agentleFS
BurakDBurakD/ai-engineering-harness/skills/backup-and-recovery-review/SKILL.md

backup-and-recovery-review

Skill1 starsChanged 2 months agoApache-2.0View on GitHub

Reviews backup, restore, and recovery readiness for persistent data, configuration, and critical assets. Use when changing stateful systems or assessing whether important data and services can be recovered after loss, corruption, or outage.

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer evidence from a recent restore test, recovery exercise, integrity check, or equivalent validation.

    line 18
  2. Distinctive:

    Check whether backup failures, capacity problems, retention failures, and unsuccessful recovery tests can be detected and acted on.

    line 22
  3. Distinctive:

    When a change introduces or materially alters persistent assets, verify that backup and recovery coverage changes with it.

    line 24

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Backup and recovery review

  1. Identify persistent data, files, configuration, metadata, and other assets that would be costly, risky, or impossible to recreate.
  2. For each asset, determine the backup mechanism, location, frequency, retention, integrity protection, access controls, and independence from the primary failure domain.
  3. Identify credentials, encryption keys, configuration, infrastructure definitions, external dependencies, and other prerequisites required for recovery. Never copy or expose secret values while documenting recovery requirements.
  4. Define or verify the restore procedure, dependency order, required tools, expected recovery destination, and any manual steps.
  5. Prefer evidence from a recent restore test, recovery exercise, integrity check, or equivalent validation. A successful backup job alone is not proof that recovery works.
  6. Evaluate recovery point and recovery time expectations when the project defines them or when the impact of data loss makes them relevant. Report any gap between expected and demonstrated recovery capability.
  7. Check whether backup failures, capacity problems, retention failures, and unsuccessful recovery tests can be detected and acted on.
  8. When a change introduces or materially alters persistent assets, verify that backup and recovery coverage changes with it.

Report the assets reviewed, demonstrated recovery evidence, uncovered or unverified recovery paths, material recovery risks, and the next safe corrective action.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.