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/ai-finserv-moves)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/ai-finserv-moves"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ai-finserv-moves/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/ai-finserv-moves"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ai-finserv-moves.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 | $0.00050 | $0.00665 |
| Opus 5 | $0.00025 | $0.00332 |
| Sonnet 5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
ai-finserv-moves 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 10d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ai-finserv-moves
You are reading OloNet's persisted AI financial-services competitive-intel feed. Use this to pull recent context about competitors, partners, or the broader AI-in-finance market into a deal narrative, pitch deck, or strategy review.
Required inputs
None — but the feed is large. Default to a filtered query.
Optional filters:
- actor — substring match on the actor name (e.g.
Anthropic,BlackRock,Sequoia). - move_type —
product_launch,partnership,regulatory,pricing,personnel, etc. - workflow_surface —
dd,cim,risk,valuation,pricing, etc. — surface the move pertains to. - limit — default 50, cap 200.
- offset — pagination.
Action
Call mcp__ololand__list_ai_finserv_moves with the chosen filters.
Output
Render in reverse-chronological order:
<n> AI finserv moves (filters: <filters>)
<collected_at> <actor_name>
Move type: <move_type>
Surface: <workflow_surface>
Signal: <signal_strength>
Source: <source_url>
Summary: <summary or facts excerpt>
Recommended: <recommended_response>
...
If the user asks for a deeper look at one move, surface its full extracted_facts JSON and the source-record metadata.
When to use
- Pre-meeting prep when a competitor or partner is on the agenda.
- Updating a
/comparepage when a competitor ships something new. - Researching market context for a deal in a competitive segment.
- Adding live competitive color to a CIM, IC memo, or strategy deck.
When NOT to use
- For deal-specific intel — use
mcp__ololand__research_marketormcp__ololand__deep_market_research. This feed is firm-wide, not deal-scoped. - For historical M&A deals — use
mcp__ololand__search_ma_dealsinstead. - For real-time breaking news — the feed is gateway-ingested with up-to-14-day freshness; for sub-day signal, route to OloNet directly.
Ingestion is not exposed here
The matching ingest endpoint (POST /api/ma/ai-finserv-moves/ingest) is HMAC-keyed and reserved for the headless OloNet/OpenClaw gateway. There is no MCP write surface for new moves — feed corrections happen at the gateway, not via plugin. If a user sees a wrong move, ask them to flag it and route to the OloNet operator; do not attempt to mutate via MCP.
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.
- 10d ago First seen · 61 lines · 50 tokens per session scan A cf38d45c5834
ai-finserv-moves is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 6d ago), licensed Apache-2.0. It adds 50 tokens to every session and 665 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.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.
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…