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 idescat/mcp --skill jsonstatgit clone --depth 1 https://github.com/idescat/mcpWrote 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/idescat/mcp/jsonstat)<a href="https://agentmods.dev/skills/idescat/mcp/jsonstat"><img src="https://agentmods.dev/badge/skills/idescat/mcp/jsonstat/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/idescat/mcp/jsonstat"><img src="https://agentmods.dev/badge/skills/idescat/mcp/jsonstat.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 | $0.00075 | $0.00999 |
| Opus 5.5 | $0.00030 | $0.00400 |
| Sonnet 5.5 | $0.00015 | $0.00200 |
| Haiku 4.5 | $0.00007 | $0.00100 |
Grade A, and why
jsonstat 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 2mo 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reading JSON-stat datasets
JSON-stat is a JSON format for statistical data used by official statistics providers (Idescat, Eurostat, national statistical institutes). Its key feature — and the most common source of mistakes — is that all cell values live in a single flat array whose order is determined by the dataset's dimensions. Follow this guide to read values reliably.
Dataset structure
A JSON-stat dataset ("class": "dataset") has these essential
properties:
id: ORDERED list of dimension names. This order governs all position calculations (NOT the key order of thedimensionobject, which is irrelevant).size: number of categories per dimension, in the same order asid.dimension.{name}.category.index: 0-based position of each category code within the dimension. It comes in one of two forms:- an object
{code: position}, e.g.{"M": 0, "F": 1}, or - a list
[code0, code1, ...](the position is the list index). ALWAYS use this index; never assume alphabetical or label order. Ifcategory.indexis absent andcategory.labelhas a single key, the dimension has one category at position 0.
- an object
dimension.{name}.category.label: map from category code to human-readable label.value: FLAT array with all cell values in row-major order: the LAST dimension ofidvaries fastest and the first varies slowest.status: flags special values (e.g. provisional or confidential data). It can be a string (applies to all values), an array (parallel tovalue) or an object keyed by value position.
Reading the value of a category combination
To read the value for a specific combination of categories (one per dimension):
- For each dimension, take the position
pof the chosen category fromcategory.index. - Compute each dimension's stride = product of the
sizeof ALL later dimensions (inidorder); the last dimension has stride = 1. offset= sum of (p× stride) over all dimensions.- The value is
value[offset].
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.
- 2mo ago First seen · 89 lines · 75 tokens per session scan A 40a0dc6260f1
jsonstat is a skill published in the GitHub repository idescat/mcp (1 stars, last pushed 18d ago), licensed MIT. It adds 75 tokens to every session and 999 once invoked, about $0.0003 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.
jsonstat compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jsonstatidescat/mcp | Skill | 1 | 18d ago | MIT | A | 75 | Claude Code, Codex |
| arboretoK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 55 | Claude Code, Codex |
| deepspot-mK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 70 | Claude Code |
| torchdrugK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 64 | Claude Code |
| pyhealthK-Dense-AI/scientific-agent-skills | Skill | 56k | 5d ago | MIT | A | 84 | Claude Code, Codex |
| nemo-mbridge-perf-expert-parallel-overlapNVIDIA/skills | Skill | 3.9k | today | Apache-2.0 | A | 56 | Claude Code |
| ml-training-recipesOrchestra-Research/AI-Research-SKILLs | Skill | 14k | 27d ago | MIT | A | 88 | Claude Code |