Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add guia-matthieu/clawfu-skills --skill commission-intelligencegit clone --depth 1 https://github.com/guia-matthieu/clawfu-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/guia-matthieu/clawfu-skills/commission-intelligence)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/commission-intelligence"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/commission-intelligence/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/commission-intelligence"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/commission-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.02783 |
| Opus 5 | $0.00010 | $0.01392 |
| Sonnet 5 | $0.00004 | $0.00557 |
| Haiku 4.5 | $0.00002 | $0.00278 |
Grade A, and why
commission-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Commission Intelligence
Demystify sales compensation by explaining commission calculations, identifying discrepancies, and modeling payout scenarios.
When to Use This Skill
- Reps questioning commission statements
- Designing or updating comp plans
- Modeling quota and OTE scenarios
- Resolving payout disputes
- Planning territory changes
Methodology Foundation
Based on Alexander Group Sales Compensation Design and WorldatWork Incentive Compensation principles, covering:
- Base + variable structures
- Quota attainment mechanics
- Accelerators and decelerators
- Split and overlay rules
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Explains calculation logic | Final payout approvals |
| Identifies discrepancies | Exception handling |
| Models scenarios | Plan design choices |
| Documents rules clearly | Policy changes |
| Calculates examples | Quota assignments |
What This Skill Does
- Calculation explanation - Break down how commission was computed
- Discrepancy identification - Find calculation errors or data issues
- Scenario modeling - Project earnings under different assumptions
- Plan documentation - Clarify complex comp plan rules
- Dispute resolution - Provide clear audit trail
How to Use
Explain this commission calculation:
Rep: [Name]
Role: [AE, SDR, etc.]
Quota: $[Amount]/[Period]
Closed this period: $[Amount]
Comp plan rules:
- Base: $X
- OTE: $X
- Variable: X% of base
- Commission rate: X% up to quota
- Accelerator: X% above quota
Deals closed:
- [List deals with amounts and close dates]
Statement shows: $[Commission Amount]
Rep expected: $[Expected Amount]
Instructions
Step 1: Understand the Comp Plan Structure
Common Structures:
| Type | Description |
|---|---|
| Revenue Commission | % of deal value |
| Quota-Based | % payout based on attainment |
| Tiered | Different rates at different levels |
| Draw | Advance against future commissions |
| MBO | Bonus for specific objectives |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 420 lines · 19 tokens per session scan A 146ed3a40418
commission-intelligence is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 2,783 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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