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database-cloud-optimization-cost-optimize

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.

Quality

61%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/database-cloud-optimization-cost-optimize/SKILL.md

The canonical home for this skill is database-cloud-optimization-cost-optimize in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

57%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 skill is a lean, well-sectioned overview with a sensible workflow order and safety guidance, but it stays high-level: no concrete tooling or commands per provider, validation checkpoints segregated from the workflow, and a reference to a playbook file that is absent from the bundle. It reads as a scaffold rather than an operational guide.

Suggestions

Add concrete per-provider guidance, e.g. AWS Cost Explorer / `aws ce get-cost-and-usage`, Azure Cost Management CLI, GCP billing export to BigQuery, and concrete checks for idle EBS volumes, unattached IPs, and underutilized instances.

Integrate validation checkpoints into the workflow sequence with an explicit feedback loop (e.g. '3. Validate in staging → if performance regresses, roll back and adjust sizing → retry') instead of isolating them in the Safety section.

Fix the dangling reference: either ship `references/implementation-playbook.md` in the bundle or remove the pointer, since following it currently leads nowhere.

DimensionReasoningScore

Conciseness

The body is lean and bullet-driven, but two pieces could be trimmed: the opening persona sentence duplicates the frontmatter description verbatim ('You are a cloud cost optimization expert specializing in reducing infrastructure expenses...') and the Context section ('The user needs to optimize cloud infrastructure costs without compromising performance or reliability. Focus on actionable recommendations...') restates what the other sections already establish. This matches anchor 4 ('Efficient; minor instances of over-explanation that could be trimmed') rather than 5, where every token would earn its place.

4 / 5

Actionability

Directives like 'Collect cost data by service, resource, and time window' and 'Identify waste and quick wins with estimated savings' give some concrete guidance, but the how is missing — no provider tooling (AWS Cost Explorer, Azure Cost Management, GCP billing export), commands, thresholds, or examples. This matches anchor 3 ('Some concrete guidance but incomplete... missing key details'). Not 4 because none of the steps are executable as written for an instruction-only skill.

3 / 5

Workflow Clarity

The Instructions bullets form a coherent sequence (collect data → identify waste → propose changes with rollback plan → implement budgets/alerts), and validation guidance exists ('Validate changes in staging before production rollout', 'Ensure backups and rollback paths before resizing or deletion'), so the destructive-operation cap applies on the merits. However, the checkpoints sit in a separate Safety section rather than in the workflow, steps are unnumbered, and there is no validate → fix → retry feedback loop, matching anchor 3 ('Steps listed but validation gaps; sequence present but checkpoints missing or implicit').

3 / 5

Progressive Disclosure

The body is under 50 lines with well-organized sections (Use when / Do not use / Context / Requirements / Instructions / Safety / Resources) and a clearly signaled, one-level-deep pointer to 'resources/implementation-playbook.md' repeated in Instructions and Resources. However, the bundle contains no resources/ directory at all — the sole referenced file does not exist — so the disclosure chain is broken in practice. This sits between anchors 3 and 4: the structure and signaling are good, but the dangling reference keeps it at 3.

3 / 5

Total

13

/

20

Passed

Description

48%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 clearly names its domain and lists three actions, but opens in second person ('You are a cloud cost optimization expert'), leans on generic phrasing, and contains no 'Use when...' trigger clause, capping completeness. It is distinguishable from most other skills but would benefit from concrete, third-person capability statements with explicit triggers.

Suggestions

Rewrite in third person with concrete actions, e.g. 'Analyzes cloud spending by service and resource, identifies rightsizing and idle-resource waste, and implements budgets, alerts, and tagging policies across AWS, Azure, and GCP.'

Add an explicit trigger clause with natural user phrases, e.g. 'Use when the user asks to reduce cloud costs, lower their AWS/Azure/GCP bill, rightsize instances, or review cloud waste.'

Replace vague terms like 'savings opportunities' and 'cost-effective architectures' with specific mechanisms (reserved/savings plans, storage tiering, instance rightsizing, budget alerts).

DimensionReasoningScore

Specificity

Phrases like 'Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures' name the domain with a few actions, but the actions are generic and buzzword-adjacent ('savings opportunities', 'cost-effective architectures'), landing at a base of 3 ('Names domain and 1-2 concrete actions, but not comprehensive'). The description opens in second person — 'You are a cloud cost optimization expert' — which the judging guidelines penalize by reducing specificity by 1, yielding 2.

2 / 5

Completeness

The 'what' is clear (analyze spending, identify savings, implement cost-effective architectures), but there is no 'when' — no 'Use when...' clause or equivalent explicit trigger guidance anywhere in the description. The judging guidelines explicitly cap completeness at 3 for this case, matching anchor 3 ('Has a clear what but when is missing or only weakly implied').

3 / 5

Trigger Term Quality

Relevant keywords are present — 'cloud spending', 'cost optimization', 'AWS, Azure, and GCP' — but common natural variations users would actually say ('reduce our cloud bill', 'cut AWS costs', 'rightsizing', 'FinOps') are missing, matching anchor 3 ('Some relevant keywords but missing common variations or synonyms'). Not 4 because coverage leans on provider names and one phrase rather than a broad set of natural terms.

3 / 5

Distinctiveness Conflict Risk

The niche is fairly distinct — 'cloud cost optimization' across 'AWS, Azure, and GCP' would rarely trigger for unrelated skills, matching anchor 4 ('Mostly distinct; minor overlap risk with closely related skills'). Not 5 because 'implement cost-effective architectures' is broad enough to overlap with general cloud architecture or FinOps skills.

4 / 5

Total

12

/

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

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/database-cloud-optimization-cost-optimize/SKILL.md

Reviewed

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