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SKILL verified MIT Self-run

Client Profitability

skill-openaccountant-skills-client-profitability · by openaccountant

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Install

$ agentstack add skill-openaccountant-skills-client-profitability

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Client Profitability Analysis

Overview

Break down revenue and direct costs by client to determine which accounts are most and least profitable. Reveals hidden costs in high-maintenance clients and identifies your highest-value relationships.

Wilson Tools Used

  • transaction_search — find all revenue transactions grouped by client/vendor name, and all expenses attributable to specific clients
  • spending_summary — calculate overhead costs to allocate across clients

Workflow

  1. Ask for the analysis period and list of active clients (or detect from transaction data).
  2. Use transaction_search to find all incoming payments, grouped by client name or reference.
  3. Use transaction_search to find all expenses directly tied to each client (contractor costs, materials, software licenses specific to a project).
  4. Use spending_summary to get total overhead (rent, utilities, general subscriptions).
  5. Allocate overhead proportionally by revenue share: Client Overhead = Total Overhead * (Client Revenue / Total Revenue).
  6. Calculate per-client profitability:
CLIENT PROFITABILITY — [Period]
═══════════════════════════════════════════════════════════
Client          Revenue   Direct    Overhead   Profit   Margin
                          Costs     Alloc.
──────────────────────────────────────────────────────────────
Acme Corp       $15,000   $4,500    $3,750    $6,750    45.0%
Beta LLC        $10,000   $7,200    $2,500      $300     3.0%
Gamma Inc        $8,000   $2,000    $2,000    $4,000    50.0%
Delta Co         $7,000   $1,800    $1,750    $3,450    49.3%
──────────────────────────────────────────────────────────────
TOTAL           $40,000  $15,500   $10,000   $14,500    36.3%
═══════════════════════════════════════════════════════════
  1. Rank clients by profit margin, not just revenue.
  2. Flag clients with margins below 20% as candidates for price renegotiation or scope reduction.

Without Wilson

  1. Export bank transactions as CSV for the analysis period.
  2. In a spreadsheet, add a "Client" column. Tag each income and expense row with the client it relates to. Tag overhead expenses as "General."
  3. Create a pivot table: Rows = Client, Values = Sum of Income, Sum of Direct Expenses.
  4. For overhead allocation, calculate each client's revenue share: =ClientRevenue/TotalRevenue.
  5. Client Overhead = =RevenueShare * TotalOverhead.
  6. Client Profit = =ClientRevenue - DirectCosts - AllocatedOverhead.
  7. Client Margin = =ClientProfit/ClientRevenue*100.
  8. Sort by margin descending. If you use time tracking (Toggl, Harvest, Clockify), export hours per client and calculate effective hourly rate: =ClientProfit/HoursWorked.

Important Notes

  • The hardest part is attributing expenses to specific clients. If you cannot tie an expense to a client, it goes into overhead.
  • Time is a hidden cost. A client paying $10,000/month but consuming 80% of your time is less profitable than it appears. Consider tracking hours per client alongside dollars.
  • Overhead allocation by revenue share is simple but imperfect. A client generating 50% of revenue but only 20% of support tickets is being over-allocated overhead.
  • Use this analysis to decide where to invest sales effort, which clients to fire, and where to raise prices.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.