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BF aws-database

Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures for relational (Aurora, DSQL, RDS), key-value (DynamoDB), wide-column (Keyspaces), document (DocumentDB), graph (Neptune), time-series (Timestream), and in-memory/caching (ElastiCache, MemoryDB) workloads. Activates when a user describes building an application on AWS that will store, retrieve, or manage data, even if they do not mention 'database' explicitly.

ClawHub Agent Skills author: Amazon Web Services 1 file body ≈ 1 632 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific…

As a process F 38/100 · Will not run — References files that are not bundled: references/{sub-skill-id}.md, assets/{filename}, assets/aurora-dsql.md

ProcedureAWSPostgreSQLMySQLInfrastructuretype 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
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/{sub-skill-id}.md, assets/{filename}, assets/aurora-dsql.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/{sub-skill-id}.md
  • warning missing-ref reference to a missing file: assets/{filename}
  • warning missing-ref reference to a missing file: assets/aurora-dsql.md
  • warning missing-ref reference to a missing file: assets/aurora-mysql.md
  • warning missing-ref reference to a missing file: assets/aurora-postgresql.md
  • warning missing-ref reference to a missing file: assets/documentdb.md
  • warning missing-ref reference to a missing file: assets/dynamodb.md
  • warning missing-ref reference to a missing file: assets/elasticache.md
  • warning missing-ref reference to a missing file: assets/keyspaces.md
  • warning missing-ref reference to a missing file: assets/memorydb.md
  • warning missing-ref reference to a missing file: assets/neptune.md
  • warning missing-ref reference to a missing file: assets/odb-aws.md
  • warning missing-ref reference to a missing file: assets/rds-db2.md
  • warning missing-ref reference to a missing file: assets/rds-mariadb.md
  • warning missing-ref reference to a missing file: assets/rds-mysql.md
  • warning missing-ref reference to a missing file: assets/rds-oracle.md
  • warning missing-ref reference to a missing file: assets/rds-postgresql.md
  • warning missing-ref reference to a missing file: assets/rds-sqlserver.md
  • warning missing-ref reference to a missing file: assets/timestream.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/{sub-skill-id}.md, assets/{filename}, assets/aurora-dsql.md
  • 0Tools and files. 19 referenced file(s) missing: references/{sub-skill-id}.md, assets/{filename}, assets/aurora-dsql.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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1632 tokens

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 652: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 7 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.