BD skill_gap_diagnosis
業務缺口診斷 Skill。整合業績、競賽、榮譽、續保率、客戶增長、技能短板等多維數據，統一換算為保障保費口徑，計算缺口金額、需成交件數、緊急度/容易度標籤，按優先級排序，輸出多維度診斷結論。不輸出行動建議。在用戶表達「診斷」、「分析」、「整體情況」、「缺口」、「進度」、「還差多少」或同時詢問多個維度業績時觸發。禁止在單一指標查詢、單一排名查詢、閒聊、意圖不明時觸發。
業務缺口診斷…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (skill_gap_diagnosis) differs from the folder (skill-gap-diagnosis)
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 470 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 184: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 23 items
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: suspicious
The skill is mostly a disclosed insurance performance diagnostic tool, but it repeatedly contradicts its no-advice promise by generating sales and follow-up recommendations.
LLM: suspicious (high) · 16 Jun 2026