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 RohiRIK/OpenLtm --skill memoryreviewgit clone --depth 1 https://github.com/RohiRIK/OpenLtmWrote 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/rohirik/openltm/memoryreview)<a href="https://agentmods.dev/skills/rohirik/openltm/memoryreview"><img src="https://agentmods.dev/badge/skills/rohirik/openltm/memoryreview/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/rohirik/openltm/memoryreview"><img src="https://agentmods.dev/badge/skills/rohirik/openltm/memoryreview.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 | $0.00103 | $0.01131 |
| Opus 5.5 | $0.00041 | $0.00452 |
| Sonnet 5.5 | $0.00021 | $0.00226 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
MemoryReview 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 5d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MemoryReview — curate long-term memory
A deliberate pass that keeps LTM accurate: decide what pending proposals become memories, re-check memories the code has moved past, and retire duplicates and contradictions. Tool names and categories come from the Ltm skill (../Ltm/SKILL.md); every tool below is mcp__plugin_openltm_memory__<name>.
Rules
- Change memory only through the MCP tools — never run SQL or edit the database file.
- Never
forgetwithout explicit approval. Show the exact IDs and content first and wait for a yes that covers those IDs. Extra care for importance-5 memories. - Prefer
relate … supersedesoverforgetwhen the old memory explains why something changed. - Keep a pass to about 20 items; offer another pass if more remain.
Step 1 — Scope
Default to the current project. Ask only if the user hinted at something else ("all projects", "just proposals", "only stale ones").
Step 2 — Gather (read-only)
Run these and collect candidates:
- Pending proposals —
proposals {action: "list"}. Each has asession_idandindex. - Stale memories —
recall {project, verbose: true, limit: 50}(no query lists the project's top memories; add a query to focus an area). Keep rows wherestale_flagged_atis set;stale_reasonnames the commit or files. - Conflicts and supersedes — from those rows, note
contradictsrelations andsupersedestargets that are still active. For a tangled area,graph {memory_ids, depth: 2}shows the chain. - Duplicates and low value — memories in the same category that say the same thing; operational noise (one-off command output, transient state); facts derivable from the code or
git log.
Step 3 — Present
One compact table per group, skipping empty groups:
### Pending proposals (3)
| # | session:index | category ★ | content | suggest |
|---|---------------|------------|---------|---------|
| 1 | a1b2c3d4:0 | gotcha ★4 | Bun prepare() caches statements… | accept |
### Stale (2)
| # | id | content | stale because | suggest |
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.
- 5d ago First seen · 71 lines · 103 tokens per session scan A f7655ca64ba3
MemoryReview is a skill published in the GitHub repository RohiRIK/OpenLtm (28 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 1,131 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-12.
Other skills, from other repositories
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mem0-tour
Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting an overview of captured decisions, conventions, and learnings.
mem0-forget
Deletes memories by search query or memory ID with confirmation before removal. Use when removing outdated decisions, incorrect memories, sensitive data, or cleaning up after experiments. Also handles undo of recent additions.
mem0-remember
Stores a memory verbatim from user input with appropriate type classification and metadata. Use when the user says remember this, save this, store this, note that, or explicitly asks to record a decision, preference, convention, or learning.
mem0-search
Searches memories and displays compact one-liner results, or looks up a specific memory by ID. Use for quick memory lookups, checking if a decision was recorded, resolving [mem0:id] citations, or browsing memories without full category detail.