AD yotta-recon
元析 —— 跨智能体的网络侦察技能：零依赖自研端口 / 服务 / 版本指纹探测（不依赖 nmap），为安全测试与资产盘点提供侦察能力，内建授权纪律（Scope Guard）。触发：扫描网络 / 端口扫描 / 服务识别 / 版本指纹 / 资产盘点 / CDN 溯源 / 安全测试侦察阶段。边界：仅扫描已获明确授权的目标（红线：授权纪律）；只读探测，不主动攻击、不渗漏、不产生破坏；不用于非法入侵。
元析 —— 跨智能体的网络侦察技能：零依赖自研端口 / 服务 / 版本指纹探测（不依赖 nmap），为安全测试与资产盘点提供侦察能力，内建授权纪律（Scope Guard）。触发：扫描网络 / 端口扫描 / 服务识别 / 版本指纹 / 资产盘点 / CDN 溯源 /…
As a process D 46/100 · 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.
- 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: 14. 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 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 619 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
- -31 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 197: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.