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 Zandereins/schliff --skill 08-nemp-memorygit clone --depth 1 https://github.com/Zandereins/schliffWrote 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/zandereins/schliff/08-nemp-memory)<a href="https://agentmods.dev/skills/zandereins/schliff/08-nemp-memory"><img src="https://agentmods.dev/badge/skills/zandereins/schliff/08-nemp-memory/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/zandereins/schliff/08-nemp-memory"><img src="https://agentmods.dev/badge/skills/zandereins/schliff/08-nemp-memory.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 | $0.00029 | $0.00047 |
| Opus 5.5 | $0.00012 | $0.00019 |
| Sonnet 5.5 | $0.00006 | $0.00009 |
| Haiku 4.5 | $0.00003 | $0.00005 |
Grade A, and why
nemp-memory 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.
This is a copy
100% identical to nemp-memory — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
The source is not reproduced here
Licensed MIT
The repository is licensed MIT, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 6 lines · 29 tokens per session scan A d0dedf4e167a
nemp-memory is a skill published in the GitHub repository Zandereins/schliff (17 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 47 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to nemp-memory, differing in 32 lines, and is treated as a copy.
Other skills, from other repositories
metagit-context-pack
Token-efficient workspace onboarding via tiered context packs — map, repo cards, session digest, objectives, approvals, repomix profiles. Use at session start or when scoping work in a metagit-managed workspace.
fkf-maintain
Maintain FKF bases - collector health, scheduled updates, backfills, validation and retrieval cases. Use when fkf status reports stale or failing sources, when adding a collector, or when setting up a schedule.
fkf-learn
Keep FKF project notes, wiki concepts and task folders current after meaningful work. Use after a decision, a finished task, a corrected assumption, or when the user asks to remember something.
aget-record-lesson
Record lessons learned from sessions as persistent, searchable, committable artifacts. Classifies each lesson as Framework (help other AGETs) or Domain (help principal).
aget-open-session
Open a session with context-aware establishment. Orchestrates wake-up, recovers prior session context, surfaces pending work, and proposes a session agenda.
elnora-agent
This skill should be used when the user asks about "Elnora agent capabilities", "what can the agent do", "what tools does Elnora have", "what can Elnora do", "agent tools", "web search", "academic search", "PubMed", "ArXiv", "Exa", "Tavily", "Perplexity", "Valyu", "ToolUniverse", "scientific tools", "agent memory"…