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review-data-pr

Perform an intelligent review of geographic data PRs beyond schema validation. Use this skill whenever reviewing a data PR, performing code review on contributions, checking if data makes geographical sense, or assessing data quality. Trigger on: PR review requests for data changes, "review this PR", "does this look right", "is this data correct", quality assessment requests, geographic plausibility checks, suspicious pattern detection, or any pull request touching files in the contributions/ directory. This goes beyond schema validation to check real-world geographic accuracy.

68

Quality

86%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, lean review-process skill with concrete pattern definitions, a clear output format, and useful escalation criteria. The main improvement opportunities are tightening the restated-description line, specifying how to verify sources/coordinates, and adding an explicit feedback loop for ambiguous findings.

Suggestions

Specify concrete verification methods for the source checks (e.g., which command or lookup to use for 'the source URL is accessible' and 'the source actually contains the claimed data') to close the actionability gap.

Add an explicit decision loop after Step 3 for what to do when a suspicious pattern is confirmed but the source is Tier 1 (e.g., verify against the source, then either clear or escalate) to strengthen workflow checkpoints.

Trim the restated frontmatter line ('This goes beyond schema validation...') and mark clearly optional Step 5 items more tersely to push conciseness toward fully lean.

DimensionReasoningScore

Conciseness

The body is efficient bullet-based guidance with no explanation of concepts Claude already knows and concrete illustrative examples ('Springfield' in India, '34.0, -118.0' precision). One line — 'This skill goes beyond schema validation to check data quality and plausibility' — merely restates the frontmatter, and a few optional-field notes could be trimmed, so it sits at 'efficient with minor trims' rather than fully lean.

4 / 5

Actionability

For an instruction-only skill the guidance is largely actionable: specific suspicious-pattern definitions (identical/sequential coordinates, shared latitudes, ocean coordinates), a tiered source classification, a concrete output template, and a numeric escalation threshold (>100 records). It falls short of fully executable because verification methods are unstated — e.g., how to check 'the source URL is accessible' or 'the source actually contains the claimed data' — leaving minor gaps.

4 / 5

Workflow Clarity

Six clearly numbered steps flow from reading PR context through plausibility, patterns, source verification, completeness, and an overall quality assessment, with an output template and explicit escalation criteria acting as decision checkpoints. There is no validate-then-retry feedback loop (e.g., what to do when a check fails or is ambiguous beyond escalating), which keeps it at 'most checkpoints present, minor gaps'.

4 / 5

Progressive Disclosure

The body is well organized into clearly headed sections with no content that warrants splitting into reference files, and no bundle files exist to manage. At ~84 lines it exceeds the under-50-line simple-skill carve-out, and sections like Tone Guidelines and the output template could arguably live in a reference, so it lands at 'good structure with minor organization gaps' rather than the top anchor.

4 / 5

Total

16

/

20

Passed

Description

91%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that clearly states what the skill does and provides rich, explicit trigger guidance including natural user phrases and a file-path trigger. The only weaknesses are the mildly soft 'intelligent review' framing and a couple of triggers ('review this PR', code review) that could collide with generic PR-review skills.

DimensionReasoningScore

Specificity

The description lists several specific actions — 'reviewing a data PR', 'checking if data makes geographical sense', 'suspicious pattern detection', 'check real-world geographic accuracy' — but 'Perform an intelligent review' is a soft phrase and the concrete actions are named as trigger contexts rather than crisp capability statements, leaving minor gaps in coverage.

4 / 5

Completeness

It explicitly answers both 'what' ('Perform an intelligent review of geographic data PRs beyond schema validation... check real-world geographic accuracy') and 'when' with two explicit trigger clauses ('Use this skill whenever reviewing a data PR...' and 'Trigger on: ...'), so it matches the anchor requiring clear concrete trigger phrases for both.

5 / 5

Trigger Term Quality

It covers natural user phrasings comprehensively with synonyms and variants — 'review this PR', 'does this look right', 'is this data correct', 'quality assessment requests', 'geographic plausibility checks' — plus a path-scoped trigger ('any pull request touching files in the contributions/ directory'), matching the comprehensive anchor including natural synonyms.

5 / 5

Distinctiveness Conflict Risk

The niche (geographic data PRs, contributions/ directory, plausibility checks) is clearly staked out, but generic triggers like 'review this PR' and 'performing code review' overlap with general PR-review skills, giving minor conflict risk with closely related skills rather than minimal.

4 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
dr5hn/countries-states-cities-database
Reviewed

Table of Contents

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