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/commands/ololand-ai/ololand-plugins/new-deal)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/new-deal"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/new-deal/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/commands/ololand-ai/ololand-plugins/new-deal"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/new-deal.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 | $0.00071 | $0.01375 |
| Opus 5 | $0.00036 | $0.00687 |
| Sonnet 5 | $0.00014 | $0.00275 |
| Haiku 4.5 | $0.00007 | $0.00137 |
Grade B, and why
new-deal scanned grade B with 1 finding 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
- For a private target that has filed an S-1: the S-1 is auto-ingested during creation. Confirm via `list_deal_documents(deal_id)` — an S-1 in the data room shows up as a normal document; a detected-but-not-yet-ingested How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Deal
Create an OloLand deal in seconds. Type a public ticker (e.g. SNOW) and the system auto-pulls the latest canonical annual filing (10-K, 20-F, or 40-F, with substantive exhibits) from the relevant filing source plus 5 years of standardized financials from FMP. Type a private company name and it seeds the workspace from web research — and if that private target has filed a public S-1 / IPO-registration statement, the s1_watcher pipeline auto-fetches the S-1 into the data room so the analysis can cite it by S-1 page. A confidential DRS draft cannot be ingested — its body is sealed at the SEC until conversion to a public S-1, so the read stays press-based until then.
Usage
/new-deal <company name or ticker>
Arguments
<company name or ticker>(required) — Free text. Examples:Snowflake,SNOW,MSFT,Stripe,stripe.com.
Execution
The instruction below is for the model executing this command.
Developer can create deals. Developer is a bounded single-deal trial —
create_dealruns on Developer (one active deal, metered against the monthly credit budget). Never pre-refuse deal creation; if the one-deal limit is reached, surface the tool's upgrade CTA.
-
Resolve the company first. Call the
resolve_companyMCP tool with the user's query. If the user typed a clean ticker (SNOW,MSFT,BRK.B), passhint="public". Otherwise leavehintunset. -
Show the candidates. If
resolve_companyreturns multiple candidates above 0.7 confidence, list them concisely (top 3-5) with name, ticker (if any), exchange, and Public/Private classification. Ask which one the user means. If a single high-confidence match comes back, you can skip the confirmation. -
Create the deal. Call
create_dealwith:query— the user's original text (preserved for the audit trail).ticker_override— set to the picked candidate's ticker (uppercased) if the user disambiguated. This bypasses the resolver so we don't risk a different result the second time.cik_override— set to the picked candidate's CIK if available.hint—"public"or"private"if the user was explicit.analysis_policy—"screen"(default) or"full". Prefer this canonical analysis-depth control. The legacydeal_mode("screening"/"formal_dd") is a compatibility alias; ask only if the user signals interest in formal DD.
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 · 63 lines · 71 tokens per session scan B 3296b7fdf921
new-deal is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,375 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
finops-status
Orientation — say where an opportunity or assignment sits in the five-step FinOps lifecycle and what unlocks next. Useful when a record has no active stage: an opportunity while its assignments do the work, an assignment whose plan has not been approved yet, or a rejected or archived assignment. Read-only; mutates…
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.