SKILLEMALL.ai
GitHub ↗ RU Sign in

AF obsidian-wiki-manager

Manage an Obsidian-based personal knowledge base (wiki) with strict ingestion, query, lint, reflect, merge, and system maintenance protocols. Trigger on ingest/摄入/query/lint/检查/reflect/综合分析/merge/去重/add question operations.

ClawHub Agent Skills author: haima666 v1.0.0 MIT-0 2 files body ≈ 1 213 tokens Open the sourceclawhub.ai↗ analyzed 34 h ago

Manage an Obsidian-based personal knowledge base (wiki) with strict ingestion, query, lint, reflect, merge, and system maintenance protocols.

As a process F 41/100 · Will not run — References files that are not bundled: scripts/lint.py

ReferenceObsidianPersonal productivityAI 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/lint.py
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. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/lint.py
  • note frontmatter-key unknown frontmatter key "official"
  • note frontmatter-key unknown frontmatter key "name_zh"
  • note frontmatter-key unknown frontmatter key "description_zh"

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/lint.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/lint.py
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 73 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1213 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (4 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 223: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 73 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill appears purpose-built for managing an Obsidian knowledge base, but its broad triggers can cause private wiki reads, file writes, URL fetching, and indexing commands with too little explicit user control.
LLM: suspicious (medium) · VirusTotal: · 14 Jun 2026