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 samrusani/AliceMemory --skill alice-resumptiongit clone --depth 1 https://github.com/samrusani/AliceMemoryWrote 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/samrusani/alicememory/alice-resumption)<a href="https://agentmods.dev/skills/samrusani/alicememory/alice-resumption"><img src="https://agentmods.dev/badge/skills/samrusani/alicememory/alice-resumption/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/samrusani/alicememory/alice-resumption"><img src="https://agentmods.dev/badge/skills/samrusani/alicememory/alice-resumption.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 | $0.00023 | $0.00460 |
| Opus 5.5 | $0.00009 | $0.00184 |
| Sonnet 5.5 | $0.00005 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
alice-resumption 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
Alice Resumption
Legacy pack. The supported Hermes pack is agent-skills/hermes/alice-memory.
This skill needs the full tool surface: set ALICE_MCP_FULL_TOOLS=1 in the
Alice MCP server env. On the default three tools, only the alice_resume step
works.
Goal
Resume work from deterministic continuity state instead of reconstructing history manually.
Trigger Cues
Use this skill when the user asks:
- continue where we left off
- give me a restart brief
- summarize decisions, next action, blockers
Required MCP Tools
mcp_<alice_server>_alice_resume- Optional:
mcp_<alice_server>_alice_context_pack
<alice_server> is the key under mcp_servers. It is alice when
alice-memory install --host hermes wrote it and alice_core in the example
configs.
Workflow
- Call
alice_resumewith scoped filters and bounded limits. - If broader context is needed, call
alice_context_pack. - Prioritize these sections in your answer:
- last decision
- next action
- open loops
- recent changes
- Keep the final brief actionable and short.
Tool Call Templates
mcp_<alice_server>_alice_resume({"thread_id":"<uuid>","max_recent_changes":5,"max_open_loops":5})
mcp_<alice_server>_alice_context_pack({"query":"<topic>","max_items":10})
Output Contract
Always include:
last_decisionnext_actionblockers_or_waiting_forrecent_changes- explicit note when
thread_idor scope is missing
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 Changed · +7 lines 45945b9b1809
- 1mo ago First seen · 62 lines · 23 tokens per session scan A bcc96051adf0
alice-resumption is a skill published in the GitHub repository samrusani/AliceMemory (4 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 460 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 2026-08-31.
Other skills, from other repositories
plur-create-engrams
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plur-memory
Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.
plur-session-end
Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.
plur-memory
Your memory stays on your machine. No cloud, no tracking, no API key. PLUR makes your OpenClaw remember — and shares that memory with every other tool you use.
remnic-memory-workflow
Shared memory workflow for Claude Code agents connected to Remnic — recall before acting, observe during work, remember at the end. Trigger phrases include "what do you remember about", "save this for later", "any context from last time".
remnic-remember
Store a durable memory in Remnic so every connected agent can recall it. Trigger phrases include "remember this", "save this for later", "add a note that".