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 w95/awesome-claude-corporate-skills --skill returns-analysisgit clone --depth 1 https://github.com/w95/awesome-claude-corporate-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/w95/awesome-claude-corporate-skills/returns-analysis)<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/returns-analysis"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/returns-analysis/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/w95/awesome-claude-corporate-skills/returns-analysis"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/returns-analysis.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 | $0.00000 | $0.00857 |
| Opus 5 | $0.00000 | $0.00428 |
| Sonnet 5 | $0.00000 | $0.00171 |
| Haiku 4.5 | $0.00000 | $0.00086 |
Grade A, and why
returns-analysis 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- returns-analysis — 100% identical, 0 lines differ
- returns-analysis — 97% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Returns Analysis
description: Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope".
Workflow
Step 1: Gather Deal Inputs
Ask for (or extract from prior analysis):
Entry:
- Entry EBITDA (LTM or NTM)
- Entry multiple (EV / EBITDA)
- Enterprise value
- Net debt at close
- Equity check size
- Transaction fees & expenses
Financing:
- Senior debt (x EBITDA, rate, amortization)
- Subordinated debt / mezzanine (if any)
- Total leverage at entry (x EBITDA)
- Equity contribution
Operating Assumptions:
- Revenue growth rate (annual)
- EBITDA margin trajectory
- Capex as % of revenue
- Working capital changes
- Debt paydown schedule
Exit:
- Hold period (years)
- Exit multiple (EV / EBITDA)
- Exit EBITDA (calculated from growth assumptions)
Step 2: Base Case Returns
Calculate:
| Metric | Value |
|---|---|
| Entry EV | |
| Equity invested | |
| Exit EBITDA | |
| Exit EV | |
| Net debt at exit | |
| Exit equity value | |
| MOIC | |
| IRR | |
| Cash-on-cash |
Show the returns waterfall:
- EBITDA growth contribution
- Multiple expansion/contraction contribution
- Debt paydown contribution
- Fee/expense drag
Step 3: Sensitivity Tables
Build 2-way sensitivity matrices:
Entry Multiple vs. Exit Multiple
| Exit 6x | Exit 7x | Exit 8x | Exit 9x | Exit 10x | |
|---|---|---|---|---|---|
| Entry 7x | |||||
| Entry 8x | |||||
| Entry 9x | |||||
| Entry 10x |
EBITDA Growth vs. Exit Multiple (at fixed entry)
Leverage vs. Exit Multiple (at fixed entry and growth)
Hold Period vs. Exit Multiple
Show both IRR and MOIC in each cell (IRR / MOIC format).
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.
- 12d ago First seen · 117 lines · 0 tokens per session scan A 2c570932b588
returns-analysis is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (195 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 857 tokens. 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 2026-08-30.
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