Results for “json-decoding”

Working effectively with JSON data structures.

jq - JSON Querying and Transformation

Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.

Provides guidance on new System.Text.Json APIs introduced in .NET 11, including typed JsonTypeInfo access and PascalCase naming policy.

Centralized JSON validation for AGENT_SUCCESS_CRITERIA with defensive parsing and injection attack prevention (CVSS 8.2)

Process JSON data from files or standard input using jq filters for extraction, filtering, and transformation.

Apply a jq-style filter to transform a JSON payload

LEMON v2.0 — The Degen Fader. Identifies historically reckless traders (DEGEN activity + CHOPPY consistency) on Hyperliquid, monitors their live positions, and counter-trades them when they're bleeding at high leverage. If a cluster of degens goes max-leverage long on a coin and starts losing, LEMON shorts it — betting on their inevitable liquidation cascade. DSL exit managed by plugin runtime via runtime.yaml.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Reviews parsers, deserialization, uploads, archives, YAML/JSON/XML/pickle, paths, templates, SSRF, and unsafe loaders.

Score raw leads as HOT/WARM/COOL based on config-driven weights from agency.config.json

Command-line JSON processor. Extract, filter, transform JSON.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections for visual canvases, mind maps, and flowcharts.

Deobfuscates malicious JavaScript code used in web-based attacks, phishing pages, and dropper scripts by reversing encoding layers, eval chains, string manipulation, and control flow obfuscation to reveal the original malicious logic.

JNDI injection playbook. Use when Java applications perform JNDI lookups with attacker-controlled names, especially via Log4j2, Spring, or any code path reaching InitialContext.lookup().