SKILLEMALL.ai

AB bookkeeping-reconciliation-helper

Help users with Validated demand: Finance and operations teams need repeatable workflows for reconciling bank feeds, invoices, receipts, payment processor exports, and accounting ledgers without losing unmatched exceptions. This requirement is supported by 12 separate online signals across 2 source families, so it represents broader demand rather than a single isolated request.. Use when a user asks for software-and-data, bookkeeping, bank reconciliation, invoice matching, receipts, or needs a practical workflow, artifact, checklist, analysis, or implementation support for this requirement.

ClawHub Agent Skills author: Kyro v0.1.1 MIT-0 7 files body ≈ 666 tokens Open the sourceclawhub.ai analyzed 2 d ago

Help users with Validated demand: Finance and operations teams need repeatable workflows for reconciling bank feeds, invoices, receipts, payment processor…

As a process B 67/100 · Nearly there — weak spots: result and completion, when it triggers, failures and branches

AnalyzerFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
67/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 67/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Result and completion. Does not say what the result is
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 666 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 597: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 16 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This appears to be a documentation-only bookkeeping reconciliation helper with no hidden execution, though its broad auto-invocation wording could route general finance conversations into it.
    LLM: benign (medium) · VirusTotal: · 22 Jun 2026