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KaryawanSurgaKaryawanSurga/tokensaver-plugin/skills/json-lens/SKILL.md

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.

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
  1. Distinctive:

    Look at big JSON without loading big JSON: structure summaries and jq-like queries with compact, budgeted results.

    line 15
  2. Very specific:

    Call inspect_json before writing any parser.

    line 26
  3. Distinctive:

    Write a query from what the structure shows.

    line 27
  4. Very specific:

    Use comma-separated paths (.id, .name) to project several fields at once.

    line 28

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

JSON lens

Look at big JSON without loading big JSON: structure summaries and jq-like queries with compact, budgeted results.

MCP tools

ToolUse it for
inspect_jsonShape first: types, keys, array lengths, samples.
query_jsonPull values: .users[*].name, .items[0], `.alength`.

Workflow

  1. Call inspect_json before writing any parser.
  2. Write a query from what the structure shows.
  3. Use comma-separated paths (.id, .name) to project several fields at once.
  4. Pipes: keys, length, type. Results are capped by limit and 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 10

JSONL 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.

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