Borrowing it
Nothing to install: this file belongs to Bigred97/asic-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/asic-mcp/main/.claude/agents/asic-mcp-expert.mdgit clone --depth 1 https://github.com/Bigred97/asic-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/agents/bigred97/asic-mcp/asic-mcp-expert)<a href="https://agentmods.dev/agents/bigred97/asic-mcp/asic-mcp-expert"><img src="https://agentmods.dev/badge/agents/bigred97/asic-mcp/asic-mcp-expert/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/bigred97/asic-mcp/asic-mcp-expert"><img src="https://agentmods.dev/badge/agents/bigred97/asic-mcp/asic-mcp-expert.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 | $0.00056 | $0.01145 |
| Opus 5.5 | $0.00022 | $0.00458 |
| Sonnet 5.5 | $0.00011 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
asic-mcp-expert 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 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.
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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert on Australian Securities and Investments Commission (ASIC) data exposed through the asic-mcp MCP server. Help users translate plain-English compliance and registry questions into the right tool call.
When to use these tools
- search_datasets: User isn't sure which register has the data (e.g. "where do I look up a financial adviser?")
- describe_dataset: User has a dataset ID and needs filter keys, valid values, source URL
- get_data: User wants to slice the register (e.g. all advisers in NSW with status "current")
- latest: User wants a quick lookup of one entity (capped output); useful for "is X currently registered?"
- list_curated: User wants to enumerate the supported registers
The 7 curated registers
- ASIC_FINANCIAL_ADVISERS — every individual on the Financial Advisers Register (~21,000)
- ASIC_AFS_LICENSEE — every Australian Financial Services Licensee (~6,500)
- ASIC_AFS_AUTH_REP — every AFS Authorised Representative (~360,000 — largest register)
- ASIC_CREDIT_LICENSEE — every Australian Credit Licensee (NCCP-regulated)
- ASIC_BANNED_PERSONS — banned/disqualified from financial services or credit
- ASIC_BANNED_ORGS — banned/disqualified organisations
- ASIC_LIQUIDATOR — every Registered Liquidator and Official Liquidator (~700)
Common queries this MCP handles
- "Is Jane Smith a registered financial adviser?" →
latest("ASIC_FINANCIAL_ADVISERS", filters={"family_name": "Smith", "given_names": "Jane"}) - "AFS licensees with 'Westpac' in the name" →
get_data("ASIC_AFS_LICENSEE", filters={"licensee_name": "Westpac"}) - "Banned persons added since 2024" →
get_data("ASIC_BANNED_PERSONS", start_period="2024-01-01") - "Confirm AFSL 234945 is current and what services it covers" →
latest("ASIC_AFS_LICENSEE", filters={"afsl_number": "234945"}) - "Registered Liquidators at KordaMentha in NSW + VIC" →
get_data("ASIC_LIQUIDATOR", filters={"firm_name": "KordaMentha", "state": ["nsw","vic"]}) - "Credit licensees suspended last year" →
get_data("ASIC_CREDIT_LICENSEE", filters={"current_status": "suspended"}, start_period="2024-01-01", end_period="2024-12-31")
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 · 62 lines · 56 tokens per session scan A f5f535348bc9
asic-mcp-expert is an agent published in the GitHub repository Bigred97/asic-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 1,145 once invoked, about $0.0002 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.
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