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assign-label

Assign GitHub issue labels based on content analysis. Use when: (1) A new issue is created and needs categorization, (2) An issue needs relabeling after content changes, (3) Analyzing issue content to determine appropriate labels. Intelligently preserves template-assigned and user-applied labels while updating skill-assigned labels based on current content.

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./.claude/skills/assign-label/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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.

The body is well-structured and mostly actionable with concrete gh commands and useful worked scenarios, but it restates the label-preservation logic across multiple sections and lacks an explicit validation checkpoint before mutating labels — the latter capping workflow clarity at 3.

Suggestions

Add an explicit validation/verification step before applying label changes (e.g., re-read the calculated keep/add/remove diff and confirm no user-applied labels are in the remove set before running the edit command), which would raise workflow clarity above the destructive-operation cap.

De-duplicate the preserve-template-and-user-labels / update-skill-labels guidance that currently appears in Label Classification, Label Selection Rules, and Notes — state it once authoritatively and reference it.

Provide the concrete `gh issue edit $0#$1 --add-label ... --remove-label ...` command (or equivalent) so the apply step is copy-paste ready rather than implied.

DimensionReasoningScore

Conciseness

Mostly efficient but noticeably redundant — the Label Classification / Label Selection Rules / Notes sections restate the preserve-template-and-user-labels, update-skill-labels logic three times, which is padding a concept already established.

3 / 5

Actionability

Provides concrete, executable commands (`gh api repos/$0/issues/$1/events --jq ...`, `gh label list`) and a clear report template; minor gap in not giving the exact `gh issue edit --add-label/--remove-label` command to apply changes.

4 / 5

Workflow Clarity

The 8-step Process is clearly sequenced, but this is a batch operation mutating issue labels (destructive) with no explicit validation/verification checkpoint before applying changes — the feedback-loops cap of 3 applies.

3 / 5

Progressive Disclosure

Well-organized with clear section headers (Input Variables, Task, Label Classification, Process, Report Format, Example Scenarios); no bundle files exist so all content is appropriately inline with no nested references.

4 / 5

Total

14

/

20

Passed

Description

86%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, specific description that clearly states both what the skill does and when to use it, with a useful numbered trigger clause and distinct niche. It could be slightly tightened and add a few user-natural synonyms (tag/triage), but reads well overall.

DimensionReasoningScore

Specificity

Names the domain (GitHub issue labeling) and several concrete actions — categorization, relabeling after content changes, preserving template/user labels, updating skill-assigned labels — with only minor coverage gaps around what categories are recognized.

4 / 5

Completeness

Explicitly answers both what ('Assign GitHub issue labels based on content analysis') and when with a concrete numbered 'Use when' clause covering creation, relabeling, and analysis triggers.

5 / 5

Trigger Term Quality

Good natural keyword coverage ('new issue is created', 'needs categorization', 'relabeling', 'issue content', 'labels') though it omits common synonyms users might say like 'tag' or 'triage'.

4 / 5

Distinctiveness Conflict Risk

A clear niche (GitHub issue label assignment with preservation logic) with distinct triggers; minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
netwrix/docs
Reviewed

Table of Contents

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