SKILLEMALL.ai

BF byted-emr-skills

byted-emr-skills提供管理火山引擎EMR(火山引擎 E-MapReduce(简称“EMR”)是开源Hadoop生态的企业级大数据分析系统,完全兼容开源)的技能,包括管理EMR on ECS集群、EMR on VKE集群、EMR serverless队列、计算组、作业模板/实例、日志、监控并提供 EMR Agent 智能诊断与知识问答能力。当用户提及“EMR on ECS集群”、“EMR on VKE集群”、“Serverless 队列”、“Serverless 作业”、“SparkSQL/PrestoSQL/Ray/PySpark/SparkJar 作业”、“作业日志”、“作业监控”、“作业诊断”等需求时,应优先使用此技能。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 37 files · 1 script body ≈ 2 579 tokens Open the sourcegithub.com analyzed 2 d ago

byted-emr-skills提供管理火山引擎EMR(火山引擎 E-MapReduce(简称“EMR”)是开源Hadoop生态的企业级大数据分析系统,完全兼容开源)的技能,包括管理EMR on ECS集群、EMR on VKE集群、EMR serverless队列、计算组、作业模板/实例、日志、监控并提供 EMR…

As a process F 40/100 · Will not run — References files that are not bundled: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md, references/emr_on_ecs/group/emr_on_ecs_group_guide.md, assets/libs/python_serverless-1.*-py3-none-any.whl

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
83
Quality 40%
62
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md, references/emr_on_ecs/group/emr_on_ecs_group_guide.md, assets/libs/python_serverless-1.*-py3-none-any.whl
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 17

✓ No critical or high findings

Medium and low: 17
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:98
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:221
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:351
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:460
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:625
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application/emr_on_ecs_application_guide.md:93
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application/emr_on_ecs_application_guide.md:189
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application/emr_on_ecs_application_guide.md:323
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/application/emr_on_ecs_application_guide.md:432
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/cluster_group/emr_on_ecs_cluster_group_guide.md:436
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/cluster_group/emr_on_ecs_cluster_group_guide.md:506
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:135
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:247
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:342
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_on_ecs/operation/emr_on_ecs_operation_guide.md:107
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "RequestId": "2023…xxx",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_serverless/queue/emr_serverless_queue_guide.md:183
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "InstanceNo": "EMR-…878",
    quoted
  • low Secrets in code secret-high-entropy-token references/emr_serverless/queue/emr_serverless_queue_guide.md:247
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "InstanceNo": "EMR-…529",
    quoted

Files scanned: 37. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md
  • warning missing-ref reference to a missing file: references/emr_on_ecs/group/emr_on_ecs_group_guide.md
  • warning missing-ref reference to a missing file: assets/libs/python_serverless-1.*-py3-none-any.whl
  • warning missing-ref reference to a missing file: assets/emr-serverless-job-template.json

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md, references/emr_on_ecs/group/emr_on_ecs_group_guide.md, assets/libs/python_serverless-1.*-py3-none-any.whl
  • 0Tools and files. 4 referenced file(s) missing: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md, references/emr_on_ecs/group/emr_on_ecs_group_guide.md, assets/libs/python_serverless-1.*-py3-none-any.whl
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 151 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2579 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 323: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 151 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.