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adobe-debug-bundle

Assemble a minimal, reproducible Adobe diagnostic bundle with default-deny collection and verifiable redaction. Use for engineering or Adobe support escalation

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-debug-bundle

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of adobe-debug-bundle

adobe-debug-bundle scores 83/100 on our quality scale, 186th of 252 Customer Support skills we index.

Its SKILL.md is 4.1 KB long, well organised into 13 sections and no code examples: a solid amount of guidance for an agent.

With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so adobe-debug-bundle is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

adobe-debug-bundle compared with similar skills

All 4 of these similar skills score higher than adobe-debug-bundle; compare them before choosing.

SkillScoreStarsUpdatedFormat
adobe-debug-bundle (this skill)by jeremylongshore832.8k5d agoSKILL.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
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designby nextlevelbuilder100130.2k8d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k8d agoSKILL.md

Frequently asked questions

How do I install adobe-debug-bundle?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-debug-bundle. The install tabs above show the steps for each supported agent.
Which AI agents does adobe-debug-bundle work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is adobe-debug-bundle safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is adobe-debug-bundle still maintained?
The repository was last updated 5 days ago, so adobe-debug-bundle is actively maintained.

name: adobe-debug-bundle description: >- Assemble a minimal, reproducible Adobe diagnostic bundle with default-deny collection and verifiable redaction. Use for engineering or Adobe support escalation. Use when the task requires adobe redacted diagnostic bundle. Trigger with "Adobe debug bundle", "collect Adobe diagnostics", or "prepare Adobe support case". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: "<service> <incident-window> <audience>" version: 1.8.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags: [saas, adobe, diagnostics] model: inherit effort: high compatibility: "Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval"

Adobe Redacted Diagnostic Bundle

Overview

Assemble a minimal, reproducible Adobe diagnostic bundle with default-deny collection and verifiable redaction. This workflow produces a reviewable artifact and evidence before any live side effect.

Prerequisites

  • Current first-party Adobe documentation for every selected service, API version, auth flow, limit, and lifecycle.
  • Named product, identity, security, data, budget, release, and operations owners appropriate to the scope.
  • Synthetic or approved non-production fixtures with secret and content canaries.

Current Contract

Useful evidence is version, configuration-key presence, service/operation, environment aliases, timestamps, status/error class, request/job/activation identifiers, retry history, and a synthetic reproduction. Tokens, secrets, signed URLs, prompts, images, documents, event bodies, and customer identifiers are excluded by default. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Use one-way fingerprints only when correlation is necessary. Never call the IMS token endpoint merely to populate a support archive.

Instructions

  1. Define incident window, service, operation, data classification, recipients, retention, and custodian.
  2. Create an allowlist manifest before collection and enumerate explicitly forbidden fields and file classes.
  3. Collect dependency locks, deployment revision, sanitized configuration keys, status/error evidence, and correlation IDs.
  4. Reproduce with a synthetic fixture or read-only check and record expected versus observed behavior.
  5. Run secret, URL, PII, document/image, prompt, and identifier canaries across every output.
  6. Hash the bundle, record redactions and gaps, transfer through an approved channel, and schedule deletion.

Tool Discipline

Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, Adobe content, consent, uploads, generation, spend, deployment, registration changes, replay, cancellation, or deletion.

Approval Boundaries

Incident and data owners approve collection; security approves external disclosure. Any broader trace, content sample, or retention extension requires a fresh explicit approval.

Error Handling

  • Abort if an Authorization header, token, client secret, refresh token, signed URL, or customer content survives.
  • Do not execute speculative network probes against production.
  • Quarantine a bundle whose audience or deletion owner is unknown.

Output

Return a minimal archive, allowlist manifest, hashes, redaction scan, reproduction, custody log, expiry, and deletion owner. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Diagnose a synthetic 429 without credential or content values.
  • Reject a bundle containing a pre-signed asset URL.

Validation

Exercise and record expected and observed results for:

  • secret canary
  • signed URL
  • content canary
  • request ID
  • external transfer
  • expiry deletion

Resources

  • Current first-party evidence map — recheck dated Adobe sources before execution.
  • Treat observed tenant or product behavior as environment-specific evidence, never a universal Adobe guarantee.

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryCustomer
Updated5d ago
Forks404

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions