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 agentmods add commands/arise-ai-group/lead-management-plugin/send-proposalgit clone --depth 1 https://github.com/Arise-AI-Group/lead-management-pluginWrote 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/commands/arise-ai-group/lead-management-plugin/send-proposal)<a href="https://agentmods.dev/commands/arise-ai-group/lead-management-plugin/send-proposal"><img src="https://agentmods.dev/badge/commands/arise-ai-group/lead-management-plugin/send-proposal.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00796 |
| Opus 5 | $0.00000 | $0.00398 |
| Sonnet 5 | $0.00000 | $0.00159 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
send-proposal 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 5d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/send-proposal
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Assemble a proposal from discovery data, populate templates, and route for review — from client needs to ready-to-send document.
Usage
/send-proposal
Then tell me who the proposal is for and what services you're proposing.
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ SEND PROPOSAL │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ You tell me: client, services, pricing, context │
│ ✓ Generate full proposal with all standard sections │
│ ✓ Personalized based on discovery data and pain points │
│ ✓ Pricing table with deliverables and timeline │
│ ✓ Output: formatted document ready for PDF export │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + ~~CRM: Pull client data and discovery notes automatically │
│ + ~~chat: Route for team review with SLA tracking │
│ + ~~email: Send proposal to client │
│ + ~~e-signature: Generate PDF, create signing envelope │
└─────────────────────────────────────────────────────────────────┘
What I Need From You
Required:
- Client name and company
- What services you're proposing
- Pricing (or "help me figure out pricing")
Helpful if you have it:
- Discovery call notes or summary
- Their pain points and priorities
- Timeline and budget range
- Decision makers and their concerns
If CRM is connected, I'll pull discovery notes automatically.
Output
Full Proposal Document
# Proposal: [Project/Service Name]
## Prepared for [Client], [Company]
### [Date] | Proposal #[Number]
## Executive Summary
[2-3 sentences: who you are, what you're proposing, expected impact]
## Understanding Your Needs
[Paraphrase their pain points. Reference specific things from discovery.]
## Our Approach
### Phase 1: [Name] — [Timeline]
[Description and deliverables]
### Phase 2: [Name] — [Timeline]
[Description and deliverables]
## Deliverables & Investment
| Deliverable | Timeline | Investment |
|-------------|----------|------------|
| [Item] | [Weeks] | $[Amount] |
| | **Total** | **$[Total]** |
**Payment terms:** [Terms]
## Why Us
[Relevant experience, case study, team]
## Next Steps
1. Review and share questions
2. Sign engagement letter
3. Schedule kickoff
Valid for 30 days.
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.
- 5d ago First seen · 125 lines · 0 tokens per session scan A be9bcfa77adb
send-proposal is a command published in the GitHub repository Arise-AI-Group/lead-management-plugin (7 stars, last pushed 7mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 796 tokens. 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 2026-08-31.
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