laqrumcode-restore-jsonl

A procedure for restoring or merging JSON Lines backups into a laqrumcode graph stored in SurrealDB. JSON Lines is a format with one JSON object per line, and SurrealDB is a database.

In plain words
What is it for?
It restores nodes and edges, supports dry runs and overwrite or hash-based merging, and reports edges whose nodes are missing.
Why use it?
It lets you bring exported graph data back into a database while avoiding duplicate records by default.

Skill for Claude CodeCodex

Part of the laqrumcode plugin — 18 skills, 4 commands, 3 agents, 10 hooks shipped together

Install

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.

agentmods
npx agentmods add skills/42u/laqrumcode/laqrumcode-restore-jsonl
Any agent
npx skills add 42U/laqrumcode --skill laqrumcode-restore-jsonl
Clone the repo
git clone --depth 1 https://github.com/42U/laqrumcode

Made for: Claude Code, Codex.

Or install laqrumcode, the plugin that ships this one along with the rest of its 18 skills, 4 commands, 3 agents, 10 hooks.

Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 244 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00110 $0.00244
Opus 5 $0.00055 $0.00122
Sonnet 5 $0.00022 $0.00049
Haiku 4.5 $0.00011 $0.00024

Measured 2d ago against content hash f43484685a27, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

laqrumcode-restore-jsonl 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 2d 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.

skills/laqrumcode-restore-jsonl/SKILL.md · 7 lines

What it actually says

Run node scripts/restore-jsonl.mjs <backup-dir> against the target SurrealDB (same SURREAL_URL/USER/PASS/NS/DB env + defaults as backup-jsonl.mjs). Nodes import first, then edges. Default is skip-if-exists (idempotent, non-destructive). Flags: --overwrite (replace by id), --merge-by-hash (skip content_hash duplicates), --dry-run. Edges with a missing in/out node are skipped + logged. Verify with backup-jsonl.mjs's metadata.json table_counts.

Changes

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.

  1. 2d ago First seen · 7 lines · 110 tokens per session scan A f43484685a27

Subscribe to this mod's changes

laqrumcode-restore-jsonl is a skill published in the GitHub repository 42U/laqrumcode (11 stars, last pushed 16d ago), licensed MIT. It adds 110 tokens to every session and 244 once invoked, about $0.0006 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 2026-08-30.

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