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 AVIDS2/memorix --skill memorix-mini-skillsgit clone --depth 1 https://github.com/AVIDS2/memorixWrote 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/avids2/memorix/memorix-mini-skills)<a href="https://agentmods.dev/skills/avids2/memorix/memorix-mini-skills"><img src="https://agentmods.dev/badge/skills/avids2/memorix/memorix-mini-skills/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/avids2/memorix/memorix-mini-skills"><img src="https://agentmods.dev/badge/skills/avids2/memorix/memorix-mini-skills.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 | $0.00367 |
| Opus 5 | $0.00015 | $0.00183 |
| Sonnet 5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
memorix-mini-skills 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 11d 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
Memorix Mini-Skills
Promote memories into mini-skills only when they are reusable instructions, not just historical notes.
The standard setup uses the lite MCP profile. memorix_skills and memorix_promote are full-profile tools, so use the CLI fallback unless the current server was explicitly started with MEMORIX_MODE=full or --mode full. Do not probe hidden MCP tools repeatedly.
Tool Router
| Situation | Prefer | CLI fallback |
|---|---|---|
| Preview/discover existing project skills | memorix_skills action list |
memorix skills list |
| Generate skills from memory patterns | memorix_skills action generate |
memorix skills generate |
| Write generated skills to an agent | memorix_skills action generate, write: true |
memorix skills generate --write --target codex |
| Promote selected memories permanently | memorix_promote action promote |
memorix memory promote --ids 42,43 |
| List/delete promoted mini-skills | memorix_promote |
`memorix memory promote --action list |
Promote When
- The knowledge has been proven by repeated observations or a high-value fix.
- It changes how future agents should act.
- It is specific enough to be actionable and general enough to reuse.
Do Not Promote
- Command logs, probes, stale memories, one-off status notes, or unverified guesses.
- Anything that should expire after the current task.
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.
- 11d ago First seen · 32 lines · 30 tokens per session scan A a81573b99a9d
memorix-mini-skills is a skill published in the GitHub repository AVIDS2/memorix (745 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 367 once invoked, about $0.0002 per session on Opus 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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