firecrawl-data-handling
Implement FireCrawl PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for FireCrawl integrations. Trigger with phrases like "firecrawl data", "firecrawl PII", "firecrawl GDPR", "firecrawl data retention", "firecrawl privacy", "firecrawl CCPA".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill firecrawl-data-handling84
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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 well-crafted skill description that excels across all dimensions. It provides specific capabilities, comprehensive trigger terms, explicit 'Use when' guidance, and clear distinctiveness through the FireCrawl + privacy/compliance combination. The description uses proper third-person voice and avoids vague language.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'PII handling', 'data retention', 'GDPR/CCPA compliance patterns', 'data redaction', 'configuring retention policies'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (implement PII handling, data retention, compliance patterns) and when (explicit 'Use when...' clause with specific scenarios plus 'Trigger with phrases' section providing explicit guidance). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'firecrawl data', 'firecrawl PII', 'firecrawl GDPR', 'firecrawl data retention', 'firecrawl privacy', 'firecrawl CCPA'. These are terms users would naturally use when seeking this functionality. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche: FireCrawl-specific privacy/compliance functionality. The combination of 'FireCrawl' + privacy/compliance terms creates a unique trigger space unlikely to conflict with general privacy skills or other FireCrawl skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides solid, actionable code examples for FireCrawl data handling with good organization and reference structure. The main weakness is the lack of validation checkpoints in workflows involving sensitive operations like data deletion and compliance exports, which are critical for error recovery. Some minor verbosity in prerequisites and overview sections could be trimmed.
Suggestions
Add explicit validation steps after deletion operations (e.g., verify deletion completed, check for orphaned data references)
Include a verification step in the DSAR export workflow to confirm all data sources were successfully queried before sending to user
Remove the 'Prerequisites' section - Claude already understands GDPR/CCPA concepts and infrastructure requirements
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with good use of tables and code examples, but includes some unnecessary sections like 'Prerequisites' listing things Claude would know, and the 'Overview' adds little value. The structure is reasonable but could be tighter. | 2 / 3 |
Actionability | Provides fully executable TypeScript code for PII detection, redaction, data cleanup, DSAR exports, and deletion. Code examples are copy-paste ready with concrete regex patterns, database operations, and cron scheduling. | 3 / 3 |
Workflow Clarity | Steps are listed in the 'Instructions' section but lack validation checkpoints. For sensitive operations like data deletion and GDPR compliance, there are no explicit verification steps or feedback loops to confirm successful execution before proceeding. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections, tables for quick reference, and appropriate external links to GDPR/CCPA guides. References to related skill 'firecrawl-enterprise-rbac' is one level deep and clearly signaled. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
75%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 12 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 12 / 16 Passed | |
- Reviewed
Table of Contents
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