BD mindvault
思维永生 · MindVault — Agent 对话归档与思考辅助系统。 提供对话备份(JSONL)+规则萃取+项目快照三层记忆能力,以及DRAS-V五步思考辅助协议。 5000+轮实战验证,跨平台(OpenClaw/Marvis/CherryStudio/Coze)。所有数据本地存储,不上传云端。 Use when user says 对话备份、对话归档、归档对话、执行进化引擎、生成项目快照、走流程、DRASV。
思维永生 · MindVault — Agent 对话归档与思考辅助系统。 提供对话备份(JSONL)+规则萃取+项目快照三层记忆能力,以及DRAS-V五步思考辅助协议。 5000+轮实战验证,跨平台(OpenClaw/Marvis/CherryStudio/Coze)。所有数据本地存储,不上传云端。 Use…
As a process D 49/100 · 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 files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.
Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.
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 · 2
✓ No critical or high findings
Medium and low: 2
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medium Obfuscation
obf-base64-blobreadme1.md:6Long base64-looking blobRese…e1: cPCU…3Pv+XdjK…l5l+AGEF…pSr
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medium Obfuscation
obf-base64-blobreadme1.md:9Long base64-looking blobRese…e2: cPCU…3Pv+XdjK…l5l+AGEF…pSr
Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "tested" - note
frontmatter-keyunknown frontmatter key "AIGC"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (mindvault) differs from the folder (mindvault-agent-memory)
- 100Tools and files. No external tools needed
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 809 tokens
- 100Running it twice. No mutating operations
- 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
- +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
- +2Single-language instructions
- +3Description length 210: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (1 code blocks)
- +3All 3 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.