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 amanasmuei/amem --skill contextgit clone --depth 1 https://github.com/amanasmuei/amemWrote 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/amanasmuei/amem/context)<a href="https://agentmods.dev/skills/amanasmuei/amem/context"><img src="https://agentmods.dev/badge/skills/amanasmuei/amem/context/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/amanasmuei/amem/context"><img src="https://agentmods.dev/badge/skills/amanasmuei/amem/context.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 | $0.00037 | $0.00279 |
| Opus 5.5 | $0.00015 | $0.00112 |
| Sonnet 5.5 | $0.00007 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
context 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
Load Memory Context
Load all relevant memory context for a topic or the current task.
Instructions
-
Determine the topic from the user's request or the current conversation context.
-
Execute this sequence: a. Call
memory_injectwith the topic — surfaces corrections (MUST follow) and decisions (SHOULD follow) b. Callreminder_check— show any overdue or upcoming reminders c. Callmemory_tierwithaction: "list",tier: "core"— load always-on context d. If more context needed, callmemory_contextwith the topic for broader background -
Present the context naturally:
- Lead with corrections: "I remember these constraints..."
- Then decisions: "Previous decisions on this topic..."
- Then patterns/preferences if relevant
-
Apply corrections as absolute constraints — never violate them.
When to Use
- Start of any new task or topic
- When the user asks "what do you know about X?"
- When switching between different parts of the codebase
- Before writing code that might have constraints
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 · 33 lines · 37 tokens per session scan A 81ae19d63894
context is a skill published in the GitHub repository amanasmuei/amem (2 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 279 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.
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daily-journal
A passive daily work journal that Claude keeps FOR you so you never have to write it yourself. Append short entries after meaningful work (what was done, what you focused on, artifacts touched) to 01-daily/journal/YYYY-MM-DD.md. Run a guided reflection at night or in the morning. Use when you run /daily-journal, say…
init
Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.
ijfw-handoff
Session handoff generation and loading. Trigger: session end, context full, /handoff.