SKILLEMALL.ai

BF waf

Configures AWS WAF to filter web traffic: creating web access control lists (web ACLs) on CloudFront, Application Load Balancers, API Gateway, and AppSync; AWS Managed Rules tuned in Count mode; rate-based rules for HTTP floods; IP set and geographic match rules; Bot Control (Common and Targeted); turning bot labels into a confidence signal; stripping spoofed inbound x-amzn-waf-* headers; recovering the real client IP behind a CDN; Fraud Control (account takeover and account creation fraud prevention); and logging and request sampling. Use when the user wants to protect a web application or API from common exploits, bots, credential stuffing, fake-account creation, or HTTP floods at the application layer (layer 7). Routes to the right per-task procedure in references. Do NOT use for L3/L4 DDoS protection (shieldadvanced skill), multi-account WAF rollout (firewallmanager skill), CloudFront configuration (cloudfront skill), or Route 53 health checks or records (route53 skill).

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 1 946 tokens Open the sourceclawhub.ai analyzed 34 h ago

Configures AWS WAF to filter web traffic: creating web access control lists (web ACLs) on CloudFront, Application Load Balancers, API Gateway, and AppSync…

As a process F 49/100 · Will not run — References files that are not bundled: references/creating-a-web-acl-and-associating-it-with-a-resource.md, references/setting-up-logging-and-request-sampling.md, references/adding-managed-rules-and-tuning-with-count-mode.md

ProcedureAWSInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/creating-a-web-acl-and-associating-it-with-a-resource.md, references/setting-up-logging-and-request-sampling.md, references/adding-managed-rules-and-tuning-with-count-mode.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/creating-a-web-acl-and-associating-it-with-a-resource.md
  • warning missing-ref reference to a missing file: references/setting-up-logging-and-request-sampling.md
  • warning missing-ref reference to a missing file: references/adding-managed-rules-and-tuning-with-count-mode.md
  • warning missing-ref reference to a missing file: references/adding-rate-based-rules.md
  • warning missing-ref reference to a missing file: references/using-ip-sets-and-geographic-match-rules.md
  • warning missing-ref reference to a missing file: references/protecting-against-bots-with-bot-control.md
  • warning missing-ref reference to a missing file: references/turning-bot-control-labels-into-a-confidence-signal.md
  • warning missing-ref reference to a missing file: references/forwarding-signals-with-dynamic-label-interpolation.md
  • warning missing-ref reference to a missing file: references/adaptive-mitigation-playbook-for-forwarded-signals.md
  • warning missing-ref reference to a missing file: references/stripping-inbound-waf-headers-before-trusting-them.md
  • warning missing-ref reference to a missing file: references/recovering-the-real-client-ip-behind-a-cdn.md
  • warning missing-ref reference to a missing file: references/protecting-logins-and-signups-with-fraud-control.md
  • warning missing-ref reference to a missing file: references/seeing-and-managing-ai-crawler-traffic.md

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/creating-a-web-acl-and-associating-it-with-a-resource.md, references/setting-up-logging-and-request-sampling.md, references/adding-managed-rules-and-tuning-with-count-mode.md
  • 0Tools and files. 13 referenced file(s) missing: references/creating-a-web-acl-and-associating-it-with-a-resource.md, references/setting-up-logging-and-request-sampling.md, references/adding-managed-rules-and-tuning-with-count-mode.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 16 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 1946 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +3Description length 989: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.