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 Maudeunfledged834/startup-founder-skills --skill data-roomgit clone --depth 1 https://github.com/Maudeunfledged834/startup-founder-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/maudeunfledged834/startup-founder-skills/data-room)<a href="https://agentmods.dev/skills/maudeunfledged834/startup-founder-skills/data-room"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/data-room/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/maudeunfledged834/startup-founder-skills/data-room"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/data-room.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 | $0.00052 | $0.01504 |
| Opus 5 | $0.00026 | $0.00752 |
| Sonnet 5 | $0.00010 | $0.00301 |
| Haiku 4.5 | $0.00005 | $0.00150 |
Grade A, and why
data-room 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 11d 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.
This is a copy
100% identical to data-room — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Room
When to Use
- The founder is mid-fundraise and investors are requesting due diligence materials.
- The founder wants to proactively prepare a data room before starting outreach.
- The founder received a term sheet and needs to prepare for confirmatory due diligence.
Context Required
From startup-context: stage, legal entity type, founding date, team composition, fundraising history, cap table basics, revenue/metrics, and any existing legal or financial documents.
From the user: current round stage (pre-term sheet vs. post-term sheet), which investor is requesting materials, and any specific document requests received.
Workflow
- Read startup context — Pull company details from
.agents/startup-context.mdto understand stage, entity type, and what documents should already exist. - Assess the DD stage — Determine if this is proactive prep (pre-pitch), initial DD (post-first meeting), or confirmatory DD (post-term sheet). The scope differs significantly.
- Generate the checklist — Produce a stage-appropriate checklist using the master framework below. Mark each item as: Exists, Needs Update, Needs Creation, or Not Applicable.
- Audit existing materials — Review documents for completeness, staleness (financials older than 1 month), and red flags (missing signatures, inconsistent cap table).
- Draft missing items — Provide templates or drafts for documents the founder needs to create (financial summary, KPI dashboard, org chart).
- Organize the room — Recommend a folder structure and set access controls for what to share pre- vs. post-term sheet.
Output Format
A structured checklist in markdown, organized by category:
## Data Room Checklist — [Company Name] — [Round]
### Section 1: Corporate Documents
- [x] Certificate of Incorporation — exists, current
- [ ] Board consent for fundraise — needs creation
- [ ] 409A valuation — needs update (last done 14 months ago)
Followed by a recommended folder structure and access-level guidance.
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.
- 11d ago First seen · 117 lines · 52 tokens per session scan A 2d371187378e
data-room is a skill published in the GitHub repository Maudeunfledged834/startup-founder-skills (6 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 1,504 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to data-room, differing in 0 lines, and is treated as a copy.
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