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agents-build

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

77

Quality

96%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

92%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.

A well-structured router skill: highly actionable, clearly sequenced with explicit validation and recovery checkpoints, and exemplary progressive disclosure with a complete routing table to real one-level-deep references. The only weakness is mild redundancy between the "When to use" list, the routing table, and the frontmatter triggers.

Suggestions

Collapse the 'When to use' bullet list into the Step 2 routing table — they enumerate the same capability intents twice; the table alone (plus the frontmatter triggers) is sufficient for activation.

The pre-flight name validation table duplicates the same limits across two rows (agent vs. ten other resources); a single row or a note that limits are uniform except where noted would trim tokens.

DimensionReasoningScore

Conciseness

The body is dense and router-like with no explanation of concepts Claude already knows, but the "When to use" bullet list and the Step 2 routing table enumerate the same capability intents twice, which could be trimmed. Fits 'efficient; minor instances of over-explanation that could be trimmed' rather than level 5's 'every token earns its place', and is clearly above level 3 since there is no padded or unnecessary conceptual explanation.

4 / 5

Actionability

Concrete throughout: executable commands ("Run `agentcore --version`"), exact file paths (`agentcore/agentcore.json`, `app/<AgentName>/model/load.py`), a copy-paste-ready code snippet with three real model_ids, and a character-count validation table with a scripted pushback line. Matches 'fully executable; copy-paste ready code or commands; specific examples cover the common cases'.

5 / 5

Workflow Clarity

Steps 0–2 are clearly sequenced with explicit validation checkpoints and recovery loops: version check with a recovery instruction ("If older: run `agentcore update`"), wrong-directory detection (search parents up to 3 levels with a scripted reply), a disambiguation gate before routing, and a pre-flight name validation ("Never run the command with an invalid name"). The destructive teardown workflow includes preview (`agentcore deploy --diff`), pending-removal status checks, and irreversible-data-loss warnings in its reference, so the destructive-operation cap does not apply.

5 / 5

Progressive Disclosure

SKILL.md is a clean router: an intent-to-reference table linking all 11 references (all verified to exist), instructions to read the matching file and follow its Process 'step by step — do not summarize', and only cross-cutting content (model change, pre-flight name validation) kept inline. References cross-link only siblings (one level deep, clearly signaled), matching the 'clear overview with well-signaled one-level-deep references' anchor.

5 / 5

Total

19

/

20

Passed

Description

100%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.

An exemplary router-style description: comprehensive concrete capabilities, an extensive natural-language trigger list including error phrasings and synonyms, and explicit boundary routing to four neighboring skills. The only minor cost is length (~180 words), but every phrase is a functional trigger rather than padding.

DimensionReasoningScore

Specificity

"Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal" names ten concrete capability areas, matching the anchor 'lists multiple specific concrete actions; comprehensive coverage'. It is not level 4 because the coverage is comprehensive rather than having minor gaps.

5 / 5

Completeness

It explicitly answers both what ("extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal") and when ("Triggers: 'add memory', ..."), exactly matching the anchor 'clearly and explicitly answers both what AND when with concrete trigger phrases'. Not level 4 because the when-clause is fully explicit, not just present.

5 / 5

Trigger Term Quality

The Triggers list covers natural user phrasings including synonyms and failure-mode phrasings ("add memory", "remember across sessions", "can't reach from VPC", "orchestrator not delegating", "specialist not called", "wire payments plugin", "integrate x402 payments with the agent I'm building"), matching the comprehensive synonym coverage anchor. It exceeds level 4 because essentially no common variation is missing.

5 / 5

Distinctiveness Conflict Risk

The niche is clear (extending an existing agent project) and boundary routing is explicit: "External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay." This matches the 'clear niche with distinct triggers; minimal conflict risk' anchor; the neighboring agents are explicitly disambiguated.

5 / 5

Total

20

/

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
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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