SKILLEMALL.ai

AD llm-wiki-admin

管理 Karpathy LLM-Wiki 理念知识库,四大操作包括:初始化项目、摄入新原始资料(编译为 wiki 页面)、回答基于 wiki 的查询、执行健康检查(lint)。当用户想要初始化知识库、ingest/摄入新文章或笔记、从 wiki 查询知识、维护 wiki 健康、或提到 llm-wiki / llm_wiki / schema.md / 第二大脑 / Karpathy wiki / Obsidian wiki / 知识编译 时,必须使用此技能。即使用户只说"帮我把这篇文章加进 wiki"或"wiki 里有关于 X 的内容吗",也要触发此技能。

ClawHub Agent Skills author: Jacky Shen v0.1.0 MIT-0 5 files body ≈ 2 161 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerObsidianAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
48/100
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 · 0

✓ No critical or high findings

Files scanned: 5. 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")

Process rating: all ten parameters 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (llm-wiki-admin) differs from the folder (llm-wiki)
  • 100Tools and files. No external tools needed
  • 100Steps. 64 steps
  • 100Execution cost. Instruction body is 2161 tokens
  • 100Progress reporting. Reports progress

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 281: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This appears to be a legitimate wiki-management skill, though it can modify an Obsidian wiki and has broad activation wording.
LLM: benign (high) · VirusTotal: · 21 Aug 2026