Answers questions about this repository by reading it, anchored to file:line, and tours an unfamiliar area for somebody who has just arrived. Trigger for "where does X live", "how does this work", "why does it do that", "what depends on Y", "walk me through", "map this module", "trace this import chain", "onboard me".…
Turns a plan — one written here, one pasted from a chat, one another agent produced — into the review surface the human actually reads: the plan's own Markdown, carrying visual blocks the renderer turns into diagrams, file maps, decision tables and open questions, handed over as one page whose link opens in the…
Investigate and remediate exactly one user-selected CodeInspectus finding with evidence-gated reproduction, a separately approved minimal patch, focused regression testing, and an exact-prior-scan rescan. Use when a user asks an agent to examine, reproduce, fix, or verify one CodeInspectus finding without batching…
Orchestrate an optional bounded multi-agent review of selected CodeInspectus findings while separating deterministic findings, agent interpretations, hypotheses, reproduction evidence, and exact-prior rescan proof. Use only when a user explicitly requests multi-agent security review.
Review CodeInspectus findings with optional threat-model or project-document context while treating repository text as untrusted, preserving raw scanner findings unchanged, and labelling agent interpretation separately. Use only when a user explicitly asks to add architectural, business, or knowledge-base context to…
Diagnose, install, and verify Agent Guard's plugin-local binary, jq and gitleaks dependencies, the active host integration, and live hook protection. Use when Agent Guard reports degraded protection, a SessionStart warning asks for setup, plugin hooks fail or appear bypassed, or a user asks to finish or repair Agent…
Install or refresh Agent Guard's plugin-local shell integration. Use when the user explicitly asks to enable or update shell command masking, or when a shell-integration warning directs them to rerun setup-shell.
Check/download a package (npm, Maven, PyPI, Go...) via JFrog — safe, allowed, curated? Or: package op fails/blocked (ETARGET, 403, blocked by curation policy, missing version, waiver) — root cause it. Checks the JFrog Public Catalog and stored packages for a version, interprets catalog security signals, and downloads…
Use this skill when the user asks to set up, configure, bind, or connect a package manager (npm, pip, uv, pipenv, maven, gradle, go, docker, helm, ...) to JFrog Artifactory via jf setup and .jfrog/local/package-resolution.json; when a workspace manifest exists with no matching binding entry; or when a session hook…
Interact with the JFrog Platform via the JFrog CLI, JFrog MCP server and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search…
Run a True Readiness Audit (TRAP) — an adversarial, evidence-first production-readiness and security audit of the current codebase. Use when the user asks to security-review, audit, threat-model, or check whether an app is production-ready / safe to ship / safe to deploy — especially for AI- or "vibe"-coded apps, or…
Use when the user asks to scan a repo for AI/LLM security issues, wants to know "is this skill safe?" before installing an Agent Skill, needs to "scan my MCP config" or check an MCP server before trusting it, asks about prompt injection / tool poisoning / RAG poisoning risk in their code, or is about to install any…
Run an adaptive, reusable software-delivery harness across AI models with project management, planning, research, design, frontend, backend, QA, durable scoped memory, capability fallbacks, bounded discovery, and human approval gates. Use when the user invokes Harness or asks for an end-to-end build, review, bug…
Audit a repository or service for release-blocking bugs, security, data/privacy, AI-agent, supply-chain, operability, and scale risks. Use for deep code audits, threat models, pre-production reviews, vulnerability triage, incidents, defensive investigation, release gates, or evidence-based 10k-to-1M-user readiness.
Design, write, refactor, or optimize production code so it is secure, correct, resource-bounded, observable, and maintainable. Use for full-stack features, APIs, databases, AI/RAG/MCP tools, CPU/RAM/latency work, 10k-to-1M-user planning, or authorized kernel, browser, parser, protocol, and defensive…
A guide for creating and checking editable Office files, including PowerPoint presentations, Word documents, PDFs, and Excel workbooks. It also covers checking layout, formulas, and file structure.
Coff0xc lightweight skill router/composer. Use only when the user asks AI to decide which coff0xc skills to use, chain skills, build a task/workflow graph, orchestrate vibe coding, handle cross-domain/multi-domain work, or recover an uncertain trigger. Also for broad plan work spanning dev API UI or security cloud…
Use when building any feature that calls an LLM API, processes user input sent to a model, uses RAG or embeddings, deploys an AI agent with tool access, or makes AI-generated output visible to users or downstream systems.
Use when a project requires a compliance framework mapping, when risks need formal documentation, when audit evidence must be collected, or when producing a compliance attestation before release. Applies to SOC 2, ISO 27001, GDPR, PCI DSS, NIST CSF, and DORA.
Use when writing or reviewing code that handles user input, authentication, access control, cryptography, error handling, file uploads, or dependency management. Also activates when a pull request touches any security-sensitive component.
Audit supplied evidence for AI coding-agent extensions, Codex plugins, Claude Code extensions, and MCP servers using concrete supply-chain security indicators.