SKILLEMALL.ai

BF itsm-ticket-analyzer

嘉为蓝鲸 ITSM 工单分析技能。支持多流程工单数据读取、字段智能映射、新工单处理建议、趋势分析、高频问题识别、SLA 监控。Use when: 需要分析 ITSM 工单数据、为新工单提供处理建议、生成工单日报/周报、识别高频问题、监控 SLA 超时风险。支持不同流程的工单(字段自动适配)。

ClawHub Agent Skills author: MichaelJochen v0.1.0 MIT-0 2 files body ≈ 1 140 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/config.json, references/blueking-api.md, references/ticket-classification.md

AnalyzerCustomer supportInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/config.json, references/blueking-api.md, references/ticket-classification.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
This is a copy of a skill from another catalog; the rating counts the canonical one: itsm-ticket-analyzer (ClawHub)

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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 嘉为蓝鲸 ITSM 工单分析技能。支持多流程工单数据读取、字段智能映射、新工单处理建议、趋势分析、高频问题识别、SLA 监控。Use… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: references/config.json
  • warning missing-ref reference to a missing file: references/blueking-api.md
  • warning missing-ref reference to a missing file: references/ticket-classification.md
  • warning missing-ref reference to a missing file: references/sla-policy.md
  • warning missing-ref reference to a missing file: references/webhook-config.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/config.json, references/blueking-api.md, references/ticket-classification.md
  • 0Tools and files. 5 referenced file(s) missing: references/config.json, references/blueking-api.md, references/ticket-classification.md
  • 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
  • 40Consistency. Frontmatter name (itsm-ticket-analyzer) differs from the folder (openclaw-itsm-skill)
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 1140 tokens
  • 100Running it twice. No mutating operations

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
  • -217 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 146: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a coherent ITSM ticket analysis guide, with the main caution being optional sharing of potentially sensitive ticket reports through Enterprise WeChat.
LLM: benign (high) · VirusTotal: · 29 May 2026