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 Cleo-Labs-IA/skills_library --skill regulatory-intelligencegit clone --depth 1 https://github.com/Cleo-Labs-IA/skills_libraryWrote 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/cleo-labs-ia/skills_library/regulatory-intelligence)<a href="https://agentmods.dev/skills/cleo-labs-ia/skills_library/regulatory-intelligence"><img src="https://agentmods.dev/badge/skills/cleo-labs-ia/skills_library/regulatory-intelligence/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/cleo-labs-ia/skills_library/regulatory-intelligence"><img src="https://agentmods.dev/badge/skills/cleo-labs-ia/skills_library/regulatory-intelligence.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 | $0.02576 |
| Opus 5 | $0.00020 | $0.01288 |
| Sonnet 5 | $0.00008 | $0.00515 |
| Haiku 4.5 | $0.00004 | $0.00258 |
Grade A, and why
regulatory-intelligence 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 10d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Intelligence
Monitor regulations that could block your product from sale. Focus on signals that require action: substance bans, labeling changes, recall notices, deadline approaches.
What Matters for Physical Products
Not all regulatory signals are equal. For a product company, these are the ones that hurt:
| Signal Type | Impact | Example | Urgency |
|---|---|---|---|
| Substance ban | Cannot sell product with this ingredient | Titanium dioxide banned in EU food (2022) | CRITICAL -- reformulate or exit market |
| Substance restriction | Must reduce concentration or add warning | Retinol limits lowered in EU cosmetics (2025) | HIGH -- reformulate or relabel |
| Labeling change | Must update all packaging | New allergen added to mandatory declaration list | HIGH -- reprint labels before deadline |
| New certification | Must obtain before continued sale | GPSR (2024) requires new product safety documentation | HIGH -- prepare documentation |
| Recall notice | Similar product recalled, check yours | RAPEX alert on similar product category | MEDIUM -- verify your product is not affected |
| New market entry rule | Must comply before entering market | EU Battery Regulation (2024) for electronics | MEDIUM -- plan for compliance |
| Proposed legislation | No action yet but prepare | MoCRA implementation rules (US) | LOW -- monitor timeline |
MCP Tools
Cleo Insight (primary)
# Search for signals that affect your products
mcp__claude_ai_Cleo_Insight__search_signals
product_id: "<your-product-id>" # From list_products
risk_level: "critical" # critical > high > medium > low
country: "FR" # ISO code or country name
hs_code: "3304.99" # HS code for your product
q: "retinol cosmetics" # Free-text search
limit: 20
# Get full signal details
mcp__claude_ai_Cleo_Insight__get_signal
id: "<signal-id>"
# Focus on: what changed, who it affects, enforcement date, required action
# Browse all tracked regulations
mcp__claude_ai_Cleo_Insight__list_regulations
limit: 50
# Get regulation details
mcp__claude_ai_Cleo_Insight__get_regulation
id: "<regulation-id>"
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.
- 10d ago First seen · 197 lines · 41 tokens per session scan A f1a56f307b30
regulatory-intelligence is a skill published in the GitHub repository Cleo-Labs-IA/skills_library (1 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 2,576 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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