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 skills add solentlabs/ai-journal-mcp --skill maintaingit clone --depth 1 https://github.com/solentlabs/ai-journal-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/solentlabs/ai-journal-mcp/maintain)<a href="https://agentmods.dev/skills/solentlabs/ai-journal-mcp/maintain"><img src="https://agentmods.dev/badge/skills/solentlabs/ai-journal-mcp/maintain/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/solentlabs/ai-journal-mcp/maintain"><img src="https://agentmods.dev/badge/skills/solentlabs/ai-journal-mcp/maintain.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00070 | $0.00431 |
| Opus 5 | $0.00035 | $0.00216 |
| Sonnet 5 | $0.00014 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
maintain 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 9d 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.
What it actually says
ai-journal-mcp — Maintain
Markdown is the source of truth; the search index and the generated views are disposable and rebuilt from it. This skill keeps them in sync and surfaces drift.
When to use
- You hand-edited or bulk-moved entry files (outside
add_entry). - Search results look stale or incomplete.
- A periodic health check on a journal.
What to do
- Rebuild the index. The
reindexMCP tool rebuilds search from the markdown sources. (CLI:ai-journal-mcp reindex <paths...> --db <path>.) The index is disposable — rebuild anytime, it changes no source data. - Regenerate views. For a managed journal,
ai-journal-mcp refresh <root>regeneratesJOURNAL.mdandthemes/. It also rescues any dated entry a stale session appended directly toJOURNAL.md— saving it as a real entry before regenerating, so no text is lost. - Check health.
list_themesandentries_over_time(MCP) show the shape and spot gaps such as(unthemed)entries.ai-journal-mcp scan <root>(CLI) reports orphan files with no dated entries and duplicate groups.
Principles
- Index and views are derived; markdown wins. Rebuild freely.
- Generated views (
JOURNAL.md,themes/*.md) are never hand-edited — edits go in the entry files, then regenerate. indexed-mode journals are read-only; maintenance never rewrites them.
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.
- 9d ago First seen · 37 lines · 70 tokens per session scan A cccd67c3059c
maintain is a skill published in the GitHub repository solentlabs/ai-journal-mcp (1 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 431 once invoked, about $0.0003 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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Use when user explicitly requests planning with a scratchpad, or asks for persistent tracking of a complex task that the human can browse visually. Backs planning files with the scratch CLI so a pad's files are registered and viewable.
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