logseq-table-formatter

A formatting helper for Markdown tables in Logseq, a note-taking app that uses linked pages and daily journals. It lays out table rows and cells so they stay readable in Logseq files.

In plain words
What is it for?
Use it when adding or repairing tables in Logseq page or journal Markdown files, including tables with page links or graph commands.
Why use it?
It removes the need to manually align pipe characters, wrap the first row in a bullet, and preserve Logseq page links when editing tables.

Skill for Claude CodeCodex

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/codekiln/logseq-encode-garden/logseq-table-formatter
Any agent
npx skills add codekiln/logseq-encode-garden --skill logseq-table-formatter
Clone the repo
git clone --depth 1 https://github.com/codekiln/logseq-encode-garden

Made for: Claude Code, Codex.

Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 759 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00115 $0.00759
Opus 5 $0.00057 $0.00380
Sonnet 5 $0.00023 $0.00152
Haiku 4.5 $0.00012 $0.00076

Measured 2d ago against content hash c4b5b285a6de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logseq-table-formatter 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/format-table.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/logseq-table-formatter/SKILL.md · 56 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 56 lines · 115 tokens per session scan A c4b5b285a6de

Subscribe to this mod's changes

logseq-table-formatter is a skill published in the GitHub repository codekiln/logseq-encode-garden (10 stars, last pushed 5d ago), with no licence file. It adds 115 tokens to every session and 759 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 2026-08-31.

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