context interpolation, and leftover placeholders. It detects problems; it does not write prompts.
by LocoLoboZ
Transform raw incident logs and evidence into professional, tool-agnostic IR dashboards and executive reporting packs.
by LocoLoboZ
Transform raw security evidence into professional Cyber Healthcheck reports, RAG scorecards, and remediation roadmaps.
Systematic audit for AI prompts to detect security flaws, bias, and cost-inefficiencies with auto-optimization.
Drastically reduce RAG costs and latency while improving retrieval accuracy through advanced memory architecture.
Audit your Supabase project for the row-level-security mistakes that quietly expose data: tables without RLS, policies that resolve to true, leaked service-role keys, missing auth.uid() checks, open storage buckets, overbroad grants, and migration drift. A local, read-only scan plus a full review checklist, each finding with severity, evidence, and a fix. No database changes without confirmation.
Protect sensitive data before it reaches an AI model and automatically restore it in the final response.
by LocoLoboZ
Professional-grade security assessment framework for IoT, OT, and connected device ecosystems.
by LocoLoboZ
Professional drafting and review of cyber security risk reports, mapping evidence to compliance frameworks.
Scan a SKILL.md package for prompt injection and secret exfiltration before you install or publish an agent skill. Flags env-variable-to-URL exfiltration wording, conditional triggers with hidden side effects, imperative instructions buried in HTML comments, zero-width characters, base64 and long-token blobs, remote content treated as instructions, pipe-to-shell and recursive force-delete references, and overbroad tool requests (network plus browser plus file-write with no scope).