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THE AGENSI STORE
68 skills found
Flag the destructive operations in a shell command or script before anyone runs it. Catches recursive force deletes, force pushes and history rewrites, database drops and truncates, disk-wipe commands (mkfs, dd to a device), permission blowouts (chmod 777), remote content piped into a shell, broad wildcard deletes, and prod-targeting or disabled-safety flags. Each finding comes with a severity and a safer alternative.
Audit AI-assisted medical and pharma content for compliance-readiness before it enters formal MLR review or journal submission. It checks claim substantiation and on-label scope, reference integrity (the acute AI risk: fabricated or misrepresented citations), fair balance and safety, AI-use disclosure, ICMJE authorship and GPP, COI and funding, data integrity and patient privacy, and adverse-event flags — then returns a PASS / REVISE / BLOCK verdict with the must-fix list. A readiness pre-check built for the regulated reality of medical communications — not a replacement for formal review.
by Timoranjes
Senior-level Python code auditor for PEP 8, type safety, security vulnerabilities, and 3.10+ modernizations.
Check your app for the security mistakes that leak data before you launch, explained in plain English. Flags API keys and secrets sitting in your code, a committed .env file, data with no login protecting it, database tables anyone can read, debug mode left on, wide-open sharing (CORS), hardcoded admin passwords, and public storage buckets. Built for non-technical founders shipping AI-built apps: every finding tells you what is wrong, why it matters, and how to fix it.
by Timoranjes
Professional Go code auditor for performance optimization, concurrency safety, and modern 1.21+ idioms.
by Al1as
Architect designed system degradation and choreographed failure sequences to prevent chaotic breakdowns.
by SkillForge
Prevent flaky Windows automation by enforcing robust UI identity, conditional waits, and safety guards.
by Kaymue
Audit prompts and MCP tools for prompt injection. 47 attack patterns, OWASP LLM Top 10, generates adversarial tests. CVSS-scored.
Analyze creator accounts, content metrics, growth patterns, monetization paths, and platform safety risks.
by Shandra
Audits worksheets and activities for ages 3-6, checking age fit, clarity, difficulty, safety, vocabulary, instructions, visual load, learning objective alignment, confusion risks, and marketplace readiness.
Check your app, site, and ad copy for the AI disclosures US regulators and ad platforms now expect: undisclosed AI chatbots, unlabeled AI-generated media, AI-origin ad copy with no disclosure line, and sponsored content with no material-connection language. Read-only, every finding explained in plain English. US and ad-platform focused.
Turn a one-line job description into a production-ready, guarded, and tested AI agent scaffold.
Audit Agensi skill packages for marketplace readiness, formatting compliance, and safety pre-checks. Grade a skill package before you publish it: SKILL.md frontmatter, credits math, description routing, missing listing sections, and a light command-and-secret safety pre-check, scored 0 to 100 with plain-English fixes.
Before you point a bot or AI agent at X (Twitter), audit it against the platform's rules. Classifies each action as safe, risky, or likely-to-get-you-suspended, names the rule it hits, and rewrites the dangerous parts into a compliant, account-safe version. For keeping your own account safe — not for spam or evasion.
by John Barros
Architect resilient, human-in-the-loop agent workflows with strict stop criteria, budgets, and validation rubrics.
by Timoranjes
Teaches AI coding agents to audit their own CLAUDE.md, cursor rules, and project config files for structural flaws that cause rule non-compliance. Diagnoses WHY agents ignore rules (ambiguity, contrad
by acarchidi
DeFi safety layer for agents providing rug checks, transaction decoding, and contract audits on EVM and Solana.
by PromptWagon
Creates structured safety cases, risk arguments, controls evidence, assumptions, limitations, assurance claims, decision logs, review questions, and sign-off packs for AI-enabled products, systems, workflows, and features. Helps teams turn AI governance expectations into practical documentation rather than abstract policy language.
by Shogun Labs
Automated quality checker that runs before publishing to any social platform or content site
by Timoranjes
Teaches AI coding agents to design safe Prisma schemas that prevent data loss, race conditions, N+1 queries, and the dangerous Prisma migration reset. Covers 12 critical anti-patterns (missing indexes