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/brianschroeder/simple-agent-memory/agent-memorynpx skills add brianschroeder/simple-agent-memory --skill agent-memorygit clone --depth 1 https://github.com/brianschroeder/simple-agent-memoryWhat 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 | $0.00126 | $0.01089 |
| Opus 5 | $0.00063 | $0.00544 |
| Sonnet 5 | $0.00025 | $0.00218 |
| Haiku 4.5 | $0.00013 | $0.00109 |
Grade A, and why
agent-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 yesterday.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Memory (repo-level)
This skill installs a lightweight, git-tracked memory pattern into a repository so that learnings survive across fresh agent sessions. It sets up two things:
agent-memory.mdat the repo root — a curated, high-signal log of learnings that a cold-start agent would have wanted to know (setup quirks, non-obvious invocations, resolved root causes, dead ends, repo conventions).- A block in
CLAUDE.mdinstructing agents to readagent-memory.mdat the start of non-trivial work and when stuck, and to append to it when they learn something durable — checking for and resolving duplicate or contradicting entries first, rather than stacking near-identical notes.
The division of labor matters: CLAUDE.md holds the always-loaded behavior (when to
read and write), and agent-memory.md holds the accumulated content, read on demand.
Setting it up
Do this directly with your own file tools — read the bundled templates below, then create
or edit the files in the target repo. No script is needed; you create the files yourself.
Work at the repository root (the top of the project — confirm with
git rev-parse --show-toplevel if git is available, otherwise use the project's top
directory).
Both steps are deliberately non-destructive — check before you write:
-
Create
agent-memory.mdat the repo root — only if it's missing.- If
./agent-memory.mdalready exists, leave it untouched. It holds accumulated learnings, and overwriting it would throw them away. - If it does not exist, create it with the exact contents of
assets/agent-memory.template.md.
- If
-
Add the instruction block to
CLAUDE.md— exactly once.- Read
./CLAUDE.md(create it if it doesn't exist). - If it already contains the marker
<!-- agent-memory:start -->, leave it as-is so the block isn't duplicated. - Otherwise, append the full contents of
assets/claude-md-block.md, preceded by a blank line if the file already has content.
- Read
What ships with it
2 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.
- yesterday First seen · 85 lines · 126 tokens per session scan A 9c604b46de0d
agent-memory is a skill published in the GitHub repository brianschroeder/simple-agent-memory (1 stars, last pushed 1mo ago), licensed MIT. It adds 126 tokens to every session and 1,089 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 2026-08-31.
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