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 verygoodplugins/mcp-automem --skill skillgit clone --depth 1 https://github.com/verygoodplugins/mcp-automemWrote 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/verygoodplugins/mcp-automem/skill)<a href="https://agentmods.dev/skills/verygoodplugins/mcp-automem/skill"><img src="https://agentmods.dev/badge/skills/verygoodplugins/mcp-automem/skill/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/verygoodplugins/mcp-automem/skill"><img src="https://agentmods.dev/badge/skills/verygoodplugins/mcp-automem/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00125 |
| Opus 5.5 | $0.00012 | $0.00050 |
| Sonnet 5.5 | $0.00006 | $0.00025 |
| Haiku 4.5 | $0.00003 | $0.00013 |
Grade A, and why
automem 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 1mo 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
Deprecated Template
This file is kept only as a compatibility placeholder.
Prefer the native OpenClaw plugin setup. If you specifically need a skill template, use one of these maintained templates instead:
templates/openclaw/OPENCLAW_SETUP.mdtemplates/openclaw/skill-mcp/SKILL.mdtemplates/openclaw/skill-legacy/SKILL.md
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.
- 1mo ago First seen · 16 lines · 30 tokens per session scan A 6c68c20b6b35
automem is a skill published in the GitHub repository verygoodplugins/mcp-automem (66 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 125 once invoked, about $0.0001 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 2026-08-30.
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