Borrowing it
Nothing to install: this file belongs to daloopa/investing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/daloopa/investing/main/.claude/skills/precedent-transactions/SKILL.mdgit clone --depth 1 https://github.com/daloopa/investingWrote 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/daloopa/investing/precedent-transactions)<a href="https://agentmods.dev/skills/daloopa/investing/precedent-transactions"><img src="https://agentmods.dev/badge/skills/daloopa/investing/precedent-transactions/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/daloopa/investing/precedent-transactions"><img src="https://agentmods.dev/badge/skills/daloopa/investing/precedent-transactions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.02309 |
| Opus 5 | $0.00009 | $0.01154 |
| Sonnet 5 | $0.00004 | $0.00462 |
| Haiku 4.5 | $0.00002 | $0.00231 |
Grade A, and why
precedent-transactions 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 10d 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
1 near-identical copy found in the catalogue:
- precedent-transactions — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build a precedent transactions analysis for the company specified by the user: $ARGUMENTS
This is the third pillar of valuation (alongside trading comps and DCF) — it answers: what have acquirers actually paid for businesses like this one? The output is two tables: comparable M&A transactions with deal multiples, and the subject company's own acquisition history.
Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.
Follow these steps:
1. Company Lookup
Look up the company by ticker using discover_companies. Capture:
company_idlatest_calendar_quarter— anchor for all period calculations below (see../data-access.mdSection 1.5)latest_fiscal_quarter- Firm name for report attribution (default: "Daloopa") — see
../data-access.mdSection 4.5
Identify:
- Full legal company name
- Primary stock exchange and reporting currency
- Country of domicile and primary operations
- Industry and sub-sector
- Approximate revenue and EBITDA scale (to calibrate comparable deal sizing)
2. Subject Company Financials
Calculate 4 quarters backward from latest_calendar_quarter. Pull from Daloopa:
- Revenue (compute trailing 4Q / LTM total)
- EBITDA (compute trailing 4Q; if not available, use Operating Income + D&A, label "(calc.)")
- Operating Income
- Net Income
- Free Cash Flow (OCF - CapEx, label "(calc.)")
These serve as the reference point for comparing deal multiples — what would an acquirer be paying relative to this company's current financials?
3. Identify Comparable Precedent Transactions
Find 8-15 completed M&A transactions from the last 7-10 years involving target companies comparable to the subject. "Comparable" means:
- Same industry and sub-sector
- Similar business model (e.g., SaaS, semiconductor IP, consumer internet, industrials)
- Roughly comparable scale — within ~0.5x-4x of the subject's revenue
- Completed transactions only (not rumored, not pending)
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.
- 10d ago First seen · 184 lines · 18 tokens per session scan A 50c4455b3885
precedent-transactions is a skill published in the GitHub repository daloopa/investing (487 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 2,309 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 2026-08-30.
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