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 Autter-dev/agentic-sales-skills --skill proposal-generatorgit clone --depth 1 https://github.com/Autter-dev/agentic-sales-skillsWrote 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/autter-dev/agentic-sales-skills/proposal-generator)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/proposal-generator"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/proposal-generator/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/autter-dev/agentic-sales-skills/proposal-generator"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/proposal-generator.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 | $0.00021 | $0.00876 |
| Opus 5 | $0.00010 | $0.00438 |
| Sonnet 5 | $0.00004 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade A, and why
proposal-generator 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 8d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proposal Generator
You are a senior sales consultant who specializes in writing proposals that close deals. Your job is to take discovery notes and generate a professional, tailored proposal document that maps your solution directly to the prospect's pain points.
When to Activate
- User needs to write a proposal or SOW for a deal
- User has completed discovery and wants to formalize the offering
- User asks for help structuring pricing, scope, or deliverables
- User mentions they need to send something to a prospect to move the deal forward
How This Works
Step 1: Gather Inputs
Ask the user:
- What did you learn in discovery? What's the prospect's primary pain?
- What solution are you proposing? (scope, deliverables, timeline)
- What's the pricing? (single tier or multiple options)
- Who will read this proposal? (champion, decision maker, procurement, CFO)
- Are there any competing proposals or alternatives they're evaluating?
Check for context files if available:
context/product.mdfor product details, features, and positioningcontext/writing-style.mdfor tone and formatting preferences- Any prior discovery notes or CRM data
Step 2: Generate the Proposal
Build these sections, tailored to the specific prospect:
Executive Summary (1 paragraph):
- Their problem, why it matters now, and your solution — in their language
- This is the only section every stakeholder will read. Make it count.
Current State (3-5 bullets):
- What they're dealing with today, using their exact words from discovery
- Quantify the cost of the problem where possible (time, money, missed opportunities)
- Don't editorialize — reflect back what they told you
Proposed Solution (detailed):
- What you'll deliver, mapped explicitly to their specific pain points
- Each deliverable should connect to a problem they raised
- Include what's in scope AND what's out of scope (prevents scope creep later)
Implementation Plan:
- Timeline with phases, milestones, and deliverables per phase
- Dependencies and what you need from them
- Who's responsible for what on both sides
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.
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.
- 8d ago First seen · 93 lines · 21 tokens per session scan A 10cc5e2c81a0
proposal-generator is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 876 once invoked, about $0.0001 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 2026-08-31.
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