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    AI Agent Self-Improvement Memory Auditor

    AI Agent Self-Improvement Memory Auditor

    by Shandra AI

    Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.

    Updated May 2026
    Security scanned
    One-time purchase
    Compatible with ChatGPT Custom GPTs

    $50

    · or 250 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Convert user 'from now on' corrections into durable instruction patches.
    • Generate regression test suites to ensure agents don't repeat old mistakes.
    • file_write, file_read, browser automation included
    • Ready for Compatible with ChatGPT Custom GPTs
    • Instant install

    Sample Output

    A real example of what this skill produces.

    === AI AGENT FAILURE AUDIT ===

    Failure summary: An Agensi SKILL.md submission was rejected because it lacked YAML frontmatter and contained wording that triggered unsafe environment access concerns.

    Original request: Create a SKILL.md ZIP file for Agensi.

    Expected behavior: The ZIP should contain a valid SKILL.md file with required YAML frontmatter and safe permission wording.

    Actual behavior: The file missed YAML frontmatter and included platform-sensitive wording.

    Feedback/correction: The marketplace security review rejected the skill and requested proper frontmatter plus safer permission and security language.

    Severity: Critical

    Failure category:

    • Marketplace rejection failure
    • Format failure
    • Safety or compliance failure

    Root cause: The agent created the skill content but did not run an Agensi-specific preflight validation checklist before packaging the ZIP.

    Durable lesson: For every Agensi SKILL.md ZIP submission, the agent must include YAML frontmatter and run a safety wording check before packaging.

    New operating rule: Rule name: Agensi SKILL.md Safe Packaging Rule

    Trigger: Whenever creating or revising a SKILL.md ZIP for Agensi.

    Required behavior: Include YAML frontmatter with name, description, and tags. Use safe default permissions. Avoid wording that implies direct secret-value access, open-ended network use, unsafe command execution, or autonomous high-risk actions unless explicitly required and safely documented.

    Forbidden behavior: Do not package a SKILL.md ZIP without frontmatter. Do not include risky permission language by default.

    Rationale: Agensi security review may reject skills with missing metadata or unsafe patterns.

    Anti-pattern: Platform-Blind Packaging

    What it looks like: The skill body is detailed, but marketplace-specific metadata and security requirements are missing.

    Why it fails: The marketplace rejects the submission even if the content is useful.

    Replace with: Create the content and run platform-specific validation before packaging.

    Regression test: Test name: Agensi Safe ZIP Validation

    Test prompt: Create a DevOps SKILL.md ZIP for Agensi.

    Expected behavior: The agent includes YAML frontmatter, safe permissions, no direct secret-value access, no open-ended network requirement, and exactly one SKILL.md file in the ZIP.

    Failure condition: Missing frontmatter or unsafe permission wording.

    Pass criteria: ZIP contains SKILL.md with valid frontmatter and safe permission model.

    Instruction patch: Add under packaging rules: Before delivering any Agensi ZIP, verify that SKILL.md includes YAML frontmatter with name, description, and tags, and that permissions are minimal and justified.

    Memory candidate: Yes

    Memory recommendation: Store the generalized rule that future Agensi SKILL.md ZIP files should include YAML frontmatter and safe permission guidance by default.

    Conflict check: No conflict. This strengthens platform compliance.

    Verification plan: Recreate the rejected ZIP and resubmit after validating frontmatter and safety wording.

    Final recommendation: Add this rule to the creator’s general Agensi skill-building workflow and run it before every future ZIP delivery.

    About This Skill

    AI Agent Self-Improvement Memory Auditor helps AI-agent builders, workflow designers, founders, prompt engineers, automation consultants, and product teams turn failures into systematic improvements. It analyzes bad outputs, user corrections, rejected submissions, failed workflows, marketplace feedback, repeated mistakes, and agent quality issues, then creates root-cause audits, durable operating rules, anti-pattern libraries, regression tests, memory candidate reviews, instruction patches, quality gates, learning logs, and updated SKILL.md sections. The skill is ideal for improving Custom GPTs, ChatGPT Agents, Cursor rules, Claude Code instructions, Codex CLI workflows, agent marketplaces, prompt systems, and internal AI products that need to become more consistent over time.

    Use Cases

    • Convert user 'from now on' corrections into durable instruction patches.
    • Generate regression test suites to ensure agents don't repeat old mistakes.
    • Audit rejected marketplace skills to fix formatting and security flags.
    • Build an anti-pattern library to prevent common agent hallucinations.
    • Review agent memory candidates to filter out sensitive or one-off data.

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    Security Scanned

    Passed automated security review

    Permissions

    Write Files
    Read Files
    Browser

    File Scopes

    *.md
    *.txt
    *.json
    *.yaml
    *.yml
    *.docx
    *.pdf
    README.md
    skills/**
    prompts/**
    agents/**
    instructions/**
    rules/**
    memory/**
    evals/**
    tests/**
    feedback/**
    failures/**
    reviews/**
    rejections/**
    logs/**
    docs/**

    This skill uses file access to read user-provided agent failures, bad outputs, correction notes, prompt drafts, rejected skill files, marketplace feedback, QA reports, support tickets, logs, and previous instruction versions. It uses write access to create structured Markdown/text outputs such as failure audits, durable operating rules, anti-pattern libraries, regression tests, memory candidate reviews, instruction patches, quality gates, learning logs, updated SKILL.md sections, and SKILL.md files. Browser access is optional and should only be used for public documentation or best-practice research when explicitly requested. The default safe setup does not require network access, shell access, or environment variable access.

    Compatible with ChatGPT Custom GPTs, ChatGPT Agents, Claude-style workflows, Cursor, Claude Code, Codex CLI, OpenCode, Replit, Agensi-style skill marketplaces, PromptBase-style agents, internal AI governance workflows, and other AI systems that support structured Markdown instruction files such as SKILL.md. It can also be used manually in any AI chat by pasting the instructions.

    Creator

    Shandra is an AI prompt creator and agent skill builder specializing in practical, ready-to-use AI workflows for creators, entrepreneurs, educators, and digital product sellers. Her store focuses on high-quality agent skills designed to help users save time, structure ideas, generate content, build business assets, and turn creative concepts into actionable results. Each skill is crafted with clear instructions, professional formatting, practical use cases, and a strong focus on real-world productivity.

    Frequently Asked Questions

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