CF vector-mind-map-fusion
L1→L2→L3 向量记忆融合系统。用于构建、查询和管理语义记忆图谱。当用户需要提取、加工、记忆、或检索结构化知识时触发。具体场景：(1) 用户说"记住"、"存入记忆"、"这个很重要" → L1 提取；(2) 用户问"之前有没有"、"有没有记录过"、"我的记忆里" → L2+L3 查询；(3) 用户要求"整理一下"、"归类"、"形成知识体系" → L2 整理；(4) 用户说"搜索记忆"、"查找相关内容"、"语义搜索" → L3 召回；(5) 主动记忆扫描、增量更新、跨 session 知识关联时也触发。
As a process F 33/100 · Will not run — weak spots: steps, result and completion, when it triggers
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
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
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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 · 3
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high Dangerous commands
cmd-pipe-to-shellREADME.md:80Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://ollama.com/install.sh | sh
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high Dangerous commands
cmd-pipe-to-shellSKILL.md:83Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://ollama.com/install.sh | sh
Medium and low: 1
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low Exfiltration
read-dotenvstart.sh:16Reads a .env fileexport $(cat .env | grep -v '^#' | xargs)
Files scanned: 39. 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 33/100
- 0Steps. Prose only: no discrete steps
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1149 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- -45 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 254: enough signal without eating the budget
- +4Structure: 15 headings
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.