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 agentmods add skills/1aifanatic/super-computer/json-wranglingnpx skills add 1aifanatic/super-computer --skill json-wranglinggit clone --depth 1 https://github.com/1aifanatic/super-computerWrote 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/1aifanatic/super-computer/json-wrangling)<a href="https://agentmods.dev/skills/1aifanatic/super-computer/json-wrangling"><img src="https://agentmods.dev/badge/skills/1aifanatic/super-computer/json-wrangling.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00485 |
| Opus 5 | $0.00019 | $0.00243 |
| Sonnet 5 | $0.00008 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
json-wrangling 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 4d 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
Working with JSON
jq is available in the shell. Use it rather than reading a JSON file and reasoning about it by eye — it is cheaper and it does not make arithmetic mistakes.
Understand the shape first
Never assume a structure. Ask:
jq 'keys' /workspace/data.json
jq 'type' /workspace/data.json
jq '.[0] | keys' /workspace/list.json
jq -r 'paths(scalars) | join(".")' /workspace/data.json | sort -u
That last one prints every leaf path in the document and is the fastest way to learn an unfamiliar payload.
Everyday queries
jq '.version' package.json
jq -r '.dependencies | to_entries[] | "\(.key)@\(.value)"' package.json
jq '[.items[] | select(.active)] | length' data.json
jq -r '.records[] | [.id, .name, .total] | @csv' data.json
jq 'map(.amount) | add' orders.json
jq -s 'group_by(.status) | map({status: .[0].status, n: length})' events.json
Validation
jq exits non-zero on malformed input, which makes it a validator:
jq empty /workspace/config.json && echo valid
Editing JSON
To change a value, prefer jq to hand-editing — it cannot produce invalid JSON:
jq '.version = "2.0.0"' config.json > /workspace/.tmp.json && mv /workspace/.tmp.json config.json
Note jq cannot write in place, so route through a temporary file as above.
Not available
There is no sqlite3, no python, and no node in this Workspace — the packaged builds ship without their compiled runtimes. For anything beyond jq, use awk, sed, sort, cut and join, which are all present. If a task genuinely needs a database or a real script interpreter, say so rather than improvising something fragile.
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.
- 4d ago First seen · 55 lines · 39 tokens per session scan A 4d8750b30bf1
json-wrangling is a skill published in the GitHub repository 1aifanatic/super-computer (2 stars, last pushed 24d ago), licensed MIT. It adds 39 tokens to every session and 485 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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