AC knowledge
Capture, summarize, and organize knowledge from URLs, YouTube videos, documents, and files. Proactively recall stored knowledge when relevant.
As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
ReferenceYouTubeMedia and videoInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
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: 4. 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 55/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 40Consistency. Frontmatter name (knowledge) differs from the folder (knowledge-brain)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 4992 tokens
- 85Steps. 113 steps, 2 vague phrases
- 100Failures and branches. 21 branches, has a failure section
- 100Running it twice. Mutating operations check current state
- 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
- +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 142: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 113 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a disclosed personal knowledge-base skill with local file, memory, and git side effects that fit its stated purpose, but users should avoid storing sensitive material they would not want recalled later.
LLM: benign (high) · VirusTotal: suspicious · 28 May 2026