SKILLEMALL.ai

AB miremo

Access the user's personal Miremo knowledge base and reusable method skills — search notes, look up what they know about a topic, browse documents and tags, explore their knowledge graph, save new information, or retrieve the user's Miremo Skill materials. Use when the user says "find my notes", "what do I know about", "search my knowledge base", "look it up in Miremo", "save/record/remember this", "what topics have I written about", "show my notes on X", "use my Miremo skill", "use my method/template/workflow", or "look up my skill instructions". NOT for general web searches or queries about topics not stored in the user's own Miremo data.

ClawHub Agent Skills author: Hansen浩森 v1.0.2 MIT-0 3 files body ≈ 3 091 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process B 73/100 · Nearly there — weak spots: result and completion, running it twice

ReferenceInfrastructuretype 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
73/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Tools and files w 18
60
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 73/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 10 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 98 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 7 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3091 tokens
    • 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

    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 648: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 98 items

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

    External checks

    ClawHub: clean
    This skill coherently connects OpenClaw to a user's Miremo knowledge base, with disclosed read/search and note-creation capabilities that match its stated purpose.
    LLM: benign (high) · VirusTotal: · 10 Jul 2026