budget-and-fee-manager-scott-margetts

budget-and-fee-manager-scott-margetts is a skill for Claude Code, Codex from lawve-ai/awesome-legal-skills. It costs 205 tokens per session (5,629 once invoked), scanned A, original, no licence file.

A tool for planning and tracking the cost of legal matters. It creates estimates by project phase, country, or type of work and supports fixed-price and capped-fee arrangements.

In plain words
What is it for?
Use it to set matter budgets, calculate contingency, compare work in progress with estimates, and monitor different fee structures.
Why use it?
It helps legal teams see whether work is staying within the agreed budget and spot rising costs early.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to set matter budgets, calculate contingency, compare work in progress with estimates, and monitor different fee structures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts
Install

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.

Any agent
npx skills add lawve-ai/awesome-legal-skills --skill budget-and-fee-manager-scott-margetts
Clone the repo
git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for budget-and-fee-manager-scott-margetts

README.md
[![agentmods](https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts/github.svg)](https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts)
Your own site
<a href="https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts"><img src="https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts/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.

agentmods 80×15 button for budget-and-fee-manager-scott-margetts

Your own site · 80×15
<a href="https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts"><img src="https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/budget-and-fee-manager-scott-margetts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 205 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00205 $0.05629
Opus 5.5 $0.00082 $0.02252
Sonnet 5.5 $0.00041 $0.01126
Haiku 4.5 $0.00020 $0.00563

Measured 1mo ago against content hash 6ed67dbbcb35, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

budget-and-fee-manager-scott-margetts 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 1mo 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.

skills/budget-and-fee-manager-scott-margetts/SKILL.md · 340 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago First seen · 340 lines · 205 tokens per session scan A 6ed67dbbcb35

Subscribe to this mod's changes

budget-and-fee-manager-scott-margetts is a skill published in the GitHub repository lawve-ai/awesome-legal-skills (900 stars, last pushed 8d ago), with no licence file. It adds 205 tokens to every session and 5,629 once invoked, about $0.0008 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

investment-and-shareholder-agreement-reviewer

Reviews venture and private-investment documents — term sheets, letters of intent, share subscription agreements, shareholders' agreements, investment agreements, joint-venture agreements, constitutional rights packages, and side letters — from one identified party's position (founder, investor, majority, minority…

rohasnagpal/legal-ai-skills · 207 tokens

compensation-quantifier

Builds a compensation or damages claim head by head, using only the figures actually supplied, showing the arithmetic and flagging any head that is claimed without a supporting figure. Use this whenever a user wants a claim quantified rather than assessed on the merits — including phrasings like "work out what we can…

rohasnagpal/legal-ai-skills · 183 tokens

damages-quantifier

Builds a general civil or commercial damages claim head by head, using only the figures actually supplied — contractual damages (expectation and reliance loss), lost profits, wasted expenditure, interest, and mitigation adjustments — showing the arithmetic and flagging any head claimed without a supporting figure. Use…

rohasnagpal/legal-ai-skills · 155 tokens

deal-structure-analyst

Compares realistic alternative structures for a transaction — asset purchase versus share purchase, merger versus acquisition, direct investment versus a holding-company route, debt versus equity, onshore versus offshore vehicle — and their legal, tax-flagged, liability, and control consequences, before any drafting…

rohasnagpal/legal-ai-skills · 199 tokens

fema-analyst

Analyses a cross-border transaction against India's foreign exchange control framework — transaction classification, residential status under FEMA, applicable route, pricing guideline and reporting requirements — flagging current sectoral caps and form requirements for verification rather than asserting them from…

rohasnagpal/legal-ai-skills · 151 tokens

gst-compliance-analyst

Analyses a supply for its GST treatment — classification as goods or services, place and time of supply, applicable rate, reverse charge, input tax credit eligibility, and registration and compliance obligations — flagging current rate notifications and thresholds for verification rather than asserting them from…

rohasnagpal/legal-ai-skills · 156 tokens