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/rangerrick337/operator-os/memory-managenpx skills add rangerrick337/operator-os --skill memory-managegit clone --depth 1 https://github.com/rangerrick337/operator-osWrote 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/rangerrick337/operator-os/memory-manage)<a href="https://agentmods.dev/skills/rangerrick337/operator-os/memory-manage"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/memory-manage.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.00322 |
| Opus 5 | $0.00020 | $0.00161 |
| Sonnet 5 | $0.00008 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
memory-manage 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.
What it actually says
Memory Management
| Tier | Location | Purpose | Write policy |
|---|---|---|---|
| Long-Term | 6. Memory/LONG_TERM.md |
Confirmed durable facts | Human confirmation required |
| Active | 6. Memory/ACTIVE.md |
Focus, blockers, next actions | Update from confirmed evidence |
| Logs | 6. Memory/logs/ |
Concise session handoffs | One immutable file per session |
Use [[memory-read]] before writing so new information does not duplicate or contradict existing memory.
Long-Term
Stage candidates under 6. Memory/proposals/ with source, rationale, and proposed
wording. Ask a human to approve, revise, or reject them. Only explicit approval
allows promotion into LONG_TERM.md.
Active
Update when confirmed evidence materially changes current priorities, blockers, or next actions. Keep the dashboard short and link to deeper sources.
Logs
Follow [[SESSION_LOGGING]] and use:
python3 "Operator Team OS/3. Skills/memory-manage/scripts/append_session_log.py" \
--topics "..." --decision "..." --action "..." --verification "..."
The helper creates a collision-resistant per-session file. Rebuild the memory index after any other direct memory change.
What ships with it
1 file 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 · 39 lines · 40 tokens per session scan A b10f690eb4b9
memory-manage is a skill published in the GitHub repository rangerrick337/operator-os (10 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 322 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 2026-09-04.
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