AC my-work-profile-cross-agent
我的工作画像（跨agent抽练和应用）。让agent抽练和应用对我的理解，包括我的岗位职责、我负责业务领域的关键知识。让agent更懂我（而不是agent只懂自己的定位），结合两方面的信息，进行互补。本地跨agent共享存储，切换agent软件画像不丢失。用户主动输出知识或正常对话解决问题均走同一套逻辑：加载知识库让回答更专业，同时从对话中提取新知识。
我的工作画像（跨agent抽练和应用）。让agent抽练和应用对我的理解，包括我的岗位职责、我负责业务领域的关键知识。让agent更懂我（而不是agent只懂自己的定位），结合两方面的信息，进行互补。本地跨agent共享存储，切换agent软件画像不丢失。用户主动输出知识或正常对话解决问题均走同一套逻辑：加载知识库让…
As a process C 53/100 · Has gaps — 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.
- 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: 4. 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1123 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
- -216 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 177: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.