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aws-serverless

Proper Lambda function structure with error handling

50

Quality

55%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/aws-serverless/SKILL.md

The canonical home for this skill is aws-serverless in sickn33/agentic-awesome-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 content is a code-forward pattern catalog with reasonable structure, but several code blocks are truncated or malformed and there are no validation/verification steps for the batch and destructive operations covered. Progressive disclosure is weak because everything is inlined into one file with no references.

Suggestions

Fix the malformed and truncated code blocks: complete the Python handler ('# Parse i'), the get.js handler ('const item ='), and the Python SQS handler ('batch_ite'), and remove empty/duplicated language fences.

Rebuild the Sharp Edges table so each row carries a real issue, severity, and concrete solution instead of repeated 'Issue' placeholders and heading fragments.

Add validation/verification checkpoints for batch and destructive operations (e.g. verify partial-batch failure reporting, confirm DLQ redrive behavior) to raise workflow clarity, and move long code examples into reference files with one-level-deep links.

DimensionReasoningScore

Conciseness

The body is mostly code-forward and assumes Claude's competence with little concept padding, though duplicated language tags (e.g. an empty ```python block immediately followed by ```javascript) and stub boilerplate ('This skill is applicable to execute the workflow...') waste some tokens. It is efficient but has minor trimming opportunities, matching a 4 rather than the lean 5.

4 / 5

Actionability

Several blocks are real and executable (Node handler, SQS processor, SAM template), but multiple code blocks are truncated and incomplete such as '# Parse i', 'const item =', and 'batch_ite'. This is 'concrete guidance but incomplete, missing key details', not the mostly-complete 4.

3 / 5

Workflow Clarity

The document is a pattern catalog with no multi-step workflow or validation checkpoints, and batch/destructive contexts (DLQ redrive, partial-batch failures) lack verification guidance, capping workflow_clarity at 3 per the rubric. It is above a 2 because sections are sequenced and labeled.

3 / 5

Progressive Disclosure

It is a single monolithic SKILL.md with clear section headers (Patterns, Anti-Patterns, Sharp Edges) but no bundle files and all long code inlined that could live in separate references. This matches 'some structure but could be better organized' rather than the well-split 4.

3 / 5

Total

13

/

20

Passed

Description

53%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 domain-specific and clear about the 'what' but omits any explicit 'when to use' trigger guidance, which caps completeness. Trigger keyword coverage is adequate but lacks synonyms and concrete use-case phrases.

Suggestions

Add a 'Use when...' clause with concrete trigger phrases, e.g. 'Use when implementing AWS Lambda handlers in Node.js or Python, including API Gateway, SQS, and scheduled-task invocations.'

Expand the action list beyond 'structure' and 'error handling' to enumerate the concrete capabilities (handler scaffolding, error handling, cold-start optimization, partial-batch failure handling).

Include natural synonyms and runtime keywords (AWS, serverless, Node.js, Python, SAM) to improve trigger-term coverage.

DimensionReasoningScore

Specificity

"Proper Lambda function structure with error handling" names the domain (Lambda function structure) and one concrete action (error handling), matching the anchor for 1-2 concrete actions that are not comprehensive. It does not list several specific actions, so it is not a 4.

3 / 5

Completeness

It gives a clear 'what' (Lambda function structure with error handling) but has no 'Use when...' or equivalent 'when' clause, and the rubric caps completeness at 3 when trigger guidance is missing. It is not a 2 because the 'what' is clear rather than vague.

3 / 5

Trigger Term Quality

"Lambda function structure" and "error handling" include the natural keyword 'Lambda' a user would say, but miss common synonyms and variations like AWS, serverless, Node.js, Python. This fits 'some relevant keywords but missing common variations' rather than the comprehensive 4.

3 / 5

Distinctiveness Conflict Risk

The phrase is specific to AWS Lambda handlers, a fairly clear niche with only minor overlap risk against general serverless or infrastructure skills. It is not a 5 because 'error handling' is generic and lacks fully distinct trigger phrases.

4 / 5

Total

13

/

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.

Validation15 / 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
Reviewed

Table of Contents

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