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adobe-data-handling

Analyze and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-data-handling

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Category

Automation

Supported Platforms

Universal

Our assessment of adobe-data-handling

adobe-data-handling scores 83/100 on our quality scale, 1565th of 2,250 Automation skills we index.

Its SKILL.md is 4.3 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-data-handling 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-data-handling compared with similar skills

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

SkillScoreStarsUpdatedFormat
adobe-data-handling (this skill)by jeremylongshore832.8k5d agoSKILL.md
Agent-Reachby Panniantong10086.1k14d agoCLAUDE.md
rufloby ruvnet10073.5ktodayCLAUDE.md
Scraplingby D4Vinci10084.5ktodayMCP Server
algorithmic-artby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install adobe-data-handling?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-data-handling. The install tabs above show the steps for each supported agent.
Which AI agents does adobe-data-handling 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-data-handling 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-data-handling still maintained?
The repository was last updated 5 days ago, so adobe-data-handling is actively maintained.

name: adobe-data-handling description: >- Analyze and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows. Use when the task requires adobe data custody and privacy review. Trigger with "Adobe data handling", "PDF privacy", or "Firefly content policy". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: "<workflow> <data-classes> <jurisdictions>" version: 1.8.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags: [saas, adobe, data-governance] model: inherit effort: high compatibility: "Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval"

Adobe Data Custody and Privacy Review

Overview

Analyze and enforce classification, minimization, signed-URL custody, retention, deletion, content provenance, and privacy-request boundaries for Adobe workflows. 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

Adobe services have distinct custody contracts. PDF Services can use supported customer-storage signed URLs and can delete Adobe-hosted assets through the Assets endpoint. Firefly inputs/outputs and Content Credentials require product-specific review. Privacy Service is a separate Experience Platform API with its own authorization contract. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Treat tokens and signed URLs as secrets and prompts, images, PDFs, extracted text, event bodies, and identifiers as classified content. Do not send data to a service merely because auth succeeds.

Instructions

  1. Map every input, derived field, prompt, artifact, event, log, storage hop, recipient, jurisdiction, purpose, and owner.
  2. Minimize fields/content and select customer-managed storage or Adobe assets from current service/security evidence.
  3. Set signed-URL scope/expiry, encryption, access, provenance, retention, deletion, and legal-hold controls.
  4. Validate content-policy and Content Credentials behavior from live product outcomes without inventing regex screening guarantees.
  5. Separate ordinary application deletion from regulated Privacy Service requests and identify responsible controllers/processors.
  6. Test redaction, access, expiry, deletion, legal hold, provenance preservation, and incident escalation.

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

Data, privacy, security, and product owners approve processing and destinations. Upload, external transfer, retention change, Privacy Service submission, or deletion requires explicit authority.

Error Handling

  • Do not publish universal 24-hour retention claims across Adobe products.
  • Do not pre-screen prompts with unsupported claims that override Adobe's actual decision.
  • Do not expose signed URLs in logs, tickets, or analytics.

Output

Return the data-flow register, classifications, lawful purpose/owner, custody decisions, retention/deletion schedule, tests, and gaps. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Delete a synthetic PDF asset and verify access fails.
  • Prove a signed URL is redacted from every telemetry sink.

Validation

Exercise and record expected and observed results for:

  • PII
  • regulated document
  • signed URL
  • policy rejection
  • legal hold
  • 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
CategoryAutomation
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