Borrowing it
Nothing to install: this file belongs to Bigred97/aihw-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/aihw-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Bigred97/aihw-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/aihw-mcp/claude-md)<a href="https://agentmods.dev/instructions/bigred97/aihw-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/aihw-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/aihw-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/aihw-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 | $0.01739 | $0.01739 |
| Opus 5 | $0.00870 | $0.00870 |
| Sonnet 5 | $0.00348 | $0.00348 |
| Haiku 4.5 | $0.00174 | $0.00174 |
Grade A, and why
aihw-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 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aihw-mcp
Sister MCP in the Australian Public Data stack. See ../CLAUDE.md for
portfolio-wide conventions; this file captures repo-specific details
plus the cross-sister discipline.
Source
| Source agency | Australian Institute of Health and Welfare (AIHW), via data.gov.au |
| Source URL | https://data.gov.au/dataset/?organisation=australian-institute-of-health-and-welfare |
| Data format | XLSX (Excel) via CKAN-discovered URLs on data.gov.au |
| Licence | CC-BY 3.0 Australia |
| Licence URL | https://creativecommons.org/licenses/by/3.0/au/ |
| Python module | aihw_mcp |
| PyPI package | aihw-mcp |
| GitHub | https://github.com/Bigred97/aihw-mcp |
Curated datasets (8)
GRIM_DEATHS · MORT_GEOGRAPHY · CANCER_INCIDENCE_MORTALITY · HEALTH_EXPENDITURE · PUBLIC_HOSPITALS · YOUTH_JUSTICE_DETENTION · ED_WAITING_TIMES · ELECTIVE_SURGERY_WAITING_TIMES
Repo-specific module set
Required (every sister): server.py, models.py, curated.py, client.py, cache.py, shaping.py, data/curated/*.yaml
Repo-specific extras:
parsing.py — XLSX readerdiscovery.py — CKAN auto-discoverycatalog.py — search ranking
Repo-specific gotchas
- Licence is CC-BY 3.0 AU, matching APRA / ATO / ASIC.
- Most AIHW publications are PDF-only — only datasets with machine-readable XLSX on data.gov.au (plus the two MyHospitals JSON-API datasets) are curated.
- GRIM (General Record of Incidence of Mortality) goes back to 1907 — wide historical range, watch out for series breaks (1996 reclassification).
The core 5-tool surface (uniform across sisters — mandatory)
The 5 below are the uniform brand. Additional tools (e.g. top_n, stats) are
allowed where the data shape genuinely needs them — they must use the same
Annotated[Field] discipline and DataResponse envelope as the core 5.
search_*(query, limit)— fuzzy search across known datasets/tables/locationsdescribe_*(id)— schema + filter values + source URLget_data(id, filters, start_period, end_period, format)— querylatest(id, filters)— current snapshot (caps tolimitfor register data)list_curated()— enumerate supported IDs
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 · 128 lines · 1,739 tokens per session scan A d5ac785f2abd
aihw-mcp CLAUDE.md is an instructions file published in the GitHub repository Bigred97/aihw-mcp (0 stars, last pushed 23d ago), licensed MIT. It adds 1,739 tokens to every session, about $0.0087 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.
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