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threat-modeling-with-aws-security-agent

Run an AWS Security Agent threat model review on spec/design documents. Use when the user asks to review a spec for security, run a threat model, check if a design introduces security risks, review requirements.md or design.md for security posture changes, or STRIDE analysis.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./plugins/aws-agents-for-devsecops/skills/threat-modeling-with-aws-security-agent/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

76%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 a lean, fully executable AWS CLI workflow with clear sequencing and good section organization. Its main weakness is the absence of validation checkpoints and error-recovery feedback loops for a batch operation that creates remote resources.

Suggestions

Add explicit validation after the zip upload and after create/start-threat-model-job (e.g., check the S3 PUT succeeded and confirm the returned IDs are non-empty before proceeding).

Include a feedback loop for the polling step: define what to do on a FAILED job status or stalled state, not only on COMPLETED.

Add a checkpoint confirming at least one spec file was uploaded before creating the threat model, to satisfy the 'At least one spec file is required' rule procedurally.

DimensionReasoningScore

Conciseness

Efficient and assumes Claude's competence (no explanation of S3, STRIDE, or the AWS CLI), with only minor trimmable phrasing such as 'Runtime varies with workspace size.'

4 / 5

Actionability

Provides fully executable, copy-paste-ready bash commands with a placeholder-resolution table and covers common cases like nextToken pagination, matching the highest anchor.

5 / 5

Workflow Clarity

The 11-step sequence and polling loop are clear, but this batch/remote operation creates S3 objects and threat-model jobs with no validation checkpoints or error-recovery feedback loops, so workflow_clarity is capped at 3 per the destructive/batch-operations rule.

3 / 5

Progressive Disclosure

Self-contained single-file content is well-organized into clear sections (Local state, Workflow, Findings presentation, Rules) with no nested references, though it is slightly longer than the simple-skill case that would score 5.

4 / 5

Total

16

/

20

Passed

Description

78%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 well-structured, explicitly covering both what the skill does and when to use it with concrete, natural trigger phrases. Its only gap is that it names a single core action rather than enumerating several specific capabilities.

DimensionReasoningScore

Specificity

Names the domain and one concrete action ('Run an AWS Security Agent threat model review on spec/design documents') but does not list multiple distinct actions, matching the anchor for domain plus 1-2 actions without comprehensive coverage.

3 / 5

Completeness

Explicitly answers both what (run a threat model review on spec/design documents) and when, with a concrete multi-trigger 'Use when the user asks to...' clause, matching the highest anchor.

5 / 5

Trigger Term Quality

Strong natural-phrase coverage including 'review a spec for security', 'run a threat model', 'security risks', 'STRIDE analysis', plus concrete file names (requirements.md, design.md), with only a few common variations missing.

4 / 5

Distinctiveness Conflict Risk

Clear niche (AWS Security Agent threat modeling with STRIDE) and distinct triggers make wrong-skill firing unlikely, with only minor overlap risk against general security-review skills.

4 / 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.

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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