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/sawyerhood/middleman/memorynpx skills add SawyerHood/middleman --skill memorygit clone --depth 1 https://github.com/SawyerHood/middlemanWrote 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/sawyerhood/middleman/memory)<a href="https://agentmods.dev/skills/sawyerhood/middleman/memory"><img src="https://agentmods.dev/badge/skills/sawyerhood/middleman/memory.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 | $0.00028 | $0.00262 |
| Opus 5 | $0.00014 | $0.00131 |
| Sonnet 5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
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 4d 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.
What it actually says
Persistent Memory Workflow
Use this skill when the user explicitly asks to:
- remember something for later,
- update previously remembered facts/preferences, or
- forget/remove stored memory entries.
Do not write memory for normal one-off requests.
File location
- Persistent memory files are stored at
${SWARM_DATA_DIR}/memory/<agentId>.md. - In this runtime, use
${SWARM_MEMORY_FILE}(also shown in your loaded context).
Steps
- Read the current memory file with
readbefore changing it. - Apply minimal edits:
- prefer
editfor targeted changes, - use
writeonly for full rewrites.
- prefer
- Keep entries concise, factual, and durable.
- Never store secrets (passwords, API keys, tokens, private keys) or highly sensitive personal data.
- If the request is ambiguous, ask a clarifying question before writing.
- After updating memory:
- manager: confirm the update to the user via
speak_to_user, - worker: report the update back to the manager via
send_message_to_agent.
- manager: confirm the update to the user via
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.
- 4d ago First seen · 33 lines · 28 tokens per session scan A 8a1ae8b739e8
memory is a skill published in the GitHub repository SawyerHood/middleman (181 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 262 once invoked, about $0.0001 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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