SKILLEMALL.ai

AB Memory

Remembers, recalls, and organizes durable facts in a categorized markdown store at ~/Clawic/data/memory/, parallel to built-in agent memory. Use when the user says remember this, save this, note that for later, or don't forget; when they ask what did I tell you about X, when did we decide Y, or who is Z; when a stored fact is wrong, outdated, or contradicts what they just said; when they want something forgotten or deleted; when recall misses, returns stale facts, or slows down as the store grows; when duplicate or conflicting entries appear; when consolidating scattered notes, importing an existing vault, or sharing memory across devices and agents. Not for session-scoped context the runtime already holds, note-taking apps (notes), journaling practice (journal), or study techniques like spaced repetition (learn, active-recall).

ClawHub Agent Skills author: Iván v1.0.7 MIT-0 18 files body ≈ 4 872 tokens Open the sourceclawhub.ai analyzed 24 h ago

Remembers, recalls, and organizes durable facts in a categorized markdown store at ~/Clawic/data/memory/, parallel to built-in agent memory.

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

ProcedurePersonal productivityAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 0. 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 "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 19 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4872 tokens
    • 100Steps. 46 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 top-level sections: this looks like several domains in one skill
    • high The skill tells the model to perform an irreversible action with no human approval

    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 840: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 46 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    This is a disclosed local-memory skill that stores and manages markdown files on the user's machine, with privacy caveats but no evidence of hidden exfiltration or malicious behavior.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026