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/ebitda-bridge)<a href="https://agentmods.dev/commands/ololand-ai/ololand-plugins/ebitda-bridge"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ebitda-bridge/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/ebitda-bridge"><img src="https://agentmods.dev/badge/commands/ololand-ai/ololand-plugins/ebitda-bridge.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 | $0.00026 | $0.00911 |
| Opus 5.5 | $0.00010 | $0.00364 |
| Sonnet 5.5 | $0.00005 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
ebitda-bridge 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 11d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EBITDA Bridge
Help the user review management's add-backs without treating computed scenario totals or heuristic classifications as accepted normalized earnings. Confirm the connected tool's current live schema, availability, authorization, and execution requirements before invoking it. Package instructions do not prove that a backend contract has been deployed or admitted to the current host.
Usage
/ebitda-bridge <deal_id>
Arguments
deal_id(required) — An accessible deal selected by the user.- On OpenAI,
financial_datais also required: a finite numericalreported_ebitdaand an explicitadjustmentslist. Each supplied row needslabeland numericalamount; use only optional fields accepted by the live schema. Do not invent missing values, coerce text or booleans to numbers, or supply classification, confidence, approval, or canonical-basis overrides. - An explicitly supplied empty list is the caller's assertion, not evidence that no adjustments exist. Missing or null inputs remain a gap.
Execution
- On OpenAI, ask for missing explicit values and the adjustment schedule;
call
build_ebitda_bridge(deal_id, financial_data=financial_data)only after the live schema and the user's authorization are confirmed. Never make a deal-only call or infer the inputs from a stored financial snapshot, CIM, workbook, or data-room extraction on this path. On other hosts, permitbuild_ebitda_bridge(deal_id)without requiring explicit supplied values when the current live schema supports native snapshot fallback. Preserve the response's actual basis and evidence limitations. - The OpenAI bridge is a pure caller-supplied scenario. It does not retrieve source documents, verify supplied source claims, approve adjustments, or establish a canonical earnings basis. Any recurrence, categorization, documentation, tie-out, or owner-compensation checks are bounded heuristics over supplied inputs. A supplied documentation label does not prove support.
- Report actual returned arithmetic and flags. In the OpenAI output,
base_ebitdanames the supplied base; the input keyreported_ebitdadoes not prove the company reported it. Preserveebitda_basis_label,basis_is_canonical=false,input_provenance=caller_supplied_unverified, andevidence_verification=not_performed. Explain any returnedheuristic_quality_scoreorheuristic_risk_levelas a heuristic of the supplied scenario, not company earnings quality or approval. - Preserve returned totals, deductions, tie-out gaps, projection gaps, and
partial states. Do not claim the engine excluded questionable add-backs:
OpenAI totals have
totals_basis=all_supplied_adjustments. Never turn a returned classification into analyst acceptance or remove rows to manufacture a defensible total. Zero-base undefined ratios/scores remain gaps even when totals are computable. - Distinguish supplied
source/documentation labels and returnedsource_claimfields from real citations. A caller claim is not an authorized File/page identity, a verified source quote, or an evidence receipt. List the evidence still needed to assess recurrence, supporting amounts, replacement compensation, and adjustment eligibility. Independent source verification and authorized human judgment remain necessary for accepted normalized earnings; this bridge alone cannot establish them.
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.
- 11d ago Changed · +33 lines · -8 tokens per session 4857a977a44f
- 1mo ago First seen · 48 lines · 34 tokens per session scan A b7cc975f6678
ebitda-bridge is a command published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 3d ago), licensed Apache-2.0. It adds 26 tokens to every session and 911 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 2026-09-03.
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