proposal-generation

proposal-generation is a skill for Claude Code from JoelLewis/finance_skills. It costs 136 tokens per session (6,539 once invoked), scanned A, original, MIT.

A guide to choosing and running portfolio-management software for financial-advice firms. Such software tracks investments, manages model portfolios, monitors when portfolios drift from their targets, supports rebalancing, and receives account data from custodians.

In plain words
What is it for?
Select and configure a portfolio-management system, manage models and unified accounts, monitor allocation drift, rebalance portfolios, connect custodian feeds, and handle portfolio data operations.
Why use it?
It helps firms compare systems and keep investment data, target allocations, trades, performance reports, and account records aligned. It also explains operational issues such as data errors and reconciliation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the advisory-practice plugin — 12 skills shipped together

not rated 184repo +5 1mo ago A scan Socket: passSnyk: passSkillSpector: pass 136 tokens original MIT

Good fit Select and configure a portfolio-management system, manage models and unified accounts, monitor allocation drift, rebalance portfolios, connect custodian feeds, and handle portfolio data operations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joellewis/finance_skills/proposal-generation
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 JoelLewis/finance_skills --skill proposal-generation
Clone the repo
git clone --depth 1 https://github.com/JoelLewis/finance_skills

Made for: Claude Code.

Or install advisory-practice, the plugin that ships this one along with the rest of its 12 skills.

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 proposal-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/joellewis/finance_skills/proposal-generation/github.svg)](https://agentmods.dev/skills/joellewis/finance_skills/proposal-generation)
Your own site
<a href="https://agentmods.dev/skills/joellewis/finance_skills/proposal-generation"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/proposal-generation/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 proposal-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/joellewis/finance_skills/proposal-generation"><img src="https://agentmods.dev/badge/skills/joellewis/finance_skills/proposal-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,539 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. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 13 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00136 $0.06539
Opus 5 $0.00068 $0.03270
Sonnet 5 $0.00027 $0.01308
Haiku 4.5 $0.00014 $0.00654

Measured 9d ago against content hash a4be08c49dca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

proposal-generation 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.

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.

plugins/advisory-practice/skills/proposal-generation/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Proposal Generation

Core Concepts

Proposal Workflow Architecture

The investment proposal is the centerpiece of the advisory sales process. It translates a prospect's financial situation and goals into a specific, actionable investment recommendation. The end-to-end workflow proceeds through defined stages:

  1. Discovery meeting — the advisor meets with the prospect to understand their financial situation, goals, concerns, and expectations. The advisor collects current account statements, tax returns, and any existing financial plan. The discovery meeting establishes the advisory relationship's tone and sets expectations for the proposal.
  2. Data collection and organization — the advisor or operations team enters prospect data into the proposal system: personal information, current holdings (manually or via account aggregation), financial goals, time horizons, income, expenses, tax situation, and any unique circumstances (concentrated positions, restricted stock, estate planning needs).
  3. Risk profiling — the prospect completes a risk tolerance questionnaire. The system scores the responses and produces a risk profile that maps to a position on the firm's risk-return spectrum. The risk profile is the bridge between subjective client preferences and objective portfolio construction.
  4. Model portfolio selection — the risk profile score maps to a specific model portfolio from the firm's lineup. The advisor reviews the mapping, considers any client-specific factors that might warrant adjustment (tax sensitivity, income needs, ESG preferences, concentrated positions), and confirms the recommended model.
  5. Current portfolio analysis — if the prospect has existing investments, the system analyzes their current holdings: asset allocation, risk metrics, expense ratios, tax lots, concentrated positions, overlap, and style drift. This analysis quantifies the gap between the current portfolio and the recommended model.
  6. Proposal document generation — the system assembles the proposal document from templates, populating it with client-specific data, the recommended portfolio, fee schedule, projections, and disclaimers. The proposal document is the deliverable that the prospect reviews and uses to make their decision.
  7. Compliance review — before the proposal is presented, it undergoes supervisory review to verify suitability documentation, performance presentation compliance, fee disclosure adequacy, and proper disclaimers. For firms subject to the SEC Marketing Rule, proposals that include performance data require additional scrutiny.
  8. Presentation and discussion — the advisor presents the proposal to the prospect, walks through the analysis and recommendation, answers questions, and addresses concerns. The presentation meeting is where the advisory value proposition is demonstrated.
  9. Revision and finalization — based on the prospect's feedback, the advisor may revise the recommendation (different model, adjusted allocation, modified fee structure) and regenerate the proposal.
  10. Acceptance and onboarding — the prospect accepts the proposal by signing the advisory agreement (IMA or similar). The proposal data flows into the onboarding process: account opening, funding, and initial investment in the recommended model.

Read the full file on GitHub · 297 lines

Files

What ships with it

1 file 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. 9d ago First seen · 297 lines · 136 tokens per session scan A a4be08c49dca

Subscribe to this mod's changes

proposal-generation is a skill published in the GitHub repository JoelLewis/finance_skills (184 stars, last pushed 1mo ago), licensed MIT. It adds 136 tokens to every session and 6,539 once invoked, about $0.0007 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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