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issue-resolver

Autonomous issue resolution agent that investigates, plans, and fixes issues using sub-agents and browser-based validation. Use when the user provides one or more issues to resolve autonomously, wants hands-off debugging and fixing, or needs an orchestrated investigate-plan-execute-validate workflow.

69

Quality

84%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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 content is a tightly structured, validation-aware orchestration workflow that assumes Claude's competence and gives concrete tool and file references. The main gap is the unspecified sub-agent spawning mechanism.

Suggestions

Show the actual mechanism for spawning sub-agents (e.g., the Agent tool invocation or a reusable prompt skeleton) so the 'spawn a dedicated sub-agent' step is executable.

Consolidate the repeated per-phase sub-agent instruction bullets into a single shared template to remove structural redundancy.

DimensionReasoningScore

Conciseness

The body is lean and instruction-oriented with no concept-explanation padding, but the per-phase sub-agent instruction lists carry some structural redundancy that could be tightened.

4 / 5

Actionability

Concrete tools, file names, and status states are specified (browser_navigate, PLAN.md, debug.log), but 'spawn a dedicated sub-agent' never gives the actual spawn mechanism or invocation detail.

4 / 5

Workflow Clarity

A clear four-phase sequence with explicit validation checkpoints, feedback loops ('Iterate until all acceptance criteria'), and a progress-tracking checklist; the batch/destructive cap does not apply because validation is present.

5 / 5

Progressive Disclosure

No bundle files are needed; the single self-contained file is well-sectioned with nothing that clearly belongs in a separate reference, satisfying the simple-skill exception.

5 / 5

Total

18

/

20

Passed

Description

83%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.

The description is well-constructed, clearly stating both capabilities and explicit use-when triggers in a concise third-person voice. Its main weakness is trigger-term jargon and minor overlap risk with generic fixing skills.

Suggestions

Soften 'orchestrated investigate-plan-execute-validate workflow' into more natural user phrasing (e.g., 'when you want an end-to-end fix without manual testing').

Add a couple of natural synonyms (e.g., 'resolve bugs,' 'hands-off fixing,' 'autonomous debugging') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the issue-resolution domain and several concrete actions ('investigates, plans, and fixes issues,' 'sub-agents,' 'browser-based validation'), but the actions are somewhat high-level rather than comprehensive.

4 / 5

Completeness

Explicitly answers both what the skill does and when to use it, with concrete multiple trigger phrases in the 'Use when...' clause.

5 / 5

Trigger Term Quality

Good natural triggers ('issues to resolve autonomously,' 'hands-off debugging and fixing'), but 'orchestrated investigate-plan-execute-validate workflow' is jargon and synonym coverage is thin.

4 / 5

Distinctiveness Conflict Risk

The autonomous orchestration plus browser-validation framing is a distinct niche, though 'debugging and fixing' could overlap with general fix-related skills.

4 / 5

Total

17

/

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
mattermost/mattermost-ai-marketplace
Reviewed

Table of Contents

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