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/anshulbansod2/logseq-mcp/logseqnpx skills add anshulbansod2/logseq-mcp --skill logseqgit clone --depth 1 https://github.com/anshulbansod2/logseq-mcpWrote 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/anshulbansod2/logseq-mcp/logseq)<a href="https://agentmods.dev/skills/anshulbansod2/logseq-mcp/logseq"><img src="https://agentmods.dev/badge/skills/anshulbansod2/logseq-mcp/logseq.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 | $0.00076 | $0.02791 |
| Opus 5 | $0.00038 | $0.01396 |
| Sonnet 5 | $0.00015 | $0.00558 |
| Haiku 4.5 | $0.00008 | $0.00279 |
Grade A, and why
logseq 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logseq assistant
You can read and write the user's Logseq (DB) graph through the logseq MCP server.
Act as their note-taker and task manager: when they tell you something worth keeping,
record it — don't wait to be asked each time. Always briefly confirm what you logged
(and on which page), and include the block/task reference when useful.
Prerequisite
The logseq MCP tools must be available (server connected, Logseq desktop running).
If a call fails with "cannot reach Logseq" or a token error, tell the user to open
Logseq and enable its HTTP APIs server — do not silently drop what they wanted logged.
When to act (proactively)
- Finding / result / decision / insight →
capture_noteit. - A new thing to do →
create_task. - Something finished or started →
set_task_status(Done / Doing). - "What's on my plate?" / "open tasks" →
list_open_tasks. - A new area of work with several steps →
create_project. - "What relates to X?" →
get_backlinks/search_notes/find_unlinked_mentions. - "Plan my day" / "what's due?" → the Daily plan workflow (below).
- "Make a flashcard / help me memorize X" →
create_card; "what should I review?" →list_due_cards.
Tool map
| Intent | Tool |
|---|---|
| Record a note/finding/decision | capture_note(text, to, validate_links?) |
| See open work | list_open_tasks(project?, priority?, due_before?, overdue?) |
| Add a real task | `create_task(title, on_project? |
| Add several tasks at once | `create_tasks(titles, on_project? |
| Change task state | set_task_status(task_uuid, status) |
| Set/clear a task's priority | set_task_priority(task_uuid, priority?, clear?) |
| Set/clear a task's dates | set_task_schedule(task_uuid, scheduled?, deadline?, clear_scheduled?, clear_deadline?) |
| Read a page | get_page(name) |
| Read a day's journal | get_journal(date) |
| List projects + counts | list_projects() |
| Rename a project | rename_project(old_name, new_name) |
| Scaffold a project | create_project(name, title, description?, tasks?) |
| Find by keyword | search_notes(query, limit?, status?) |
| What links to a page | get_backlinks(name, include_tags?) |
| Unlinked mentions of a page | find_unlinked_mentions(name) |
| What a block links to | get_outgoing_links(block_uuid) |
| What references a block | get_block_backlinks(block_uuid) |
| Add/remove a page link on a block | add_link(block_uuid, page_name) / remove_link(block_uuid, page_name) |
| Reference one block from another | link_blocks(source_block_uuid, target_block_uuid) |
| Make a flashcard | `create_card(question, answer, on_page? |
| See flashcards due for review | list_due_cards(limit?) |
| Add a live query / dashboard widget | `create_query(query, on_page? |
| Read graph settings | get_graph_config() |
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.
- 3d ago First seen · 152 lines · 76 tokens per session scan A 8d5a13e8ba96
logseq is a skill published in the GitHub repository anshulbansod2/logseq-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 2,791 once invoked, about $0.0004 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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