Privacy-Safe Mindtickle Support Bundle

SkillDev tools

Assemble a privacy-safe Mindtickle support evidence bundle with configuration fingerprints, timelines, representative failures, and ownership context. Use when preparing a vendor escalation. Trigger with "build Mindtickle debug bundle".

Use Privacy-Safe Mindtickle Support Bundle in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the Privacy-Safe Mindtickle Support Bundle skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Privacy-Safe Mindtickle Support BundleStart free

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/mindtickle-debug-bundle/SKILL.md and read by Ahel’s review.

Overview

Create a deterministic evidence manifest that helps customer and Mindtickle support diagnose a problem without exporting secrets or unnecessary learner data.

Prerequisites

  • A tracked incident, disclosure audience, retention deadline, and support severity
  • An approved redaction policy and secure transfer destination
  • Read-only access to relevant customer-side configuration, logs, and receipts

Tool Discipline

Use Read, Glob, and Grep to locate evidence, WebFetch to confirm current support requirements, and Write or Edit only inside the approved bundle path and manifest.

Current Contract

Mindtickle Support may request business context, logs, files, and appropriate remote access. Official support guidance defines severity and response paths; the customer remains responsible for minimizing and sanitizing what is disclosed.

Authentication

Do not collect passwords, tokens, cookies, authorization headers, private keys, raw identity-provider assertions, or unrestricted tenant exports. Replace user identifiers with stable incident-local aliases where individual evidence is necessary.

Instructions

  1. Define the incident window, symptom, affected workflow, audience, severity, and questions the bundle must answer.
  2. Create an evidence allowlist and explicit denylist before reading files.
  3. Collect configuration names and digests, adapter version, contract digest, deployment receipt, timestamps, safe request IDs, and representative sanitized errors.
  4. Add expected-versus-actual behavior, one known-good comparison, reproduction limits, recent changes, and attempted mitigations.
  5. Scan every artifact for secrets, cookies, personal data, assessment data, content URLs, and internal infrastructure details.
  6. Produce a manifest with artifact digests, provenance, redactions, collector, collection time, and expiry.
  7. Obtain disclosure approval, transfer through the contracted secure channel, and record the support receipt.

Approval Boundaries

Do not run new production probes, grant remote access, include raw tenant exports, or send the bundle before security and data-owner approval.

Output

Return the sanitized bundle path, manifest, digest list, redaction report, reproduction summary, severity rationale, disclosure approval, transfer receipt, and destruction date.

Error Handling

ConditionResponse
Secret scanning finds a credentialRemove it, rotate if exposure occurred, and regenerate the manifest.
Evidence exceeds the approved scopeExclude it and state the unanswered question.
Secure transfer is unavailableRetain the encrypted bundle under policy and do not use consumer sharing links.

Example

incident=INC-1042; artifacts=8; pii=aliased; secrets=0; manifest-sha256=...; approval=security-and-data-owner; expiry=30d

Resources

Next Steps

Track vendor questions and delete the bundle at expiry after retaining only the permitted incident receipt.

Signals

GitHub stars
3k
Forks
415
Last commit
Oct 2026
Advanced
Item type
skill
Key
mindtickle-debug-bundle
Source
github.com/jeremylongshore/tons-of-skills-marketplace