outside-counsel-billing-performance-reviewer

outside-counsel-billing-performance-reviewer is a skill for Codex from lawve-ai/awesome-legal-skills. It costs 91 tokens per session (3,159 once invoked), scanned A, original, no licence file.

A review process for outside-law-firm invoices and billing data, including electronic billing files, rate agreements, discounts, budgets, and staffing rules. It produces findings and scorecards for reviewing firm performance.

In plain words
What is it for?
It is for checking invoices, reviewing agreed rates and discounts, assessing budgets and staffing, and preparing monthly or quarterly performance reviews.
Why use it?
It helps an in-house legal department find billing issues and compare firms using its own records before relying on outside benchmarks.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for checking invoices, reviewing agreed rates and discounts, assessing budgets and staffing, and preparing monthly or quarterly performance reviews.

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Install with agentmods
npx agentmods add skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler
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 outside-counsel-billing-and-performance-reviewer-carl-ditzler
Clone the repo
git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills

Made for: 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 outside-counsel-billing-performance-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler/github.svg)](https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler)
Your own site
<a href="https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler"><img src="https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler/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 outside-counsel-billing-performance-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler"><img src="https://agentmods.dev/badge/skills/lawve-ai/awesome-legal-skills/outside-counsel-billing-and-performance-reviewer-carl-ditzler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,159 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 $0.00091 $0.03159
Opus 5 $0.00046 $0.01580
Sonnet 5 $0.00018 $0.00632
Haiku 4.5 $0.00009 $0.00316

Measured 9d ago against content hash 9e913a2efeb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

outside-counsel-billing-performance-reviewer 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_exec_pack.py, scripts/export_issue_log.py, scripts/normalize_billing_data.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/outside-counsel-billing-and-performance-reviewer-carl-ditzler/SKILL.md · 208 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

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. 9d ago First seen · 208 lines · 91 tokens per session scan A 9e913a2efeb5

Subscribe to this mod's changes

outside-counsel-billing-performance-reviewer is a skill published in the GitHub repository lawve-ai/awesome-legal-skills (689 stars, last pushed 8d ago), with no licence file. It adds 91 tokens to every session and 3,159 once invoked, about $0.0005 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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