Borrowing it
Nothing to install: this file belongs to Bigred97/rba-mcp. 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/Bigred97/rba-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Bigred97/rba-mcpWrote 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/instructions/bigred97/rba-mcp/claude-md)<a href="https://agentmods.dev/instructions/bigred97/rba-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/rba-mcp/claude-md/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/instructions/bigred97/rba-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/rba-mcp/claude-md.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 | $0.00644 | $0.00644 |
| Opus 5.5 | $0.00258 | $0.00258 |
| Sonnet 5.5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
rba-mcp CLAUDE.md 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 2mo 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rba-mcp
Sister MCP in the Australian Public Data stack. See ../CLAUDE.md for
portfolio-wide conventions (tool surface, trust contract, quality bar, test
taxonomy, anti-patterns, release process — read it even though this session
may not auto-load it if started inside this repo). Use the sister-release
skill for releases.
Source
| Source agency | Reserve Bank of Australia (RBA) |
| Source URL | https://www.rba.gov.au/statistics/tables/ |
| Data format | F-table CSV downloads |
| Licence | CC-BY 4.0 International |
| Licence URL | https://creativecommons.org/licenses/by/4.0/ |
| Python module | rba_mcp |
| PyPI package | rba-mcp |
| GitHub | https://github.com/Bigred97/rba-mcp |
Curated datasets (15)
F1.1 (money market) · F2 (govt bond yields daily) · F2.1 (govt bond yields monthly) · F4 (deposit/inv rates) · F5 (indicator lending rates) · F6 (housing lending) · F7 (business lending rates) · F8 (personal lending rates) · F11 (FX monthly) · F11.1 (FX daily) · D1 (credit growth) · D2 (credit aggregates levels) · C1 (credit-card statistics) · G3 (inflation expectations) · E2 (household leverage ratios)
Repo-specific module set
Extras beyond the standard sister module set (see parent): parsing.py —
F-table CSV reader (rows 1-5 are metadata, row 11 is series ID, data starts
row 12); tables.py — F-table registry (currently 5 curated, ~50
published).
Repo-specific gotchas
- F-table CSVs have a non-standard header — row 6 is Units, row 11 is Series ID (NOT row 5 / row 8 as generic RBA docs suggest).
- Tool names diverge from the parent's standard
search_*/describe_*pattern by design:search_tables/describe_table, because the data shape is tables-not-datasets. end_datesnaps to the LAST instant of its period (soend_date='2024'includes all of 2024, not just Jan 1).- Trusted Publishing was set up in 0.1.6 — first sister to do so.
top_nis intentionally absent. F-table CSVs are flat series-by-time matrices — each series ID is its own column, with no entity dimension to rank across. Addingtop_nwould require synthesising a "top series" concept that isn't natively meaningful on F-tables. Customers wanting comparative views should usedescribe_table()to see available series and callget_data()with the series IDs they care about.
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.
- 2mo ago Changed · -89 lines · -1,272 tokens per session 09b625e252a4
- 2mo ago First seen · 134 lines · 1,916 tokens per session scan A 13e6283727ae
rba-mcp CLAUDE.md is an instructions file published in the GitHub repository Bigred97/rba-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 644 tokens to every session, about $0.0026 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 2026-08-31.
rba-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rba-mcp CLAUDE.mdBigred97/rba-mcp | Instructions file | 0 | 1mo ago | MIT | A | 644 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |