Jamf Script Safety Reviewer
by LB Creations
Review Jamf and Kandji scripts for safer user context, prompts, logging, and rollout readiness.
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THE AGENSI STORE
99 skills found
by LB Creations
Review Jamf and Kandji scripts for safer user context, prompts, logging, and rollout readiness.
by Timoranjes
Audit SQL and ORM queries for security vulnerabilities, N+1 performance issues, and indexing anti-patterns.
by Timoranjes
Scan multi-language codebases for unused variables, orphaned functions, and unreachable code with severity ranking.
by Timoranjes
Expert IaC auditing for Terraform and OpenTofu to catch security holes, cost leaks, and state management risks.
PR open but not merging? Find the #1 reason reviewers are stalling and get one ready-to-paste fix to unblock it.
by Roy Yuen
Structured, severity-aware code reviews focusing on security, bugs, and performance across all major languages.
Catch the dangerous migration before it locks or wrecks your production database. Scans SQL migration files for destructive and risky operations: DROP and TRUNCATE, drops without IF EXISTS, lossy column-type changes, NOT NULL added without a default, DELETE or UPDATE with no WHERE, non-concurrent index builds, dropped constraints, renames, and data backfills mixed into schema changes. Each finding is ranked by severity with a safer rewrite. Postgres, MySQL, and SQLite.
by Shandra
Plans safe dependency upgrades and framework migrations for legacy applications with risk analysis, compatibility mapping, test planning, rollback strategy, and phased AI coding prompts.
Write and review the docs AI agents actually read — AGENTS.md for your repo and llms.txt for your site. Drafts them from scratch or audits existing ones for completeness, clarity, and wasted context, with a PASS or REVISE verdict.
by Boubacar B
Claude defaults to complex. This skill does not let that happen. Before your session ships a 400-line solution to a 20-line problem, the simplicity filter stops it and asks: does this actually need to be this complex?
by John Barros
Orchestrate human-supervised code migrations across repository fleets with verifier loops and judge review gates.
by John Barros
Verify AI-generated code for scope drift, false completions, and missing tests.
Run this on your plan, spec, or prompt before any work starts. It surfaces the decisions you never made, names what an agent would silently assume for each, ranks them by the cost of a wrong guess, and hands back a short list of choices to make now — plus the gaps that are safe to leave open.
Lint an exported n8n workflow before it ships: catches broken or duplicated nodes, missing error handlers, credential stubs, unhandled retries, unsafe webhooks, brittle expressions, and missing idempotency. A read-only pass over your workflow JSON that ranks production-readiness gaps with evidence and concrete fixes.
An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.
Stuck with a “wip” or “fix stuff” commit? Get one clean, ready-to-paste rewrite. Bad commit message you already wrote — “wip”, “fix stuff”, a vague subject a reviewer flagged? Find the #1 reason it fails and get a finished rewrite: clean subject, a why-body only when it’s needed.
Systematically refactor large codebases, eliminate circular dependencies, and define clean module boundaries.
An adversarial reviewer for AI-written code changes. It pressure-tests a pull request or diff for untested branches, silent behavior changes, missing edge cases, over-confident code that only looks right, and weak tests, then returns a PASS / REVISE / BLOCK verdict before the change merges.
Audit your frontend for accessibility violations before release — flags WCAG failures, gives prioritized fixes, and blocks the broken patterns that get sites sued.
Find the LLM integration code that breaks when a model blocks a response or falls back to a different model. Flags calls with no try/except or refusal branch, responses used or parsed with no guard for a blocked or empty answer, and hardcoded model ids with no fallback handling. Built for the Fable 5 era, where a high-risk call is blocked and silently falls back to Opus 4.8.
A professional-grade toolkit for SAST code reviews, PII scanning, and automated compliance gap analysis.
Catch the Open Graph and Twitter Card problems that make a shared link preview blank or broken. Flags missing og:title, og:image, og:description, og:url, or twitter:card, a relative og:image URL (crawlers need an absolute one), an SVG og:image (no platform renders it), and image dimensions that miss the 1200x630 standard. Reads your HTML or pasted head markup; it does not fetch the page or refresh a platform's cache.
Audit a JavaScript or TypeScript frontend for missing translations and hardcoded UI strings before you ship a new locale. Flags hardcoded JSX text and UI props (title, placeholder, aria-label, label, alt) not wrapped in t(), i18n.t(), or <Trans>; keys present in the default locale but missing from other locale files; keys referenced in code but absent from the locales (the raw dotted keys that leak to users); unused locale keys; and unparseable locale JSON.
Reviewer left comments and your PR is stuck? Find the #1 blocking comment and get a finished reply — acknowledge, the fix, what to test — written to move the reviewer to approve.