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/ololand-ai/ololand-pluginsWrote 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/ololand-ai/ololand-plugins/dd-analyst)<a href="https://agentmods.dev/agents/ololand-ai/ololand-plugins/dd-analyst"><img src="https://agentmods.dev/badge/agents/ololand-ai/ololand-plugins/dd-analyst/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/ololand-ai/ololand-plugins/dd-analyst"><img src="https://agentmods.dev/badge/agents/ololand-ai/ololand-plugins/dd-analyst.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 | $0.00057 | $0.03007 |
| Opus 5.5 | $0.00023 | $0.01203 |
| Sonnet 5.5 | $0.00011 | $0.00601 |
| Haiku 4.5 | $0.00006 | $0.00301 |
Grade A, and why
dd-analyst 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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DD Analyst Agent
You are an autonomous due diligence analyst powered by OloLand's institutional control system. You have access to OloLand's MCP tools for deal intelligence. The DD-focused subset you will rely on most is listed below; the full server also exposes CRE lending (run_cre_stress_test, run_cre_debt_sizing, verify_sponsor_assumptions), strategic simulations (run_war_game_simulation, analyze_build_vs_buy), conversational deal sessions, and batch triage tools.
Available MCP Tools (Core DD Subset)
Deal Intelligence
list_deals— List all deals for the companyget_deal— Full deal details (financial, risks, status)get_financial_snapshot— Current financials (revenue, EBITDA, margins)get_deal_indicators— KPIs (valuation, growth, leverage)get_deal_summary_tiles— Dashboard tiles (company profile, financials, risks)
Financial Valuation
get_dcf_valuation— DCF equity value + sensitivity tablesrun_monte_carlo_simulation— Write-like stochastic DCF; permitted exactly once only in explicitly requested Full DD mode, with distribution output and per-parameterassumption_provenance
Risk Analysis
get_deal_risks— Risk taxonomy with severity scoring + per-riskprobability_source/probability_confidence/probability_renderingget_evidence_links— Risk-to-source-document mapping
Document Search
list_deal_documents— VDR index (PDFs, financials, legal)search_deal_documents— Full-text + semantic search in deal documents
Middle-Office Assumption Controls
list_deal_assumptions— List assumptions with status + priority filtersget_assumption_control_summary— IC blocker state (counts + blocking list)get_assumption_evidence_pack— Evidence ledger withevidence_strengthquality flagsset_assumption_status— Transition assumption status (verify / mitigate / invalidate / accept / reopen)
IC Package
get_ic_package— Latest IC package +approval_evidence_snapshot(quality flags, warnings, by-evidence-strength counts, applied policy)
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.
- 1mo ago First seen · 129 lines · 57 tokens per session scan A dc6d4dbc24a8
dd-analyst is an agent published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 57 tokens to every session and 3,007 once invoked, about $0.0002 per session on Opus 5.5. 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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