SKILLEMALL.ai

AB clear-mind

Memory file maintenance and optimization system. Use when factual information (portfolio, projects, technical details) accumulates in MEMORY.md, or when periodic memory cleanup is needed. Migrates factual content to separate files, keeps only core rules and indexes in MEMORY.md, maintains Quick Index table for navigation. Size/line count is NOT a trigger — only factual bloat matters.

ClawHub Agent Skills author: webray1983 v1.0.2 MIT-0 3 files body ≈ 2 451 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

Memory file maintenance and optimization system.

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 94, 109, 236, 240): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 65/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 85Steps. 61 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2451 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 386: enough signal without eating the budget
    • +4Structure: 28 headings
    • +3Step-by-step instructions: 61 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill is a coherent memory-cleanup tool, but it can rewrite and delete persistent memory without a mandatory itemized approval plan or verified pre-migration backup.
    LLM: suspicious (high) · VirusTotal: · 12 Sept 2026