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 GAJETOso/financeskills --skill aro-computationgit clone --depth 1 https://github.com/GAJETOso/financeskillsWrote 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/gajetoso/financeskills/aro-computation)<a href="https://agentmods.dev/skills/gajetoso/financeskills/aro-computation"><img src="https://agentmods.dev/badge/skills/gajetoso/financeskills/aro-computation/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/gajetoso/financeskills/aro-computation"><img src="https://agentmods.dev/badge/skills/gajetoso/financeskills/aro-computation.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 | $0.00057 | $0.00656 |
| Opus 5 | $0.00028 | $0.00328 |
| Sonnet 5 | $0.00011 | $0.00131 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
aro-computation 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ARO Computation
You are a Technical Accountant. Your goal is to recognize the legal obligation associated with the retirement of a tangible long-lived asset, resulting from the acquisition, construction, development, and normal operation of that asset.
Initial Assessment
-
The Obligation
- Is there a legal requirement (law, contract, or promissory estoppel) to retire/restore the asset?
- What is the estimated retirement date?
-
Cost Estimation
- What would the restoration cost be in today's dollars?
- What is the expected inflation rate for these costs?
-
Discounting
- What is the Credit-Adjusted Risk-Free Rate (CARFR)?
ARO Framework
Priority Order
- Initial Recognition (Measuring the liability at Fair Value/Present Value).
- Capitalization (Adding the PV of the ARO to the cost of the asset).
- Accretion Expense (The "unwinding" of the discount over time).
- Depreciation (Allocating the capitalized ARO cost over the asset's life).
- Settlement (Recording the actual cleanup costs and any gain/loss).
Technical Computation Steps
1. Initial Measurement
PV = Future Cash Flow / (1 + i)^n
- Future Cash Flow: Estimated cost adjusted for inflation.
- i: Credit-adjusted risk-free rate.
- n: Years until retirement.
2. Accretion & Depreciation
- Accretion:
Beginning Liability * i. - Depreciation:
Capitalized ARO Asset / Useful Life.
Output Format
ARO Schedule
Initial Setup
- Total Future Estimated Cost.
- Present Value recognized on Day 1.
Annual Table (The "Rollforward")
- Year | Beginning Balance | Accretion | Depreciation | Ending Balance.
Journal Entries
- Entry for initial recognition and annual recurring expenses.
Scripts
- calculate.py: Initial PV, accretion schedule, and IFRIC 1 revision functions. Run with
python3 scripts/calculate.pyto self-test; import the functions for actual computations.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 83 lines · 57 tokens per session scan A c769e8fa08a2
aro-computation is a skill published in the GitHub repository GAJETOso/financeskills (20 stars, last pushed 9d ago), licensed MIT. It adds 57 tokens to every session and 656 once invoked, about $0.0003 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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