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 mnemopay/mnemopay-sdk --skill ficogit clone --depth 1 https://github.com/mnemopay/mnemopay-sdkWrote 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/mnemopay/mnemopay-sdk/fico)<a href="https://agentmods.dev/skills/mnemopay/mnemopay-sdk/fico"><img src="https://agentmods.dev/badge/skills/mnemopay/mnemopay-sdk/fico/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/mnemopay/mnemopay-sdk/fico"><img src="https://agentmods.dev/badge/skills/mnemopay/mnemopay-sdk/fico.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 | $0.00038 | $0.00241 |
| Opus 5 | $0.00019 | $0.00120 |
| Sonnet 5 | $0.00008 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
fico 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 9d 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
Agent FICO Score
Use the MnemoPay MCP agent_fico_score tool to check an agent's credit score.
The Agent FICO score ranges from 300-850, similar to human credit scores:
- 300-579: Poor — high risk, limited transaction capabilities
- 580-669: Fair — some restrictions, building trust
- 670-739: Good — standard transaction limits
- 740-799: Very Good — elevated trust, higher limits
- 800-850: Exceptional — maximum trust, premium capabilities
When the user asks about credit score, trust, or reputation:
- Call
agent_fico_scoreto get the current score - Also call
reputationfor streak and badge info - Call
behavioral_analysisfor spending pattern insights - Present a clear summary of the agent's trustworthiness
$ARGUMENTS is optional — use as agent ID if provided.
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.
- 9d ago First seen · 24 lines · 38 tokens per session scan A d1c51bfbb10a
fico is a skill published in the GitHub repository mnemopay/mnemopay-sdk (8 stars, last pushed 21d ago), licensed Apache-2.0. It adds 38 tokens to every session and 241 once invoked, about $0.0002 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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