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bedrock-agentcore

Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.

Quality

78%

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 ./.claude/skills/bedrock-agentcore/SKILL.md

The canonical home for this skill is bedrock-agentcore in fernandezbaptiste/Skrillz

SKILL.md
Quality
Evals
Security

Quality

Content

71%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.

Highly actionable, copy-paste-ready content with a clear validated Quick Start workflow, but it reads as a monolithic reference: the referenced bundle files are missing entirely, reference-grade material (client tables, IAM policy) is inlined, and marketing-style padding dilutes token efficiency.

Suggestions

Create the referenced files (references/gateway-configuration.md, references/identity-integration.md, references/troubleshooting.md) or remove the References section — the paths are currently dangling.

Move the Boto3 Client Reference tables and the IAM policy JSON into references/ files, keeping SKILL.md as a concise overview with per-service quick snippets.

Trim the 'Key Principles' / 'Quality Targets' marketing lists and the duplicated agent entry-point example to reduce token cost, and add an explicit 'if deploy/test fails' checkpoint after the local-test step in the Quick Start.

DimensionReasoningScore

Conciseness

The body is mostly efficient code and tables, but includes unnecessary padding: the marketing-style 'Key Principles (validated by AWS December 2025)' list, 'Quality Targets' fluff, a pinned model ID ('anthropic.claude-sonnet-4-20250514-v1:0') and dated claims, and an entry-point example duplicated nearly verbatim between 'Agent Entry Point Structure' and Quick Start Step 1.

3 / 5

Actionability

The Quick Start is fully copy-paste ready (agent file, `agentcore configure`, local curl test, `agentcore deploy`, programmatic `invoke_agent_runtime`), error handling is concrete per ClientError code, the IAM policy JSON is complete, and all six services have fully parameterized boto3 snippets covering the common cases.

5 / 5

Workflow Clarity

The Quick Start is a clearly sequenced three-step path with a local-test validation checkpoint before deploy and a post-deploy invoke test, and the Error Handling section gives recovery direction per error code. Minor gap: no explicit feedback loop for a failed deploy or configuration step.

4 / 5

Progressive Disclosure

Section structure and headers are good and the References section is clearly signaled, but the three referenced files (references/gateway-configuration.md, references/identity-integration.md, references/troubleshooting.md) do not exist in the bundle — the references are dangling — and ~520 lines of boto3 method tables, IAM policy JSON, and six detailed service sections are inlined monolithically instead of being split into those files.

3 / 5

Total

15

/

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.

A strong description with an explicit 'Use when' clause, clear what/when coverage, and a well-scoped niche. Main weaknesses are category-level rather than concrete action verbs and a slightly circular trigger phrase.

DimensionReasoningScore

Specificity

The description names the domain ("Amazon Bedrock AgentCore platform") and the broad actions "building, deploying, and operating production AI agents", plus enumerated services ("Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services"), but the verbs are category-level rather than concrete capabilities — matching the 'names domain and 1-2 concrete actions, but not comprehensive' anchor.

3 / 5

Completeness

It clearly answers both 'what' ("platform for building, deploying, and operating production AI agents" with five covered services) and 'when' ("Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services") with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Natural phrases users would say are present ("building Bedrock agents", "deploying AI agents to production"), but "integrating with AgentCore services" is circular since naming AgentCore already triggers the skill, and common variations like 'hosting agents' or 'agent runtime' are missing.

4 / 5

Distinctiveness Conflict Risk

"Bedrock AgentCore" is a distinct product niche, but the trigger "building Bedrock agents" could also match a standard Bedrock Agents skill (the body itself distinguishes 'bedrock-agent'), creating minor overlap risk with closely related sibling skills.

4 / 5

Total

16

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (523 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

13

/

16

Passed

Repository

fernandezbaptiste/Skrillz

Path

.claude/skills/bedrock-agentcore/SKILL.md

Reviewed

Table of Contents

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