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chatting-with-aws-devops-agent

Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.

72

Quality

87%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 body is highly actionable with executable tool and CLI examples and a well-structured, appropriately self-contained layout. It loses a little on conciseness through light repetition and on workflow/progressive-disclosure through narratively-described escalation criteria and the absence of file-based detail references.

Suggestions

Tighten the escalation guidance into explicit condition→action checkpoints (e.g., 'IF agent suggests deeper analysis → switch to investigating-incidents-with-aws-devops-agent skill') instead of repeating it across the intro, phrasing table, and its own section.

Remove editorial padding such as 'This is the killer feature — the DevOps Agent knows your AWS cloud; you know the user's local workspace' to improve token efficiency.

Consider consolidating the 'Phrasing matters' table and 'Escalating to investigation' section so the response-time tiers and escalation triggers are stated once, clearly.

DimensionReasoningScore

Conciseness

Mostly efficient with concrete code blocks and minimal preamble, but a few padded phrases ("This is the killer feature — the DevOps Agent knows your AWS cloud; you know the user's local workspace") and some repetition of escalation guidance across the intro, phrasing table, and dedicated section could be trimmed.

4 / 5

Actionability

Provides fully executable, copy-paste-ready guidance across all paths — primary `aws_devops_agent__chat(message=...)`, follow-up `send_message` with execution_id, and a complete `aws devops-agent` CLI fallback with every required flag — covering the common cases.

5 / 5

Workflow Clarity

Clear sequencing from primary chat to follow-ups, escalation, and fallback, with a numbered retry-then-fallback sequence for timeouts; the destructive/batch validation cap does not apply here, but escalation criteria are described narratively rather than as crisp condition→action checkpoints, leaving minor gaps.

4 / 5

Progressive Disclosure

Well-organized into clearly headed sections with no inlined content that belongs in separate files and a clean one-level cross-skill pointer to `investigating-incidents-with-aws-devops-agent`; no bundle files exist, and the body is over 50 lines, so the simple-skill 5-anchor does not strictly apply, leaving minor organization gaps.

4 / 5

Total

17

/

20

Passed

Description

92%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, specific description that clearly states capabilities, use cases, and trigger terms while distinguishing itself from the deeper investigation skill. Voice is correctly third-person throughout. Only minor room for improvement in trigger-term synonym coverage.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics" — giving comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Explicitly answers both what ("fast, conversational analysis with the AWS DevOps Agent" plus the enumerated use cases) and when ("Use for ...", "anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation", plus trigger words) with concrete trigger phrases.

5 / 5

Trigger Term Quality

"Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if" provides good natural keyword coverage a user would say, but is a touch short on synonyms/variations to be fully comprehensive.

4 / 5

Distinctiveness Conflict Risk

Scoped to a distinct niche (conversational AWS DevOps analysis) and explicitly contrasted against the deep-investigation alternative ("rather than a 5-8 minute deep investigation"), giving minimal overlap risk with other skills.

5 / 5

Total

19

/

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
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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