SKILLEMALL.ai

AC cpa-return-review

Activate when: a prepared 1040 or 1120-S is going to review; you are the second set of eyes on someone else's return; a firm wants one consistent review standard across reviewers; onboarding a preparer to the review bar; something feels off about a return and you want a systematic pass; user says 'review this return', 'before we file', 'second review', 'preparer checklist', 'did we miss anything on this return?'. Do NOT activate when: the return is not yet prepared; the question is a single technical treatment; the work is chasing missing documents rather than reviewing; the question is what an examiner would attack or whether a position invites audit rather than whether the return is right (use tax-prep-pre-file-audit-premortem instead — it applies to 1120-S as much as 1040). More: deciqai.com/c/cpa-return-review

ClawHub Agent Skills author: deciqAI v1.0.0 MIT-0 2 files body ≈ 2 883 tokens Open the sourceclawhub.ai analyzed 3 d ago

Activate when: a prepared 1040 or 1120-S is going to review; you are the second set of eyes on someone else's return; a firm wants one consistent review…

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerFinanceSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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: 2. 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 58/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 100Tools and files. No external tools needed
    • 100Steps. 65 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2883 tokens
    • 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)
    • +3Description length 825: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 65 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: clean
    This is a checklist-style CPA return review skill with no executable code, hidden persistence, or unrelated data handling.
    LLM: benign (high) · VirusTotal: · 16 Aug 2026