Borrowing it
Nothing to install: this file belongs to Bigred97/wgea-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/wgea-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Bigred97/wgea-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/wgea-mcp/claude-md)<a href="https://agentmods.dev/instructions/bigred97/wgea-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/wgea-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/wgea-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bigred97/wgea-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 | $0.02664 | $0.02664 |
| Opus 5 | $0.01332 | $0.01332 |
| Sonnet 5 | $0.00533 | $0.00533 |
| Haiku 4.5 | $0.00266 | $0.00266 |
Grade A, and why
wgea-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 2d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sister MCP in the Australian Public Data stack. Shared conventions live in
../CLAUDE.md(not auto-loaded from here — read it); releases via thesister-releaseskill. THIS repo deliberately diverges from the shared boilerplate (custom tool signatures / release trigger), so this file keeps its full content. [pointer added 2026-08-20]
wgea-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 | Workplace Gender Equality Agency (WGEA) |
| Source URL | https://data.gov.au/data/dataset/wgea-dataset |
| Data format | Annual ZIP-of-CSVs (Public Data File, ~71 MB) via data.gov.au CKAN |
| Licence | CC-BY 3.0 Australia |
| Licence URL | https://creativecommons.org/licenses/by/3.0/au/ |
| Python module | wgea_mcp |
| PyPI package | wgea-mcp |
| GitHub | https://github.com/Bigred97/wgea-mcp |
Curated datasets (8)
WORKFORCE_COMPOSITION · WORKFORCE_MANAGEMENT · GENDER_EQUALITY_ACTIONS · PARENTAL_LEAVE_FLEX · HARM_PREVENTION · EMPLOYEE_SUPPORT · WORKPLACE_OVERVIEW · HEADLINE_GAP
HEADLINE_GAP is the odd one out — it's format: xlsx_aggregated, sourced
from a stable URL on wgea.gov.au (not data.gov.au), and aggregated
server-side to ~20 rows (19 ANZSIC divisions + 1 synthetic "All employers"
national row). The other 7 are format: csv_in_zip and route through the
Public Data File ZIP discovery on data.gov.au.
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— CSV-from-ZIP extraction (WGEA ships one annual ZIP containing the seven thematic CSVs)discovery.py— 2-tier resolver: live CKANpackage_showfor the newest Public Data File, fallback to bundleddata/seed_urls.jsonmanifestcatalog.py— search ranking across the seven curated datasets
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.
- 2d ago Changed · +6 lines · +86 tokens per session 06f4dc7eefbb
- 8d ago First seen · 173 lines · 2,578 tokens per session scan A 34fd79caa660
wgea-mcp CLAUDE.md is an instructions file published in the GitHub repository Bigred97/wgea-mcp (0 stars, last pushed 2d ago), licensed MIT. It adds 2,664 tokens to every session, about $0.0133 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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