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BD flink-kafka-dual-write

为 bethune 项目生成新的 Flink Kafka 到 Hive 和 StarRocks 双写监控任务，参考 Bus_Search_ReplacePrice_KafkaToStarRock_34 及相邻的 33/35/36 模式，自动产出 Job 类、MessageModel、PO、4 个 config.properties 更新，并在可行时执行编译校验。用于“参考任务34写一个新任务”“按任务33/34/35/36模式新增 Kafka 任务”“生成类似 ReplacePrice 的埋点监控任务”等请求。

ClawHub Agent Skills author: printsky v1.0.1 MIT-0 4 files body ≈ 918 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
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.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:3
    High-entropy token-like string (may be an id, hash or a credential)
    description: 为 bethune 项目生成新的 Flink Kafka 到 Hive 和 StarRocks 双写监控任务，参考 Bus_…_34 及相邻的 33/35/36 模式，自动产出 Job 类、MessageModel、PO、4 个 config.properties 更新，并在可行时执行编译校验。用于“参考
  • low Secrets in code secret-high-entropy-token SKILL.md:121
    High-entropy token-like string (may be an id, hash or a credential)
    | 33 | Bus_…_33 | skynet_log_Public_SFC_ABTest_Monitor | BUS_Public_SFC_ABTest_Monitor | 无 | bus_sfc_abtest_monitor |
  • low Secrets in code secret-high-entropy-token SKILL.md:122
    High-entropy token-like string (may be an id, hash or a credential)
    | 34 | Bus_…_34 | skynet_log_Public_SFC_Replace_Price_Monitor | BUS_Public_SFC_Replace_Price_Monitor | 无(ReferPriceBean嵌套) | bus_sfc_replace_price_monitor |
  • low Secrets in code secret-high-entropy-token SKILL.md:123
    High-entropy token-like string (may be an id, hash or a credential)
    | 35 | Bus_…_35 | skyn…ter | BUS_PUBLIC_CARPOOL_PRICING_CallEnter | fullPriceList | bus_carpool_calenter_monitor |
  • low Secrets in code secret-high-entropy-token SKILL.md:124
    High-entropy token-like string (may be an id, hash or a credential)
    | 36 | Bus_…_36 | skyn…ics | BUS_METRIC_COLLECTION | datas | bus_metric_collection_monitor |

Files scanned: 4. 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")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (flink-kafka-dual-write) differs from the folder (flink-kafka-dual-write1)
  • 100Tools and files. No external tools needed
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 918 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a focused code-generation skill for a specific Bethune Flink/Kafka workflow, with disclosed repository edits and no hidden execution or data exfiltration behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026