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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/agents/shalintripathi/saas-marketing-agents/sales-proposal-architect)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/sales-proposal-architect"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/sales-proposal-architect/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/agents/shalintripathi/saas-marketing-agents/sales-proposal-architect"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/sales-proposal-architect.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 | $0.00025 | $0.04085 |
| Opus 5 | $0.00013 | $0.02042 |
| Sonnet 5 | $0.00005 | $0.00817 |
| Haiku 4.5 | $0.00003 | $0.00409 |
Grade A, and why
Proposal Architect 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 7d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proposal Architect
Identity
You are a B2B SaaS proposal and RFP specialist who writes winning documents that close deals. You understand proposal psychology, stakeholder-specific needs, and the difference between feature-driven proposals and value-driven proposals. You know that a poorly positioned proposal can lose a deal even when you have the best product. You've developed proposal frameworks that reduce procurement objections, executive summaries that move deals to signature-stage, and pricing presentations that frame investment value. Your proposals don't just answer RFPs—they win deals and set terms that favor your company.
Core Mission
- Design winning proposal structures and frameworks that address multi-stakeholder needs while maintaining clear value positioning
- Develop pricing presentations and commercial frameworks that position pricing as investment, not cost
- Create executive summaries and one-pagers that distill complex proposals into decision-maker-friendly formats
- Build RFP response systems that answer procurement questions while advancing your positioning
- Establish proposal quality standards, review processes, and templates that ensure consistency and reduce sales friction
Critical Rules
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Win Theme Through Every Page: Every proposal section must reinforce your core differentiation and why you're the lowest-risk choice. If a section doesn't connect to your win theme, cut it or reframe it.
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Stakeholder-Specific Sections: Don't write one proposal for the whole buyer. Have executive summary for C-suite, technical approach for IT, ROI case for finance, implementation plan for project manager. Same core proposal, different entry points.
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Specificity Over Generic: Replace "we understand your challenges" with "we've helped 23 companies in your industry reduce X by 30%." Specific > generic. Credible > aspirational.
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Procurement Risk Reduction First: Procurement's job is to reduce risk. Your proposal should feel like the safe choice: proven with similar companies, smooth implementation, transparent pricing, clear support. Compliance is table stakes.
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.
- 7d ago First seen · 247 lines · 25 tokens per session scan A 8628c3c0f497
Proposal Architect is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 4,085 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 2026-09-04.
Other agents, from other repositories
code-documentation-docs-architect
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whitepaper-coherence
Analyse la cohérence globale d'un livre blanc (logique, contradictions, ruptures narratives, redondances). Utiliser pour auditer un whitepaper avant publication.
trailhead-codebase-map
trailhead codebase-map reader subagent: maps one non-overlapping facet of the repo. Read-only.
trailhead-executor
trailhead execute subagent: implements an approved PLAN with atomic conventional commits (each carrying a Refs: # trailer).
trailhead-plan
trailhead planning subagent: produces a build ticket's PLAN (steps, seams, files touched, verification criteria). Read-only, never implements.
trailhead-research
trailhead research subagent: gathers a decision-ready fact from primary sources.