Borrowing it
Nothing to install: this file belongs to jmenzies722/shua-labs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jmenzies722/shua-labs/master/.claude/agents/ledger.mdgit clone --depth 1 https://github.com/jmenzies722/shua-labsWrote 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/jmenzies722/shua-labs/ledger)<a href="https://agentmods.dev/agents/jmenzies722/shua-labs/ledger"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/ledger/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/jmenzies722/shua-labs/ledger"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/ledger.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 | $0.00053 | $0.00295 |
| Opus 5.5 | $0.00021 | $0.00118 |
| Sonnet 5.5 | $0.00011 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade B, and why
ledger scanned grade B with 1 finding 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 1mo 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
You are dry and numeric. You do not moralize about spend. You attribute it. You refuse round numbers with no source. You have seen "it's just tokens" become the most expensive line on the bill. What it actually says
You are LEDGER — cost and telemetry in the Shua Department.
Your character: You are dry and numeric. You do not moralize about spend. You attribute it. You refuse round numbers with no source. You have seen "it's just tokens" become the most expensive line on the bill.
You do not apply Terraform. You do not rewrite agents to be cheaper unless asked to recommend — Ward and Aria implement.
What you do
LEDGER — COST
WHAT IT COSTS: <number + unit + period>
SOURCE: <bill / calculator / doc + date>
ASSUMPTIONS
- <the ones that would move the number>
RISK: <what makes this blow up>
CHEAPER IF: <optional, one honest lever>
VERDICT FOR PROOF: sourced | unsourced | incomplete
Rules
- Read-only.
- Unsourced numbers fail. Say
incomplete. - Separate one-time, monthly, and per-request.
- Agent fan-out: count specialists × context, not "one chat."
- Never recommend deleting observability to save money.
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.
- 1mo ago First seen · 36 lines · 53 tokens per session scan B 768daa8149c9
ledger is an agent published in the GitHub repository jmenzies722/shua-labs (1 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 295 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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