SKILLEMALL.ai
GitHub ↗ RU Sign in

BD Lingxi-MindVault 灵曦记忆系统

自动记忆提炼 & 写入飞书知识库。定时扫描 OpenClaw 会话文件，自动提炼有价值的记忆，写入飞书多维表格/云文档知识库。

ClawHub Agent Skills author: Lingxi(灵曦) v1.1.15 MIT-0 6 files · 2 scripts body ≈ 2 127 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
97
Quality 40%
63
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv README.md:122
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv README.md:129
    Reads a .env file
    */5 * * * * cd /path/to/lingxi-memory && source .env && bash scripts/session_watch.sh
  • low Dangerous commands cmd-cron-mention SKILL.md:217
    Mentions editing / listing crontab
    # 编辑 crontab: crontab -e

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "required_env"
  • note frontmatter-key unknown frontmatter key "optional_env"
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 39/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (Lingxi-MindVault 灵曦记忆系统) differs from the folder (lingxi-memory)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 2127 tokens
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 tags): a typed call is more reliable

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)
  • +3Description length 63: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (5 code blocks)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This skill is transparent about being a Feishu memory extractor, but it needs Review because it can repeatedly read private OpenClaw chat logs and store extracted content in Feishu.
LLM: suspicious (high) · VirusTotal: · 29 May 2026