Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PostOakLabs/ainumbers --skill credit-model-ai-actgit clone --depth 1 https://github.com/PostOakLabs/ainumbersWrote 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/skills/postoaklabs/ainumbers/credit-model-ai-act)<a href="https://agentmods.dev/skills/postoaklabs/ainumbers/credit-model-ai-act"><img src="https://agentmods.dev/badge/skills/postoaklabs/ainumbers/credit-model-ai-act/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/skills/postoaklabs/ainumbers/credit-model-ai-act"><img src="https://agentmods.dev/badge/skills/postoaklabs/ainumbers/credit-model-ai-act.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 | $0.00041 | $0.00560 |
| Opus 5.5 | $0.00016 | $0.00224 |
| Sonnet 5.5 | $0.00008 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
credit-model-ai-act 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 15d 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.
What it actually says
Credit model AI Act pack
Score credit default risk and produce the EU AI Act conformity pack for the model.
Prompt
Put the credit model's governance evidence where an examiner can recompute it.
- Call score_credit_default_risk on a synthetic applicant pool. Record the score distribution and the top features the model used.
- Call assess_ai_act_conformity for the model as a high-risk system under the AI Act. Record each requirement's evidence verdict (data governance, logging, human oversight, accuracy).
- Run the chain ai-governance-credit-ai-conformity with run_chain. Record the composed verdict and execution_hash.
- Gap list: name the conformity items with no evidence yet and who owns each.
- build_session_receipt over the scoring run, the conformity assessment, and the chain; give me the ledger link.
- Write the note for the model-risk committee: the conformity status, the gap owners, and the ledger link, so the committee's evidence survives model retraining by re-running the same receipt. Call shape: every ChainGraph node tool takes its arguments nested under one wrapper object, e.g. {"policy_parameters": { ... }}; flat arguments are discarded by schema validation. If a named tool is not in your tool list, call call_tool with { "name": "", "arguments": { … } }. It runs the same validation and returns the same receipt. GPU note: the score_credit_default_risk tool computes in your browser, so the MCP endpoint returns no execution_hash; export the Policy Mandate artifact the page produces and pass that full artifact to verify_execution_hash as claimed_hash.
How to run
Connect an MCP-capable host to https://mcp.ainumbers.co/mcp, then give the prompt above to the assistant.
Use synthetic inputs only. Never paste personal or production data.
Verify what came back
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.
- 15d ago Changed c8f7e30ac6e5
- 19d ago First seen · 40 lines · 41 tokens per session scan A b5dce5337f50
credit-model-ai-act is a skill published in the GitHub repository PostOakLabs/ainumbers (11 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 560 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 2026-09-27.
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