Use when building or maintaining an Obsidian second brain that an LLM keeps up to date, or when ingesting a paper, article or book into it. Ingests with ingest_source.py, maintains index and links and checks the vault with lint_wiki.py.
This is a copy of a skill from another catalog; the rating counts the canonical one: llm-wiki(alirezarezvani/claude-skills)
How to improve
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: 38. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
noteedit-residue the text marks something as outdated (lines 110): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 60/100
0Result and completion. Does not say what the result is
0Inputs and preconditions. Does not say what the process needs to start
50When it triggers. No condition that starts the skill
60Tools and files. Uses tools (web, python) that frontmatter does not declare
85Steps. 34 steps, 1 vague phrases
100Failures and branches. 1 branches, has a failure section
100Consistency. Name and required fields are in place
100Execution cost. Instruction body is 2337 tokens
100Running it twice. Mutating operations check current state
100Progress reporting. Reports progress
low 15 top-level sections: this looks like several domains in one skill
low The response is described with custom markup (3 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
+3Output format is not stated: the model decides each time
+2Single-language instructions
+4Description says when NOT to use the skill
+3Description length 236: enough signal without eating the budget
+4Structure: 16 headings
+3Step-by-step instructions: 34 items
+4Has examples (3 code blocks)
+4Reference files are cited in the instructions (8 of 8)
+3All 8 scripts are documented
+1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.
