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 agentlas-ai/agentlas-desktop --skill fetch-world-bank-indicatorgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/fetch-world-bank-indicator)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/fetch-world-bank-indicator"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/fetch-world-bank-indicator/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/agentlas-ai/agentlas-desktop/fetch-world-bank-indicator"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/fetch-world-bank-indicator.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 | $0.00024 | $0.00249 |
| Opus 5.5 | $0.00010 | $0.00100 |
| Sonnet 5.5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
fetch-world-bank-indicator 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.
What it actually says
Fetch World Bank Indicator
- Bind the request to one ISO2/ISO3 country code or an aggregate named by
describe_economic_data_capabilities. - Bind one dot-delimited World Bank indicator code and an inclusive annual range.
- Call
fetch_world_bank_indicator; use pagination explicitly when the result reports more than one page. - Report units and decimal precision from the normalized series. Keep missing observations as
nullor label them unavailable. - Keep the provider
sourceId,lastUpdated, request URL, exact raw byte count, and SHA-256 digest with any reproducibility record.
Outputs
Return the normalized observations and a concise source note naming the World Bank Indicators API. Do not add interpolated or forecast values unless the user separately requests an analysis that clearly labels them.
Verification
Confirm that the returned schema is agentlas.economic-data.world-bank-indicator.v1, the country and indicator match the request, pagination is present, and raw.sha256 matches sha256: followed by 64 lowercase hexadecimal characters.
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 · 21 lines · 24 tokens per session scan A d4d8554cfba3
fetch-world-bank-indicator is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 249 once invoked, about $0.0001 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 2026-09-04.
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