SKILLEMALL.ai

AB autonomous-bookkeeper

Meta-skill for pre-accounting automation by orchestrating gmail, deepread-ocr, stripe-api, and xero. Use when users need invoice intake from email, structured field extraction, payment verification, and accounting entry creation with reconciliation-ready status.

ClawHub Agent Skills author: Hagen Hoferichter v1.0.0 3 files body ≈ 1 863 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 67/100 · Nearly there — weak spots: when it triggers, consistency

IntegrationGmailStripeFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
67/100
Nearly there
When it triggers w 12
20
Consistency w 8
40
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 67/100

    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (autonomous-bookkeeper) differs from the folder (bookkeeper)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 91 steps, 1 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 1863 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 262: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 91 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This appears to be a legitimate bookkeeping automation skill, but it handles sensitive email, invoice, payment, and accounting data and should be used only with clear user approval.
    LLM: benign (medium) · VirusTotal: suspicious · 28 May 2026