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execute-mule-run-config

Call use_skill as your FIRST and ONLY action when the user asks to RUN, START, or DEBUG a Mule application. This includes executing applications in run mode OR debug mode. Trigger phrases include "run my project", "run all projects", "debug my project", "debug all my projects", "start the app", "run <project-name>", "debug <project-name>". When you call use_skill, it must be the only tool call in that response.

71

Quality

86%

Does it follow best practices?

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SecuritybySnyk

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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 highly actionable and well-structured with clear workflow checkpoints and validation. Its main weakness is repetition — several rules and the mode-detection logic are restated across sections, which inflates token usage without adding clarity.

Suggestions

Consolidate the mode-detection (run vs debug) rules into one authoritative section; the same noDebug guidance currently appears in 'Detecting Request Specificity', 'Handling Specific Requests', and the examples.

Deduplicate the 'Important Notes' block — items like 'ALWAYS call get_workspace_info first', 'NEVER call list without scope', and 'Use the EXACT name returned' are already stated inline in the workflow steps.

Move the six example conversations to a single 'Example Conversations' reference or trim to 2-3 representative cases to reduce the length while preserving coverage of specific, vague, and stale-project scenarios.

DimensionReasoningScore

Conciseness

The body is mostly efficient domain-specific guidance but restates the same rules multiple times (mode detection appears in three sections; 'get_workspace_info first', 'list needs scope', 'use exact name' are each repeated), so it could be tightened; it does not waste tokens explaining concepts Claude already knows, keeping it above a 2.

3 / 5

Actionability

Provides fully executable tool calls with exact JSON parameter blocks, specific naming conventions, concrete noDebug flags, and six worked example conversations covering common cases.

5 / 5

Workflow Clarity

Clear numbered sequence with explicit STOP-and-wait checkpoints, re-evaluation after get_workspace_info, and validation rules (stale-project detection, exact-name-after-create); the skill is execution rather than destructive/batch editing, so the cap-3 rule does not apply.

5 / 5

Progressive Disclosure

No bundle files exist and none are needed; the single SKILL.md is well-organized into clearly labeled navigable sections (Your Task, Detecting Request Specificity, Handling Specific Requests, Step-by-Step Process, Important Notes, Example Conversations).

5 / 5

Total

18

/

20

Passed

Description

87%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 strong: it uses third-person voice, clearly states what the skill does and when to trigger it, and provides concrete natural-language trigger phrases. Minor gaps in specificity and trigger coverage keep specificity and trigger_term_quality at 4 rather than 5.

DimensionReasoningScore

Specificity

Names the concrete action ('Call use_skill as your FIRST and ONLY action') plus the run/debug modes, listing several specific actions with only minor coverage gaps; not as comprehensive as the score-5 multi-action example.

4 / 5

Completeness

Explicitly answers both what ('Call use_skill ... to RUN, START, or DEBUG a Mule application') and when ('when the user asks to RUN, START, or DEBUG' with concrete trigger phrases), matching the score-5 anchor.

5 / 5

Trigger Term Quality

Includes many natural phrases users would say ('run my project', 'run all projects', 'debug my project', 'start the app', 'run <project-name>') with run/start/debug synonyms, but a few common variations are absent.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (Mule run configuration execution) with distinct, tool-specific triggers and minimal overlap risk with other skills.

5 / 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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mulesoft/mulesoft-dx
Reviewed

Table of Contents

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