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computer-health-check

Run a comprehensive, read-only health check on the user's computer and return a scored chat summary with prioritized, plain-English recommendations and safe cleanup suggestions. Use this whenever the user wants to check their computer's health, speed it up, free up / reclaim disk space, find what's eating CPU / memory / storage, check battery health and wear, audit login & startup items, see pending updates, or asks for a "tune-up", "checkup", "system report", "health check", or "is my Mac/PC/laptop healthy". Trigger even on casual phrasing like "my laptop feels slow", "why is my fan so loud", "my computer is laggy", "running out of space", or "clean up my machine". Works on macOS, Windows, and Linux. This is a Desktop Commander skill: it relies on a real local shell (start_process / interact_with_process) and is strictly read-only by default — it never needs sudo and only performs cleanups the user explicitly approves.

87

1.19x
Quality

94%

Does it follow best practices?

Impact

61%

1.19x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

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.

A well-structured, highly actionable skill: an exact output template, a concrete scoring rubric, explicit safety gates, and clean one-level-deep per-OS references. The only slack is mild redundancy in the safety messaging and a few rhetorical asides that could be trimmed for token efficiency.

Suggestions

Consolidate the safety rules: the 'safety contract', Step 5's safe/needs-user/never tiers, and the notes repeat the same sudo/deletion prohibitions — state them once and cross-reference.

Trim motivational asides like 'the way a good technician would: look first, explain plainly, fix only with permission' and 'This is the part that makes users trust the skill'; the contract bullets already convey the rules.

DimensionReasoningScore

Conciseness

The body is dense and purposeful — a scoring table, an exact report template, and terse per-step guidance — but there are trimmable elements: safety rules are restated across the 'safety contract', Step 5's tier lists, and the notes ('Never' appears twice), and a few rhetorical asides ('the way a good technician would…', 'This is the part that makes users trust the skill') earn no guidance value. This fits the 'efficient; minor instances of over-explanation that could be trimmed' anchor, one notch below the lean-every-token-counts level.

4 / 5

Actionability

Guidance is fully executable: a copy-paste report template with exact line structure, a numeric scoring rubric with thresholds ('>20% free', '18 per 🔴'), named cleanup commands ('brew cleanup', 'npm cache clean', 'apt-get clean'), and per-OS batched collection scripts in the reference files (verified present and runnable, e.g. the macOS zsh batch with labeled sections). It matches the 'copy-paste ready, covers common cases' top anchor.

5 / 5

Workflow Clarity

Five steps are explicitly sequenced with an OS-discovery decision point, error tolerance ('If a single command errors… continue — partial data is fine'), per-action approval gates for cleanups, and a post-cleanup feedback loop ('Re-running Step 2's storage check afterward is a nice confirmation'). The destructive/batch-operation cap does not apply since validation and checkpoints are present; this matches the 'explicit validation steps; feedback loops' top anchor.

5 / 5

Progressive Disclosure

The body is a clean overview that defers platform specifics to three clearly signaled, one-level-deep references ('macOS → references/macos.md', etc., all verified to exist) and instructs reading only the matching one. Each reference file follows the same section structure (collection script, interpretation, optional checks, cleanup) with no further nesting, matching the top anchor exactly.

5 / 5

Total

19

/

20

Passed

Description

96%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: explicit what-and-when structure, comprehensive natural-language triggers including casual phrasings and platform variants, and concrete capability claims. The only weakness is that a few broad cleanup/space triggers could collide with adjacent cleanup-focused skills.

DimensionReasoningScore

Specificity

The description enumerates concrete capabilities ('run a comprehensive, read-only health check', 'return a scored chat summary with prioritized, plain-English recommendations', 'safe cleanup suggestions') and names the specific areas covered — disk space, CPU/memory/storage hogs, battery health and wear, login & startup items, pending updates. Coverage is comprehensive, matching the top anchor rather than the 'minor gaps' level 4.

5 / 5

Completeness

It explicitly answers both questions: what ('Run a comprehensive, read-only health check… return a scored chat summary with prioritized recommendations and safe cleanup suggestions') and when ('Use this whenever the user wants to check their computer's health, speed it up, free up / reclaim disk space…') with concrete trigger phrases. This is a direct match to the top anchor's exemplar pattern.

5 / 5

Trigger Term Quality

It covers natural user phrasing exhaustively: synonyms ('tune-up', 'checkup', 'system report', 'health check'), casual triggers ('my laptop feels slow', 'why is my fan so loud', 'running out of space'), and platform variants ('is my Mac/PC/laptop healthy'). This matches the comprehensive-synonyms anchor; nothing common is missing.

5 / 5

Distinctiveness Conflict Risk

The computer-health-check niche is clear and the tool constraint ('a Desktop Commander skill… strictly read-only by default') further distinguishes it. However, broad casual triggers like 'clean up my machine' and 'running out of space' carry minor overlap risk with generic disk-cleanup / file-organization skills, fitting the 'mostly distinct; minor overlap risk' anchor rather than 'minimal conflict risk'.

4 / 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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
wonderwhy-er/DesktopCommanderMCP
Reviewed

Table of Contents

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