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BF gbrain-obsidian-vault

把 Obsidian 变成 OpenClaw memory + gbrain 知识图谱的可视化 GUI：单 vault、wikilink 图谱、 memory 日记软链、DB 页面物化导出，编辑仍回灌 sync/embed。触发词：obsidian脑库 / 第二大脑可视化 / gbrain obsidian / memory图谱 / 连点成面 / second brain vault

ClawHub Agent Skills author: SpikeSu v1.0.1 MIT-0 7 files · 1 script body ≈ 694 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

把 Obsidian 变成 OpenClaw memory + gbrain 知识图谱的可视化 GUI：单 vault、wikilink 图谱、 memory 日记软链、DB 页面物化导出，编辑仍回灌 sync/embed。触发词：obsidian脑库 / 第二大脑可视化 / gbrain obsidian /…

As a process F 35/100 · Will not run — References files that are not bundled: path

ProcedureObsidianPostgreSQLAI and agentstype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: path
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: path
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "clawhub_slug"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: path
  • 0Tools and files. 1 referenced file(s) missing: path
  • 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
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 694 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 193: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This skill is a local Obsidian setup helper for OpenClaw/gbrain memory, with no evidence of upload, credential theft, or hidden destructive behavior.
LLM: benign (high) · VirusTotal: · 3 Jun 2026