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 arozumenko/sdlc-skills --skill memorygit clone --depth 1 https://github.com/arozumenko/sdlc-skillsWrote 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/arozumenko/sdlc-skills/memory)<a href="https://agentmods.dev/skills/arozumenko/sdlc-skills/memory"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/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/arozumenko/sdlc-skills/memory"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/memory.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 | $0.00055 | $0.04805 |
| Opus 5.5 | $0.00022 | $0.01922 |
| Sonnet 5.5 | $0.00011 | $0.00961 |
| Haiku 4.5 | $0.00006 | $0.00481 |
Grade A, and why
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 12d 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory
Persistent per-role memory as plain markdown. You — the agent — read and
write these files directly using your Read, Write, Edit, and Glob
tools. No CLI, no script, no shell-path fragility. Works on any host, from
any working directory.
Write it as a vault, not a pile of notes. .agents/memory/<role>/ opens
directly in Obsidian, so entries carry frontmatter properties, aliases, tags
and [[wikilinks]]. That is not decoration: aliases make an entry findable by
the words you would actually search for, links turn isolated facts into a graph
you can follow, and the updated property tells you what is due for
re-verification. A human may edit this vault too — tolerate keys you did not
write; never strip them.
File layout
Under .agents/memory/<role>/ (where <role> matches your agent's
name: frontmatter — e.g. project-manager, python-dev, scout):
.agents/memory/<role>/
├── MEMORY.md ← index of the entries worth INJECTING (not all of them)
├── <slug>.md ← individual curated entries (frontmatter + body);
│ an entry may exist with no index line — that is normal
├── project_briefing.md ← seeded by scout at install time (type: project)
├── daily/
│ └── YYYY-MM-DD.md ← episodic daily logs, append-only
└── snapshot.md ← host-generated convenience (often absent)
Create directories with mkdir -p on first use. Do not write
snapshot.md yourself — a host launch hook may generate it, but nothing
regenerates it automatically on every host. If it's absent, that's normal:
you read memory directly when you need it.
.agents/ is an IDE-neutral path so the same memory works whether this
agent is running under Claude Code, Cursor, Gemini CLI, Windsurf, or
Copilot CLI.
Legacy paths (one-time migration)
If you find memory under one of these older locations and .agents/memory/<role>/
doesn't exist, migrate it before your first write:
| Old location | New location |
|---|---|
.claude/memory/<role>/ (directory) |
.agents/memory/<role>/ — move the whole dir |
.agents-legacy/memory/<role>/ (directory, older install) |
.agents/memory/<role>/ — move the whole dir |
.claude/memory/<role>.md (flat file, from the former project-seeder skill) |
.agents/memory/<role>/project_briefing.md — wrap the existing content with type: project frontmatter (see "Write" op below) and add an index line — a project briefing is preventive by definition, so it earns one |
What ships with it
3 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.
- 12d ago Changed · +4 lines e883c4e48383
- 1mo ago First seen · 395 lines · 55 tokens per session scan A 008e5882abf6
memory is a skill published in the GitHub repository arozumenko/sdlc-skills (25 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 4,805 once invoked, about $0.0002 per session on Opus 5.5. 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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Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.