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AF securing-s3-buckets

Create and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations. Use when the user wants to secure a new bucket, audit an existing bucket, fix a security finding, configure encryption, or enable logging and monitoring. Do NOT use for general S3 data operations, S3 Tables setup, or discovering existing data assets.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 1 836 tokens Open the sourceclawhub.ai↗ analyzed 22 h ago

Create and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations.

As a process F 50/100 · Will not run — References files that are not bundled: references/iam-permissions.md, references/workflows.md, references/audit-checklist.md

GeneratorAWSInfrastructureSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: references/iam-permissions.md, references/workflows.md, references/audit-checklist.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/iam-permissions.md
  • warning missing-ref reference to a missing file: references/workflows.md
  • warning missing-ref reference to a missing file: references/audit-checklist.md
  • warning missing-ref reference to a missing file: references/remediation.md
  • warning missing-ref reference to a missing file: references/encryption.md

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: references/iam-permissions.md, references/workflows.md, references/audit-checklist.md
  • 0Tools and files. 5 referenced file(s) missing: references/iam-permissions.md, references/workflows.md, references/audit-checklist.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 48 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1836 tokens
  • 100Running it twice. Mutating operations check current state

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 390: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.