json-lens
Skill1 starsChanged 45 days agoMITView on GitHub
Inspect and query large JSON and JSONL files. Use when exploring data exports, event streams, fixtures, or config files that are too large to read, or when only a few values are needed from a document.
In this repository9 other files it gives its agents.
- commitsmithSkill
- context-budgetSkill
- gatewaySkill
- injection-guardSkill
- log-tailSkill
- repo-mapSkill
- secret-scanSkill
- tokensaverSkill
- web-snapshotSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Look at big JSON without loading big JSON: structure summaries and jq-like queries with compact, budgeted results.
- Very specific: line 26
Call inspect_json before writing any parser.
- Distinctive: line 27
Write a query from what the structure shows.
- Very specific: line 28
Use comma-separated paths (.id, .name) to project several fields at once.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
JSON lens
Look at big JSON without loading big JSON: structure summaries and jq-like queries with compact, budgeted results.
MCP tools
| Tool | Use it for | |
inspect_json | Shape first: types, keys, array lengths, samples. | |
query_json | Pull values: .users[*].name, .items[0], `.a | length`. |
Workflow
- Call
inspect_jsonbefore writing any parser. - Write a query from what the structure shows.
- Use comma-separated paths (
.id, .name) to project several fields at once. - Pipes:
keys,length,type. Results are capped bylimitand token budget.
CLI fallback
npx -y mcp-json-lens inspect ./data.json
npx -y mcp-json-lens query ./data.json --expr '.users[*].name'
npx -y mcp-json-lens query ./events.jsonl --expr '.level, .user' --limit 10JSONL queries report line numbers per match.
Tips
- The loader caps file size and line counts; huge files fail fast with a clear message instead of hanging.
- Mislabeled files (JSONL saved as
.json) are detected automatically.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

