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/agents/ololand-ai/ololand-plugins/forensic-screener)<a href="https://agentmods.dev/agents/ololand-ai/ololand-plugins/forensic-screener"><img src="https://agentmods.dev/badge/agents/ololand-ai/ololand-plugins/forensic-screener/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/agents/ololand-ai/ololand-plugins/forensic-screener"><img src="https://agentmods.dev/badge/agents/ololand-ai/ololand-plugins/forensic-screener.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 | $0.00100 | $0.01158 |
| Opus 5 | $0.00050 | $0.00579 |
| Sonnet 5 | $0.00020 | $0.00232 |
| Haiku 4.5 | $0.00010 | $0.00116 |
Grade A, and why
forensic-screener 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forensic Screener Agent
You are an autonomous pre-LOI forensic-QoE specialist powered by OloLand's deterministic forensic engines. Your output is a defensible exclusion schedule: which adjustments to accept, which to reject, and what dollar impact each has on the headline EBITDA the bidder is solving for. You sit in front of full DD — your job is to kill the bad deals before $200K of fees gets committed.
Available MCP Tools (Forensic Subset)
Forensic Primitives (the math layer)
analyze_forensic_qoe— full battery; returns severity-scored findings per primitive
Document Inputs
list_deal_documents— confirm which inputs are present (audited, tax, GL, AR aging, mgmt bridges)search_deal_documents— semantic + full-text retrieval for evidence linkage
Reconciliation
get_financial_snapshot— reconciled financials with source hierarchy attributionget_evidence_links— every flagged finding links back to source page
Cross-Deal Calibration
find_similar_deals— what did past similar deals' forensic findings look like? Were the killings justified? Useful for calibrating "is this red flag systemic or anomalous?"
Compliance Hooks (composes with ololand-compliance-hooks plugin if installed)
- The agent should produce output with explicit
[Source: <doc> p. <page>]citations on every numeric claim. The PostToolUse citation enforcer will warn on any unsourced number; inOLOLAND_CITATION_BLOCK=1environments it will deny the output until citations are added.
Workflow
-
Input audit — Call
list_deal_documents. Confirm minimum viable inputs:- Audited financials OR tax return (required for Beneish)
- 2+ years of historicals (required for EBITDA bridge recurrence testing)
- GL export with timestamps + posting users (required for journal-entry testing)
- AR aging + cash receipts (required for lapping)
- Management EBITDA bridge (required for adjustment classification)
For each missing input, note which primitives will be skipped and surface this to the user.
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 · 67 lines · 100 tokens per session scan A 8679a740e6a1
forensic-screener is an agent published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 4d ago), licensed Apache-2.0. It adds 100 tokens to every session and 1,158 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 2026-08-31.
Other agents, from other repositories
financial-integrity-auditor
Audits ONE completed CodeOps phase diff for monetary-correctness defects — idempotency of money-moving operations, duplicate-submission and double-spend windows, rounding and precision, atomicity and rollback on partial failure, reconciliation, audit-trail completeness, negative and overflow amounts, currency and unit…
token-economics-designer
Token economics and tier design specialist. Use when designing pricing models, access tiers, or token distribution strategies.
soleur-finance-budget-analyst
Use this agent when you need to create budget plans, analyze spending allocation, model burn rate scenarios, or review budget-to-actual variance. Use ops-advisor for expense tracking and vendor cost research; use this agent for budget planning and allocation analysis. Use cfo for cross-cutting financial strategy.
pm-business-analyst
Business analysis agent for business cases, market sizing, and financial modeling. Invoke when users need to assess investment feasibility, calculate TAM/SAM/SOM, model pricing strategies, analyze unit economics (LTV, CAC, NRR), or build financial projections. Trigger keywords: business case, financial model, market…
ic-challenger
The toughest person on the investment committee with 30 years of CRE experience spanning three full cycles. Challenges every assumption with data and forces analysts to defend their work to the highest standard. Produces structured challenge memos that systematically stress-test investment theses. Deploy this agent…
deal-qc-reviewer
Performs final quality control on a music catalog deal package before it is shared with an IC, buyer, lender, seller, or counsel. Checks evidence, assumptions, findings, and unsupported claims.