tech debt scanner 8988
Audit codebases for structural debt, TODOs, and dependency rot to generate prioritized remediation reports.
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THE AGENSI STORE
167 skills found
Audit codebases for structural debt, TODOs, and dependency rot to generate prioritized remediation reports.
An adversarial editing gate that scans any AI-assisted draft and flags the exact tells that make it sound machine-written — filler phrases, formulaic structure, robotic cadence, punctuation tics — returning a structured PASS/REVISE/FAIL verdict with specific fixes.
Catch typos, homophones, and near-miss misspellings across code, docs, and markdown, in a commit, your staged changes, a file, or a whole directory. Layers dictionary, phonetic (Soundex), and edit-distance checks with context-aware homonym rules to flag the their/there and its/it's a basic spellcheck sails right past.
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.
by Timoranjes
Scan multi-language codebases for unused variables, orphaned functions, and unreachable code with severity ranking.
Find the unit tests that pass without testing anything. Flags tests with no assertions, trivial existence-only checks (toBeDefined, assertIsNotNone), tests that assert the exact value they just mocked, snapshot-only tests, tautological assertions (expect(true).toBe(true)), empty placeholders, and over-mocked tests with more setup than assertions. Works on Jest/Vitest and pytest/unittest.
An adversarial senior engineer review gate that audits AI-written code for security gaps and logic errors before shipping.
Continuously monitor data pipelines, detect anomalies, and explain root causes before failures impact production.
A senior-level code reviewer that uses Socratic questioning to identify architectural flaws and teach better patterns.
An adversarial reviewer for landing pages and conversion copy. It flags an unclear value proposition, a weak or buried call to action, missing social proof, funnel friction, and unsupported claims, then returns a PUBLISH / REVISE / HOLD verdict — before the page goes live.
Audit your dbt project for the test and documentation gaps that let bad data ship. Flags models with no unique or not_null tests, sources missing freshness config or tests, likely keys without a not_null test, models missing descriptions, SELECT * in models, and raw table references that should use ref() or source(). Each finding comes with a suggested tests: YAML snippet to drop into schema.yml.
by Matthew King
Most quality strategies are generic templates nobody follows. This one is built from your actual repo
Map supply chains, identify overlooked upstream chokepoints, score candidate quality, audit evidence, and generate research reports.
A pre-publish audit gate to extract claims, verify facts, and flag compliance risks in public-facing content.
Apply Clean Code and Clean Architecture standards to automate refactoring, reviews, and dependency management.
by Lily Studio
Paste your Python code and get a plain-English test report — what works, what doesn't, what's unfinished, and exactly what to do next.
Runs an ordered evidence-integrity gate over any AI draft — grade sources, ground claims, verify technical assertions, stress-test — then returns one PASS/REVISE/FAIL ship decision.
Establish and refine surgical CI quality gates and automated verification loops for any repository.
Generate a personalized before-you-ship checklist for your app, with the things you already have checked off. Pick your app type (web app, SaaS, store, or content) and it builds a tailored list covering security, legal basics (privacy policy, terms, cookie consent), social preview, payments and refunds, accessibility, analytics, and backups, then scans your repo and pre-checks what is already there. Every item says why it matters in plain English.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
An adversarial gate that audits any chart, data summary, or statistic for misleading visuals and unsound inference, then returns one PASS/REVISE/FAIL verdict.
You changed the prompt, tried four inputs, it looked better, you shipped — and three days later support tickets say outputs are worse for an entire class of inputs you didn't test
An adversarial security gate that audits untrusted content — web pages, tool outputs, documents, emails — for embedded instructions, exfiltration, and authority spoofing, then returns a SAFE/REVIEW/BLOCK verdict.
by Joker
Video type matrix, platform specs, AI prompt recipes (Seedance/Sora/Kling), zero-cost SOP, quality gates.