AC use-self-improving
从本机已经整理好的项目、文件、知识和经验中查找旧信息，用户无需点名；收到目标和对象明确的任务时，会先按任务对象或领域、目标或动作、关键问题轻查可借鉴的相关经验。回答或开始工作可能受项目位置、文件总结、历史决定、稳定规则或相似故障经验影响时会自动只读查询；准备通过外部工具执行发送、发布、修改、删除、部署、授权、审批等操作，或外部工具结果异常、准备重试时，也会按工具、动作和关键对象轻查相关经验。适用于明确任务、“这个项目在哪、负责什么”“为什么以前这么做”“类似故障怎么处理”等自然问题及有外部影响的工具操作；会先用导航缩小候选，再核对原始文件或当前现场。找不到、证据不足或存在多个对象时会用普通话说明；全程只查不写，不新增、修改或删除知识库内容。
从本机已经整理好的项目、文件、知识和经验中查找旧信息，用户无需点名；收到目标和对象明确的任务时，会先按任务对象或领域、目标或动作、关键问题轻查可借鉴的相关经验。回答或开始工作可能受项目位置、文件总结、历史决定、稳定规则或相似故障经验影响时会自动只读查询；准备通过外部工具执行发送、发布、修改、删除、部署、授权、审批等操…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Risky intent
intent-offensive-securityskill-card.md:44Offensive-security / dual-use content (legitimate for authorised testing; review intended use)**Other Properties Related to Output:** [May consult local ~/.agent-knowledge Markdown and CSV records; the inspected artifact describes no writes, network behavior, scripts, deletion, or privilege es
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
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. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 581 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
- +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
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 324: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 19 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.