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。
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
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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-tokenreferences/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:98High-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-tokenreferences/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:221High-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-tokenreferences/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:351High-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-tokenreferences/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:460High-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-tokenreferences/emr_on_ecs/application_config/emr_on_ecs_application_config_guide.md:625High-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-tokenreferences/emr_on_ecs/application/emr_on_ecs_application_guide.md:93High-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-tokenreferences/emr_on_ecs/application/emr_on_ecs_application_guide.md:189High-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-tokenreferences/emr_on_ecs/application/emr_on_ecs_application_guide.md:323High-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-tokenreferences/emr_on_ecs/application/emr_on_ecs_application_guide.md:432High-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-tokenreferences/emr_on_ecs/cluster_group/emr_on_ecs_cluster_group_guide.md:436High-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-tokenreferences/emr_on_ecs/cluster_group/emr_on_ecs_cluster_group_guide.md:506High-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-tokenreferences/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:135High-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-tokenreferences/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:247High-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-tokenreferences/emr_on_ecs/cluster/emr_on_ecs_cluster_guide.md:342High-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-tokenreferences/emr_on_ecs/operation/emr_on_ecs_operation_guide.md:107High-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-tokenreferences/emr_serverless/queue/emr_serverless_queue_guide.md:183High-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-tokenreferences/emr_serverless/queue/emr_serverless_queue_guide.md:247High-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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/emr_on_ecs/node_group/emr_on_ecs_node_group_guide.md - warning
missing-refreference to a missing file: references/emr_on_ecs/group/emr_on_ecs_group_guide.md - warning
missing-refreference to a missing file: assets/libs/python_serverless-1.*-py3-none-any.whl - warning
missing-refreference to a missing file: assets/emr-serverless-job-template.json
Process rating: all ten parameters 40/100
- 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.