SKILLEMALL.ai

CC Explain

Keeps the principal current on the fundamentals of what is going on in the principal's projects, work and technical infrastructure: spoken interactive lessons on the conversation topic, deep explanations of an area's fundamentals read fresh from live sources, and quizzes that remember what the principal missed. USE WHEN teach me, /tm, /teach-me, tutorial, teach me this, walk me through this interactively, learn mode, quiz me, help me actually understand what we just did, explain fundamentals, /ef, what are the fundamentals of, how does this project actually work, catch me up on, refresh me on, quiz fundamentals, /qf, quiz me on the fundamentals, test what I know about, am I still current on. NOT FOR elaborating my last answer (the elaborate shortcut), the LifeOS core pitch (lc), story explanations of content (StoryExplanation), designed visual maps (Visualize), discovery interviews on a half-formed idea (/discuss).

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 5 files body ≈ 833 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Keeps the principal current on the fundamentals of what is going on in the principal's projects, work and technical infrastructure: spoken interactive lessons…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
C
57/100
Has gaps
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

    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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 9, column 14: description: Keeps the principal current on the fundamentals of what is going o… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 57/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 833 tokens
    • 100Running it twice. No mutating operations

    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
    • +3Description length 928: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (3 code blocks)

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