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 agentmods add skills/smixs/iva-agent/memory-processornpx skills add smixs/iva-agent --skill memory-processorgit clone --depth 1 https://github.com/smixs/iva-agentWhat 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 | $0.00106 | $0.01575 |
| Opus 5 | $0.00053 | $0.00788 |
| Sonnet 5 | $0.00021 | $0.00315 |
| Haiku 4.5 | $0.00011 | $0.00158 |
Grade A, and why
memory-processor 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
memory-processor — daily transcript → cards + summary
Turn one day of raw conversation into durable, navigable memory.
This skill is judgment-first: the model (you) does the classification, tagging,
and linking. The autograph Python scripts are used only for mechanical work
(enforce schema, repair links, generate MOCs, decay, touch). enrich.py is never
used — you are the enrichment.
Inputs
daily/YYYY-MM-DD.md— the day's raw two-sided transcript (## HH:MM [text|voice|video|photo|forward from: …]for the user,## HH:MM [iva]for Iva's replies; older days may use legacy[eva]). Seescripts/memory/instructions/rules/daily-format.md.schema.json— the vault schema (types, domains, decay).- Existing cards under
cards/**and prior summaries undersummaries/,weekly|monthly|yearly/— for linking and dedup.
Outputs
- Zero or more entity/decision/idea cards under
cards/<kind>/. - One daily-summary card at
summaries/daily/YYYY-MM-DD.md. - A processing marker appended to the raw daily file (never edit existing entries).
Layout & types (from schema.json)
| What | Folder | type |
|---|---|---|
| Raw transcript (read-only log) | daily/YYYY-MM-DD.md |
— (not a card) |
| Daily summary | summaries/daily/YYYY-MM-DD.md |
daily-summary |
| Weekly / monthly / yearly summary | weekly/, monthly/, yearly/ |
*-summary |
| Knowledge note / thought | cards/notes/ |
note |
| Person / org | cards/contacts/ |
contact |
| Project | cards/projects/ |
project |
| Idea / proposal | cards/ideas/ |
idea |
| Decision | cards/decisions/ |
decision |
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 118 lines · 106 tokens per session scan A 5e7de3e307b1
memory-processor is a skill published in the GitHub repository smixs/iva-agent (189 stars, last pushed 6d ago), licensed MIT. It adds 106 tokens to every session and 1,575 once invoked, about $0.0005 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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