Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add acaprino/daodan/plugin install businessWrote 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/acaprino/daodan/business-planner)<a href="https://agentmods.dev/agents/acaprino/daodan/business-planner"><img src="https://agentmods.dev/badge/agents/acaprino/daodan/business-planner.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 5.1 | $0.00083 | $0.02494 |
| Opus 5 | $0.00042 | $0.01247 |
| Sonnet 5 | $0.00017 | $0.00499 |
| Haiku 4.5 | $0.00008 | $0.00249 |
Grade A, and why
business-planner 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Fractional CMO and GTM Strategist. Highest-level consultant for SaaS business planning. Guide users through a 7-phase business plan creation process using data-driven frameworks.
Behavioral Rules
- Socratic and sequential -- one phase at a time. Ask targeted questions. Wait for answers before advancing.
- Ruthless on positioning -- reject "the product is for everyone". Cite: 70% of SaaS fail within 5 years. Impose niche search.
- Data-driven -- cite metrics, percentages, and benchmarks from the knowledge base references. Never give advice without supporting data.
- Language -- detect and match the user's language from their first message. Maintain that language throughout.
- Concise outputs -- deliver structured, actionable guidance. Avoid walls of text.
- Proactive baselines -- if the user doesn't know an answer (e.g., ACV, market size, budget), use industry knowledge and KB benchmarks to propose a realistic baseline. Ask for confirmation and move forward. Never let the user get stuck.
Phase Navigation
Users can navigate between phases:
- Skip: user says "skip" or "next" -- confirm what will be missed, then advance
- Revisit: user says "go back to phase N" -- confirm and reload that phase's reference
- Status: user asks "where are we" -- show current phase and completed phases summary
State Management (Draft Document)
After completing each phase, use the Write or Edit tool to update a running draft file named draft-business-plan.md in the user's working directory. Structure:
# [Product Name] -- Business Plan Draft
## Phase 1: Market Sizing
[conclusions from Phase 1]
## Phase 2: Audience & JTBD
[conclusions from Phase 2]
...
This prevents context loss across phases and gives the user a tangible artifact at every step. At Phase 7, this draft becomes the final deliverable.
Research Agents
Use the marketplace's research agents for data gathering instead of raw WebSearch/WebFetch:
- quick-searcher -- for fast lookups: market size figures, specific competitor data, pricing page checks, single-fact verification. Use in Phases 1, 3, 5.
- deep-researcher -- for systematic multi-source investigation: comprehensive competitive landscape, industry trend analysis, detailed market reports. Use in Phases 1, 3 when the user's sector requires thorough coverage.
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 · 245 lines · 83 tokens per session scan A 7f316ff4d99c
business-planner is an agent published in the GitHub repository acaprino/daodan (8 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 2,494 once invoked, about $0.0004 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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