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/aendrix03/graft/memoryzenpx skills add AEndrix03/Graft --skill memoryzegit clone --depth 1 https://github.com/AEndrix03/GraftWhat 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 | $0.00122 | $0.01482 |
| Opus 5 | $0.00061 | $0.00741 |
| Sonnet 5 | $0.00024 | $0.00296 |
| Haiku 4.5 | $0.00012 | $0.00148 |
Grade A, and why
memoryze 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 3d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
memoryze — Distill and persist conversation knowledge
You are about to commit something the user solved/decided to long-term memory. This skill is the shape of that act: pick the right granularity, write titles that future-you will actually find, and avoid garbage-in.
Argument shape
The user invokes you with a free-form prompt that may include:
| Hint | Example | What it means |
|---|---|---|
| count / granularity | "3 nodi", "atomic", "one big node", "split per business rule" | How many nodes to produce. Default: heuristic (see below). |
| focus | "the WHY, not the diff", "include the workaround", "skip syntax" | What aspect of the solution to emphasize in body. |
| scope | "this conversation", "from the bug fix onwards", "only the SQL part" | Which slice of context to distill. |
| target profile | "in the work profile", "in test" | Switch via GRAFT_PROFILE for the inserts. |
| enrichment | "expand with the official docs link", "add the error message" | Inject extra data the agent should look up before saving. |
Examples:
/memoryze the spring boot @Valid cascade fix, 1 node, focus on WHY/memoryze split this debugging session into atomic nodes per hypothesis tested/memoryze le ultime 10 messaggi su Angular signal reactivity, 3 nodi
If hints are absent, ask at most one clarifying question, then proceed with the default heuristic.
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.
- 3d ago First seen · 132 lines · 122 tokens per session scan A 3c6665fbb368
memoryze is a skill published in the GitHub repository AEndrix03/Graft (11 stars, last pushed 10d ago), licensed Apache-2.0. It adds 122 tokens to every session and 1,482 once invoked, about $0.0006 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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