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- Spend receipt kit
Spend receipt kit
Standardized spend logging and ROI proofing for multi-agent systems and API-heavy workflows.
$5
Works with the AI tools you already use
Spend receipt kit
Example session with this skill installed
Log a $4.50 spend on GPT-4o for the competitor analysis run #882. Approved by AUTO under the research cap.
- Read your context and instructions
- Compiled the spend receipt kit
- Generated the document
I have generated the spend receipt and saved it to the evidence directory.
Spend Receipt: RUN-882-GPT4O
| Field | Value |
|---|---|
| Timestamp | 2023-10-27 14:22:10 (Local) |
| Channel | OpenAI API (GPT-4o) |
| Amount | $4.50 USD |
| What it bought | Deep crawl and synthesis of 5 competitor landing pages |
| Run / Ticket ID | #882 |
| Approver | AUTO (Under $10.00 Research Cap) |
| Receipt Path | /evidence/spend/2023-10-27-run-882.md |
Next steps
- Verify the receipt entry in the
/evidence/spend/directory. - Attach this receipt ID to the final competitor analysis report.
- Update the monthly research budget tracker with this new $4.50 debit.
spend-receipt-kit.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Agent teams often consume API credits and SaaS budgets without leaving a paper trail. Developers lose track of what specific spends actually produced, making it impossible to justify budget top-ups or calculate real-time ROI.
What it does
- Standardizes spend logging for every agent, API, and tool transaction.
- Enforces a mandatory receipt path under
/evidence/before budget requests. - Captures critical metadata including channel, amount, purpose, and run IDs.
- Distinguishes between manual approvals and automated spend under caps.
Why this beats prompting it yourself
DIY spend logging is usually an afterthought that results in inconsistent data formats across different agents. This skill provides a rigid schema that ensures every dollar spent by a multi-agent system is auditable and mapped to a specific output.
Use cases
- Logging LLM API costs for specific research tasks.
- Tracking ad spend triggered by automated marketing agents.
- Documenting SaaS tool usage for batch data processing runs.
- Providing audit trails for budget reconciliation in multi-agent desks.
Known limitations
This is a logging protocol for receipts, not a real-time payment gateway or a full accounting ledger.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Security scanned
Verified clean 15 days ago
- Passed all security checks, Safe to install