Automate database backup processes with scheduling, compression, and encryption. Supports PostgreSQL (pg_dump), MySQL (mysqldump), MongoDB (mongodump), and SQLite. Generates production-ready backup scripts with retention policies and restore procedures. Trigger: "automate database backups", "schedule backups", "create backup script", "disaster recovery". Use when working with automating database backups. Trigger with 'automating', 'database', 'backups'.
78
75%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/database/database-backup-automator/skills/automating-database-backups/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly communicates specific capabilities across multiple database systems, includes concrete actions (scheduling, compression, encryption, retention policies), and provides explicit trigger guidance. The description is well-structured with a clear separation of what it does and when to use it. Minor improvement could be made by slightly reducing redundancy in the trigger section where 'automating database backups' appears in both the trigger list and the 'Use when' clause.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: scheduling, compression, encryption, names specific tools (pg_dump, mysqldump, mongodump), mentions retention policies and restore procedures. Very detailed and actionable. | 3 / 3 |
Completeness | Clearly answers both 'what' (automate backup processes with scheduling, compression, encryption for multiple databases, generate scripts with retention policies) and 'when' (explicit trigger clause with 'Use when working with automating database backups' and specific trigger terms). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'automate database backups', 'schedule backups', 'create backup script', 'disaster recovery', plus specific database names (PostgreSQL, MySQL, MongoDB, SQLite). Good coverage of natural terms. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on database backup automation. The combination of specific database tools, backup-specific terminology, and distinct trigger terms makes it unlikely to conflict with other skills like general database management or generic scripting skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides a reasonable structure for database backup automation with concrete bash examples and a multi-step workflow, but suffers from boilerplate padding at the end (vague Examples, redundant Overview, generic Prerequisites), reliance on unverified helper scripts, and a missing feedback loop for validation failures. The Quick Start section is the strongest part, while the tail end of the document significantly weakens overall quality.
Suggestions
Remove the redundant Overview, generic Prerequisites, and vague Examples sections at the bottom—they add no value and waste tokens.
Add an explicit feedback loop after Step 4 validation: what to do if validation fails, how to diagnose, and when to retry.
Clarify the relationship between Quick Start examples and the Step 2-5 script-based workflow—are they alternatives for different use cases?
Fix the PostgreSQL example inconsistency: --format=custom produces a binary dump, not a .sql file, so the .sql.gz extension is misleading.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill has some unnecessary sections (Overview at the bottom repeats the intro, Prerequisites is generic and adds little value, Examples section is vague filler). The cron reference table and error handling table are useful but the overall content could be tightened. The ending sections feel like boilerplate padding. | 2 / 3 |
Actionability | The Quick Start bash scripts are concrete and executable, but the core workflow relies on helper scripts (backup_script_generator.py, backup_scheduler.py, backup_validator.py, restore_script_generator.py) that may or may not exist. The Examples section at the bottom is completely vague with no actual examples. The PostgreSQL backup uses --format=custom but pipes to .sql.gz which is misleading. | 2 / 3 |
Workflow Clarity | Steps 1-5 provide a clear sequence, and Step 4 includes validation. However, there's no explicit feedback loop (what to do if validation fails), and the workflow depends entirely on external scripts whose existence and behavior are unverified. The connection between Quick Start examples and the Step-based workflow is unclear—are they alternatives or complementary? | 2 / 3 |
Progressive Disclosure | References to external files are well-listed at the bottom with clear paths, and the content is structured with headers. However, the document is somewhat long with inline content that could be split out (e.g., per-database backup examples), and the Overview/Prerequisites/Examples sections at the bottom feel misplaced and disorganized, breaking the otherwise logical flow. | 2 / 3 |
Total | 8 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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Table of Contents
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