@aptratcn

xiaobai-error-recovery implements a 4r framework (recognize, rescue, report, remember) for detecting and recovering from errors with automatic retry logic, human reporting, and error logging to prevent silent failures.

xiaobai-systematic-debugging enforces a 4-phase root cause methodology (observe, isolate, hypothesize, verify) with explicit checklists and anti-patterns. avoids guessing by requiring evidence gathering and hypothesis documentation before fixes.

xiaobai-workflow-enforcer mandates design-before-code, test-before-implement, and verify-before-claim gates for ai agents. five ordered workflows with checkpoints prevent chaotic outputs and force evidence-based claims.

xiaobai-evr-framework enforces a three-phase protocol (execute, verify, report) to catch silent task failures and fake completions. triggers on skepticism signals and completion claims, provides verification commands by task type, and requires evidence-backed reporting instead of assertions.

skill-error-recovery implements a 4r framework (recognize, rescue, report, remember) to catch failures, attempt automated recovery with bounded retries, report outcomes clearly, and log patterns for future prevention.

error-recovery-xiaobai implements a four-step (record, reason, recover, report) framework for structured tool failure diagnosis and recovery. covers timeout, auth, rate-limit, and file-not-found scenarios with branching recovery strategies and a three-attempt retry ceiling.

xiaobai-trend-harvester aggregates signals from hacker news, reddit, github, and youtube to identify emerging trends across developer and user communities, outputting structured findings with action items.

aptratcn-prompt-guard detects injection attacks via pattern matching, context analysis, and behavioral review. provides detection framework with three escalating levels and response protocols for uncertain or confirmed injection scenarios.

xiaobai-activation-booster provides a framework for diagnosing and fixing low skill activation rates in ai agents through trigger optimization, description refinement, and testing. covers root causes, checklists, and templates but lacks actionable procedures.

xiaobai-skill-quality-eval describes a framework for evaluating skills on 6 dimensions but fails to demonstrate the evaluation process on itself. the skill lacks concrete procedures, decision logic, and verifiable outputs needed for actual use.

Workflow Checkpoint System - Save and recover from any point in multi-step AI workflows. Never lose progress mid-task.

Self-Improvement Engine - AI Agent that learns from mistakes and continuously improves. No more repeating the same errors.

Deep Research Suite - One command to aggregate, analyze, and synthesize research from multiple sources. Search → Extract → Summarize → Report.

Execute-Verify-Report 三步法工具 — 强制AI遵循"执行→验证→报告"流程，杜绝"说做了其实没做"、"完成了但不验证"等问题。基于STANDING-ORDERS核心原则设计。

记忆卫士 — 防止AI Agent记忆断层的安全网。每次session启动时自动扫描所有记忆文件，检测遗漏、验证连续性、生成健康报告。基于真实记忆断层事件设计。

Deep Research Suite - One command to aggregate, analyze, and synthesize research from multiple sources. Search → Extract → Summarize → Report.

Cognitive Debt Guard - Prevent the 23.5% incident spike from AI-generated code. Comprehension gates, review frameworks, and AI-free zones. Based on 2026 rese...

Automatically manages and compresses context to optimize token usage by summarizing, selectively loading, and budgeting for tool schemas, history, and tasks.

Automatically save, restore, and switch project session contexts to retain tasks, decisions, file states, blockers, and environment details across work sessi...

Automated audits that score and report on skill health by checking structure, content, activity, compatibility, and discoverability to prevent failures.

Cognitive Debt Guard - Prevent the 23.5% incident spike from AI-generated code. Comprehension gates, review frameworks, and AI-free zones. Based on 2026 rese...

Perform a security audit of MCP servers to detect data exfiltration, command injection, permission escalation, and supply chain vulnerabilities before use.