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/source)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/source"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/source/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/source"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/source.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 | $0.00023 | $0.02649 |
| Opus 5.5 | $0.00009 | $0.01060 |
| Sonnet 5.5 | $0.00005 | $0.00530 |
| Haiku 4.5 | $0.00002 | $0.00265 |
Grade A, and why
source 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 29d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deal Sourcing
End-to-end sourcing pipeline that compounds: every selected company persists in the tenant-owned sourcing ledger before contact enrichment or outreach begins.
Usage
/source <criteria>
/source map private ecommerce seller software, trust and fulfillment tools
/source brief <watchlist_id> since 2026-09-21
/source connections
If no criteria are provided, ask for capabilities or sector, geography, stage or size preferences, and exclusions. Early-stage capability searches need not have revenue or EBITDA data; keep unavailable financials unknown.
Select the workflow
Route connections, brief, and map before thesis/default sourcing intent.
Requests for a company landscape, database, or research-only shortlist use
map; requests to review an existing pipeline or prepare its weekly brief use
brief. These modes do not capture contacts, draft outreach, promote deals,
or activate delivery. A recurring-delivery request is a separate scheduling
task, not satisfied by generating a brief.
Execute exactly one branch and return its output. After connections, brief,
or map completes, stop; never fall through to the default sourcing pipeline
or its contact/outreach steps. Only a separate user request can start another
branch.
If a request combines mapping with creating/updating a standing thesis and does not choose which to do first, resolve that order before any write. Do not silently discard one intent or chain the two write workflows.
Connections — establish what can actually be read
Inventory only tools available in this session. The plugin declares OloLand's MCP server; it does not install or authenticate Google Drive, Slack, Gmail, Calendar, Obsidian, or an internal forum connector.
If the host already exposes a source connector, use it for a small read of a user-selected permitted source. Report the source reference, access outcome, and intended use. Do not infer working access from the presence of a tool. When no connector is available, report that gap and use a selected-file import or the client's connector setup flow. Never request tokens in chat.
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.
- 29d ago Changed · +101 lines · +4 tokens per session 44ca41dc930e
- 1mo ago First seen · 116 lines · 19 tokens per session scan A 4ac9b315964c
source is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,649 once invoked, about $0.0001 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.
Other commands, from other repositories
analyze-bond-rv
Analyze a bond's relative value vs yield curves and credit spreads with scenario stress testing.
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).
cost-per-task
Compute cost-per-successful-task unit economics from usage and cost data, including retries, failures, and quality thresholds.
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.