BF vibelock
VibeLock - AI 开发者安全商业化 Skill。覆盖全语言全架构：代码加密/混淆/打包安装包/授权分发/防破解/攻防测试引导，以及 VibeLock 平台协同（授权 API 激活与心跳、Ed25519 验签、防篡改存储、到期提醒续费、遥测上报、Open API 自动化维护）。提供 A/B/C/D 四级保护方案（方案 D 极致保护全开源免费，AI 自动生成 C 代码），纯对话引导零本地依赖。当用户提到加密、上锁、打包、授权、防破解、安全加固、安装包、license、activation、code protection、obfuscation、packaging、anti-debug 等关键词时使用。
VibeLock - AI 开发者安全商业化 Skill。覆盖全语言全架构：代码加密/混淆/打包安装包/授权分发/防破解/攻防测试引导，以及 VibeLock 平台协同（授权 API 激活与心跳、Ed25519 验签、防篡改存储、到期提醒续费、遥测上报、Open API 自动化维护）。提供 A/B/C/D…
As a process F 33/100 · Will not run — 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 8. 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") - warning
body-longSKILL.md body ≈ 19694 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 33/100
- 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
- 10Execution cost. Instruction body is 19694 tokens: crowds the task out of the window
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 11 mutating operations with no state check
- 40Consistency. Frontmatter name (vibelock) differs from the folder (vibelock-skill)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 74 steps
- low 11 top-level sections: this looks like several domains in one skill
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
- -2100 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 307: enough signal without eating the budget
- +4Structure: 92 headings
- +3Step-by-step instructions: 74 items
- +4Has examples (88 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.