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dt-obs-gcp

GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring. Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across projects and folders.

60

Quality

69%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/dt-obs-gcp/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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.

Well-structured and actionable DQL guidance with genuine progressive disclosure into verified reference files, but it lacks explicit validation/error-recovery checkpoints in its workflows and repeats a few notes across sections.

Suggestions

Add explicit validation checkpoints for query workflows, e.g., 'After parsing gcp.object, check isNotNull() on the parsed field before selecting it; re-scope with a project/region filter if rows are unexpectedly empty.'

Deduplicate the GCP-specific notes that appear in both 'Limitations and Notes' and 'Best Practices' (backtick label syntax, '*' traversal, gcp.object parsing) into a single canonical location.

Replace the placeholder-only filter examples with at least one complete, runnable query using a concrete scoping pattern so the core patterns are fully turnkey.

DimensionReasoningScore

Conciseness

The body is lean and signal-dense with no padding or basic-concept over-explanation; a few GCP-specific notes are restated across 'Limitations and Notes' and 'Best Practices', which could be tightened.

4 / 5

Actionability

Four copy-paste-ready DQL patterns with real smartscapeNodes/parse/traverse syntax plus concrete field lists; minor placeholder gaps (e.g., '<PROJECT_ID>') keep it just short of fully turnkey.

4 / 5

Workflow Clarity

A task-to-reference routing table sequences the workflow clearly, but there are no explicit validation checkpoints or error-feedback loops for query troubleshooting, leaving checkpoints implicit.

3 / 5

Progressive Disclosure

Core patterns stay in SKILL.md while service-specific detail moves to nine real one-level-deep reference files, signaled via two clear routing tables; mild duplication of notes prevents a 5.

4 / 5

Total

15

/

20

Passed

Description

70%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 specific, distinct, and rich in natural GCP trigger terms, but it omits an explicit 'Use when…' clause that would tell Claude precisely when to invoke the skill.

Suggestions

Append an explicit trigger clause such as 'Use when the user asks to inventory, query, or audit GCP resources in Dynatrace (e.g., Compute Engine, GKE, Cloud Run, Pub/Sub, IAM).'

Add natural synonyms and shorthand users say ('gcloud projects', 'GCP labels', 'VPCs', 'service accounts') to broaden trigger coverage.

Consider adding a verb-first framing that pairs each action with the triggering user intent (e.g., 'Audit IAM roles when…').

DimensionReasoningScore

Specificity

Names the domain plus nine specific GCP services and four concrete actions ('Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy'), giving comprehensive coverage with only minor action gaps.

4 / 5

Completeness

Clearly answers 'what' with concrete capabilities, but lacks an explicit 'Use when…' trigger clause; per the guideline, a missing explicit trigger caps completeness at 3.

3 / 5

Trigger Term Quality

Includes strong natural keywords users would say ('GCP', 'Compute Engine', 'GKE', 'Cloud Run', 'Pub/Sub', 'IAM', 'Secret Manager'), though common synonyms and file extensions are not exhaustively covered.

4 / 5

Distinctiveness Conflict Risk

Scoped specifically to GCP infrastructure within Dynatrace, a clear niche with distinct triggers and minimal conflict risk against other cloud skills.

5 / 5

Total

16

/

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
Dynatrace/dynatrace-for-ai
Reviewed

Table of Contents

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