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 dangerous-goods-transportgit 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/dangerous-goods-transport)<a href="https://agentmods.dev/skills/cleo-labs-ia/skills_library/dangerous-goods-transport"><img src="https://agentmods.dev/badge/skills/cleo-labs-ia/skills_library/dangerous-goods-transport/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/dangerous-goods-transport"><img src="https://agentmods.dev/badge/skills/cleo-labs-ia/skills_library/dangerous-goods-transport.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 | $0.00116 | $0.03891 |
| Opus 5 | $0.00058 | $0.01946 |
| Sonnet 5 | $0.00023 | $0.00778 |
| Haiku 4.5 | $0.00012 | $0.00389 |
Grade A, and why
dangerous-goods-transport 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 12d 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.
Dangerous Goods Transport
How to classify, document, pack, and declare dangerous goods for any transport mode. Scope: hazardous materials — classification, modal regimes, packing, marking, documentation. Boundary: customs-and-trade = duties and HS codes; import-export-docs = commercial paperwork; THIS skill = transport safety rules for hazardous materials.
MCP Tools
# Search for dangerous goods regulatory signals
mcp__claude_ai_Cleo_Insight__search_signals(q="dangerous goods", limit=25)
mcp__claude_ai_Cleo_Insight__search_signals(q="lithium battery transport", limit=25)
mcp__claude_ai_Cleo_Insight__search_signals(q="IATA dangerous goods", limit=25)
mcp__claude_ai_Cleo_Insight__search_signals(q="ADR dangerous goods road", limit=25)
# Get regulation details for DG frameworks
mcp__claude_ai_Cleo_Insight__get_regulation(id="<regulation-id>")
mcp__claude_ai_Cleo_Insight__list_regulations(limit=100)
Classification Decision Tree
digraph {
rankdir=TB; node [shape=box style=rounded fontsize=10];
start [label="Is the substance or article\nhazardous?" shape=diamond];
not_dg [label="Not dangerous goods.\nNo DG rules apply."];
class [label="Identify UN hazard class\n(1 through 9)"];
un_number [label="Look up UN number\nin Orange Book / modal tables"];
pg [label="Assign Packing Group\n(I = most dangerous,\nII = medium, III = least)"];
mode [label="Which transport\nmode(s)?" shape=diamond];
air [label="Air: IATA DGR\n(ICAO TI basis)\nStrictest limits"];
sea [label="Sea: IMDG Code\n(IMO)"];
road [label="Road EU: ADR\n(UNECE biennial)"];
rail [label="Rail: RID"];
us [label="US domestic: 49 CFR\n(HMR, PHMSA/DOT)"];
pi [label="Apply packing instruction\nfor that class + mode"];
label_mark [label="Apply hazmat labels\n(diamond) + marks\n(UN number, proper name)"];
decl [label="Complete Dangerous\nGoods Declaration\nfor that mode"];
train [label="Shipper trained?\n(IATA cat 6 / ADR 1.3?)" shape=diamond];
ok [label="Ready to ship"];
train_req [label="Training required\nbefore tendering"];
start -> not_dg [label="NO"];
start -> class [label="YES"];
class -> un_number -> pg -> mode;
mode -> air [label="Air"];
mode -> sea [label="Sea"];
mode -> road [label="Road EU"];
mode -> rail [label="Rail"];
mode -> us [label="US domestic"];
air -> pi; sea -> pi; road -> pi; rail -> pi; us -> pi;
pi -> label_mark -> decl -> train;
train -> ok [label="YES"];
train -> train_req [label="NO"];
}
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.
- 12d ago First seen · 197 lines · 116 tokens per session scan A 9aa0c6d97809
dangerous-goods-transport is a skill published in the GitHub repository Cleo-Labs-IA/skills_library (1 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 3,891 once invoked, about $0.0006 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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