AB llm-wiki
Build and maintain a local Markdown knowledge wiki that compounds over time instead of relying on one-shot RAG retrieval. Use when the user wants to turn notes, documents, transcripts, chat logs, research material, or project context into an LLM-maintained wiki/second-brain; when setting up an Obsidian-friendly knowledge base; or when defining ingest, query, reindex, and lint workflows for a personal or team knowledge vault.
As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, consistency
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 · 0
✓ No critical or high findings
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 65/100
- 0Result and completion. Does not say what the result is
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 7 mutating operations with no state check
- 40Consistency. Frontmatter name (llm-wiki) differs from the folder (lhuaizhong-llm-wiki)
- 70When it triggers. States when to use, but not when not to
- 85Steps. 70 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Failures and branches. 4 branches, has a failure section
- 100Execution cost. Instruction body is 1617 tokens
- 100Progress reporting. Reports progress
- low 12 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 428: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.