CD gbrain-guide
指导 agent 规范操作 GBrain 本地知识库（经 MCP 接入 WorkBuddy）。涵盖 GBrain 概念与安装形态、分类规范（路径前缀→类型）、资料入库、链接/标签关联、schema pack 切换、健康度治理、100G 大库分批处理与 Obsidian 联动。当涉及"把资料存进 GBrain / 用 GBrain 检索 / 整理知识库 / gbrain MCP 调用"时加载。
指导 agent 规范操作 GBrain 本地知识库（经 MCP 接入 WorkBuddy）。涵盖 GBrain 概念与安装形态、分类规范（路径前缀→类型）、资料入库、链接/标签关联、schema pack 切换、健康度治理、100G 大库分批处理与 Obsidian 联动。当涉及"把资料存进 GBrain / 用…
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Dangerous commands
cmd-persistenceSKILL.md:123Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)- 登录自启（无黑框）：`C:\Users\<用户名>\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Startup\GBrainServe.vbs`，内容 `ws.Run "...\gbrain-serve.bat", 0, False`（0=隐藏窗口）。**该 vbs 在 Windows 登录时由系统执行，不经过 WorkBuddy
quoted
Files scanned: 2. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 45/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 56 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1610 tokens
- 100Progress reporting. Reports progress
- low 12 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
- +4No input/output examples
- -4Absolute local paths (C:\Users, /home/…): not portable
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 197: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 56 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.