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/ic-memo-skeptical)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/ic-memo-skeptical"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ic-memo-skeptical/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/ic-memo-skeptical"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ic-memo-skeptical.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 | $0.00060 | $0.02874 |
| Opus 5 | $0.00030 | $0.01437 |
| Sonnet 5 | $0.00012 | $0.00575 |
| Haiku 4.5 | $0.00006 | $0.00287 |
Grade A, and why
ic-memo-skeptical 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skeptical IC Memo
Compose an IC-defensible investment memo using OloLand's lower-level tile + web-fetch pattern. Designed to produce the output style that survives IC scrutiny — every $-figure cited, every engine output framed as [finding] or [gap], no boilerplate gating conditions, no overtrusted simulation outputs.
This is the preferred memo entry point as of 2026-05-12. run_due_diligence is a separate bounded extraction pipeline; it does not run valuation, war-game, forensic QoE, conflict detection, or memo generation. The deprecated generate_investment_memo entry point invokes the memo task without the public-facts freshness precondition. /ic-memo-skeptical makes each additional read or bounded engine call explicit and hard-codes the orchestration that produces tighter artifacts.
Usage
/ic-memo-skeptical <deal_id>
Arguments
deal_id(required) — The deal to memo. Works on both public-target (ticker / CIK) and private deals; the public-facts gate only fires when applicable.
Bounded Monte Carlo authority
The user's explicit invocation of, or unambiguous request to run, /ic-memo-skeptical <deal_id> authorizes exactly one run_monte_carlo_simulation(deal_id, n_simulations=10000, seed=42) call in Step 4 for that deal. It does not authorize any other valuation engine, war-game, different deal, retry, or later/background run. Automatic routing to this command or a generic request for memo commentary does not grant this authority. If the call fails or returns no simulation_id, record Monte Carlo as a [gap] and stop before drafting. If it succeeds, only the exact response carrying that new simulation_id may be used in the in-session draft. Never call compose_ic_memo from this command: that tool has no simulation-binding or MC-exclusion parameter and could reuse an older persisted simulation even after a successful new run. Never infer, substitute, or reuse a prior simulation identity.
Orchestration (every step is required; do not skip)
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 · 122 lines · 60 tokens per session scan A f2f9ee8c3832
ic-memo-skeptical is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 60 tokens to every session and 2,874 once invoked, about $0.0003 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.
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.