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issue-triage

Run open-source triage on Arize-ai/phoenix issues — classify type, check sufficiency, apply component and complexity labels, flag work that already shipped, investigate complex bugs, tidy formatting, then gate against a contributor policy such as "good student issue". Runs incrementally or as a configurable backlog sweep. Use when triaging issues, auditing triage quality, or refining triage criteria.

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%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.

An exceptionally well-engineered operational skill: executable commands with concrete thresholds, a clearly sequenced seven-stage workflow with validation and destructive-change guards at every risky step, and a clean one-level-deep reference structure verified against the actual bundle. The only weakness is mild redundancy — the never-close rules and one gh command are each stated twice — which keeps conciseness just short of the top anchor.

DimensionReasoningScore

Conciseness

The body is dense and entirely repo-specific — label semantics, house title conventions, and gate rules are all non-obvious knowledge, not concepts Claude already has — but a few spots could be trimmed: the never-close/no-git rule is stated both in the intro ("Never close an issue, never touch a pull request, never run git") and again in Hard limits, and the regression-pass gh command largely duplicates the Pass A command shape. This lands on the 4 anchor (efficient with minor trimmable instances), below 5 due to that repetition and occasional editorial asides.

4 / 5

Actionability

Fully executable guidance throughout: exact gh commands with flags and --jq filters ready to run, concrete thresholds (600-character truncation, 1000-result search cap, ~200-word comment limit), findings-to-actions decision tables for every stage, and an explicit allowed-command allowlist. Placeholders like <limit> and <sort> are parameters the skill itself defines in Run scope, so the commands are copy-paste ready, matching the 5 anchor.

5 / 5

Workflow Clarity

The seven stages are explicitly sequenced with a stage table declaring each stage's question and writes, and validation checkpoints are present everywhere they matter for this batch/destructive operation: re-read an issue's current title and body immediately before editing, slice-truncation detection ("never report a truncated slice as covered"), the "Cannot tell — compute it now, then judge" recovery loop, and destructive-change guards ("remove only on a clear, statable criteria failure"). This matches the 5 anchor's feedback loops and checklists, exceeding the 4 anchor.

5 / 5

Progressive Disclosure

Scored against the actual bundle: all three referenced files (references/good-student-issue.md, references/factory-candidate.md, references/body-formatting.md) exist with real content, are exactly one level deep, and are clearly signaled via the gate-policy table and the stage 6 pointer; policies are self-contained and removable by design. The 455-line body holds per-stage operational rules rather than bulk material that belongs in separate files, matching the 5 anchor's clear overview with well-signaled one-level-deep references.

5 / 5

Total

19

/

20

Passed

Description

92%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: it states the full workflow in concrete third-person verbs, names its specific repository niche, and closes with an explicit multi-trigger "Use when" clause. The only minor gap is synonym coverage beyond the triage variants (e.g. issue labeling or backlog grooming phrasing).

DimensionReasoningScore

Specificity

Lists seven concrete actions spanning the entire workflow — "classify type, check sufficiency, apply component and complexity labels, flag work that already shipped, investigate complex bugs, tidy formatting, then gate against a contributor policy" — with no coverage gaps, matching the comprehensive-coverage anchor. Third-person voice throughout, so no voice penalty applies.

5 / 5

Completeness

Explicitly answers both questions: the "what" is the full concrete action list, and the "when" is a dedicated trigger clause — "Use when triaging issues, auditing triage quality, or refining triage criteria" — with three concrete trigger phrases, matching the 5 anchor exactly.

5 / 5

Trigger Term Quality

Good natural-keyword coverage — "triaging issues", "backlog sweep", "auditing triage quality", "refining triage criteria" — but misses common synonyms a user might say such as "label issues" or "groom the backlog", so it falls short of the comprehensive synonym coverage of the 5 anchor while clearly exceeding the 3 anchor.

4 / 5

Distinctiveness Conflict Risk

"Run open-source triage on Arize-ai/phoenix issues" names a specific repository and a distinct niche, with a unique gate-policy example ("good student issue") — a clear niche with distinct triggers and minimal conflict risk with other skills.

5 / 5

Total

19

/

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

Total

15

/

16

Passed

Repository

Arize-ai/phoenix

Path

.agents/skills/issue-triage/SKILL.md

Reviewed

Table of Contents

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