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/carta/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/carta/plugins/financials-review)<a href="https://agentmods.dev/commands/carta/plugins/financials-review"><img src="https://agentmods.dev/badge/commands/carta/plugins/financials-review/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/carta/plugins/financials-review"><img src="https://agentmods.dev/badge/commands/carta/plugins/financials-review.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 | $0.00031 | $0.00199 |
| Opus 5 | $0.00015 | $0.00100 |
| Sonnet 5 | $0.00006 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
financials-review 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 yesterday.
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.
What it actually says
/carta-investors:financials-review
Invoke Skill(carta-investors:carta-financials) with the arguments review $ARGUMENTS.
The first word, review, is the route. Everything after it is the session: a reference
shaped organizations/<org_pk>/extraction-sessions/<session_id>, or explicit
org-id=<org_pk> session-id=<session_id>. If $ARGUMENTS is empty, pass review alone and
let the skill ask for the session.
The skill's review reference owns the flow from here. Never the upload flow.
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.
- yesterday First seen · 17 lines · 31 tokens per session scan A 1edb44c9d4b6
financials-review is a command published in the GitHub repository carta/plugins (13 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 199 once invoked, about $0.0002 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 2026-09-09.
Other commands, from other repositories
earnings-preview
Earnings preview presentation — 4-6 slide deck with consensus estimates, historical surprises, forward catalysts.
research-doc
Deep document research with evidence tiers and cross-referencing.
budget
Grant budget spreadsheet generation with forcing questions and task integration.
workbook
List, read, create, or template-populate deal-scoped OloLand workbooks for analysis handoff.
convert
Use when the user attaches a bank statement PDF or asks for CSV/XLSX/QBO/Xero export of a converted statement. Do not use for spending analysis, reconciliation, or benchmark scoring — those have their own skills.
clean
Turn messy or multi-format CSV exports into one clean, categorized, analysis-ready file.