SKILLEMALL.ai

BC Simplify

Research-first simplification of any file, skill, tool, subsystem or codebase against its ideal state: reads its ISA or derives its purpose, maps every dependent (callers, imports, references, hooks, settings, docs, tests), classifies each element with evidence as load-bearing, duplicate, dead, cruft or over-abstracted, then proposes and applies cuts that keep every behaviour a dependent relies on, proven by before-and-after parity checks. USE WHEN simplify, simplify this, simplify this system, remove cruft, remove duplication, dedupe, dead code, clean this up, this has gotten bloated, too complicated, reduce complexity, consolidate, strip this down without breaking it, what can we delete. NOT FOR always-on context files (Trim), cleanup of just the current diff (/simplify), harmony across many systems (Unify), auditing prompt rules for over-prompting (BitterLessonEngineering), bug hunting (/code-review).

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 4 files body ≈ 809 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Research-first simplification of any file, skill, tool, subsystem or codebase against its ideal state: reads its ISA or derives its purpose, maps every…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
54/100
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 54/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 809 tokens

    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 917: 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: 6 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.