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/conflicts)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/conflicts"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/conflicts.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.01368 |
| Opus 5 | $0.00048 | $0.00684 |
| Sonnet 5 | $0.00019 | $0.00274 |
| Haiku 4.5 | $0.00010 | $0.00137 |
Grade A, and why
conflicts 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 3d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/conflicts (cross-document conflict detection)
Runs OloLand's Deal Document Conflict Detector over a deal's ingested documents. It reads the data room against itself and surfaces places where two documents disagree — a revenue figure that differs between the CIM and the audited financials, an ownership percentage that moves between the cap table and the SPA, a close date that conflicts across the LOI and the disclosure schedule. Each conflict is traced to the specific documents (and pages) that disagree, so it is a review item you can act on, not a vibe.
This is the discrepancy-hunting complement to /verify: /verify checks that the figures an artifact states are supported by the corpus; /conflicts hunts for places the corpus contradicts itself.
Usage
/conflicts <deal_id>
Arguments
deal_id(required) — the OloLand deal whose ingested documents to scan. Requires a deal with a populated data room (multiple documents — there is nothing to cross-check in a single file).
Execution
This is an asynchronous managed-agent run. Do not expect an immediate answer; start it, then poll.
- Start. Call
mcp__ololand__run_conflict_detectionwithdeal_id. It returns atask_id(withtask_type: "managed_conflict_detection").- If it returns
{"error": "Deal not found: …", "error_code": "not_found"}— the deal id is wrong; ask the user to confirm it withmcp__ololand__list_deals. - If it returns
{"error": "Company scope required …"}— the MCP connection is not company-scoped (it needs a database-backedolo_agent_sk_*key, which the OloLand connection provides on sign-in). Tell the user to reconnect / sign in, do not retry blindly. - If the tool itself errors (e.g. the managed executor is unavailable) the call fails closed — relay the error rather than presenting an empty "no conflicts" result.
- If it returns
- Poll. Call
mcp__ololand__check_task_statuswith thetask_idevery few seconds. WhilestateisSTARTED/PROGRESS, relay the progress message (it names each engine call, e.g.Engine call: reconcile_documents) so the user sees it working. Keep polling untilstateisSUCCESSorFAILURE. - On
FAILURE— report theerrorverbatim. Do not synthesize a conflict list from nothing. - On
SUCCESS— theresultobject is:status—"success"or"error". Check it: anerrorstatus means the run completed but the agent hit a problem mid-flight.error—nullon success; on anerrorstatus, the message string to relay.text— the conflict report itself: a structured list of conflicts (each with the conflicting sources, the disagreeing values, and a severity) plus a confidence / limitations note. This is the deliverable.run_id— the replayableagent_runsrow.artifact_id— the persistedconflict_reportartifact.tool_calls— how many engine calls the detector made.
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.
- 3d ago First seen · 71 lines · 95 tokens per session scan A 9292b304dce9
conflicts is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,368 once invoked, about $0.0005 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 2026-09-03.
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