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/jsmastery-pro/jsm-agent-skill/remembernpx skills add jsmastery-pro/jsm-agent-skill --skill remembergit clone --depth 1 https://github.com/jsmastery-pro/jsm-agent-skillWrote 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/jsmastery-pro/jsm-agent-skill/remember)<a href="https://agentmods.dev/skills/jsmastery-pro/jsm-agent-skill/remember"><img src="https://agentmods.dev/badge/skills/jsmastery-pro/jsm-agent-skill/remember.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 | $0.00040 | $0.01629 |
| Opus 5 | $0.00020 | $0.00814 |
| Sonnet 5 | $0.00008 | $0.00326 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
remember 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 5d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI has no memory between sessions. Every new session starts blank. This skill fixes that.
Run it at the end of a session to save. Run it at the start of a new session to restore. That is all it does — but done consistently, it means nothing ever gets lost.
Security Boundary
This skill must never persist secrets. If any sensitive value appears in the conversation or context, do not copy it to memory.md.
Sensitive data includes (non-exhaustive):
- API keys, access tokens, refresh tokens, session tokens
- Passwords, passphrases, one-time codes, private keys, certificates
- Cookies, auth headers, connection strings, webhook secrets
- Any credential-like value or secret-looking string
If a detail is useful but sensitive, store a redacted placeholder instead (for example: [REDACTED_API_KEY]).
If unsure whether something is sensitive, treat it as sensitive and omit or redact it.
How to Invoke
To save at end of session:
/remember save
To restore at start of new session:
/remember restore
If the developer just runs /remember without specifying — ask them which one they need.
Save Mode
When the developer runs /remember save:
What to capture
Review the current conversation to extract only what a developer would genuinely need to continue this work in a completely fresh context. Do not include sensitive data such as credentials, API keys, or tokens in the saved memory. Not a transcript. Not a summary of everything that happened. The essential state.
Think like someone handing off a project to a colleague who is equally skilled but knows nothing about what happened today. What would they need to know to continue without losing anything?
Capture:
What was built — specific files created or modified, features completed, components added. Be precise. Not "built the auth flow" — "created app/(auth)/login/page.tsx, app/(auth)/callback/page.tsx, and middleware.ts. OAuth with Google and GitHub working end to end."
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.
- 5d ago First seen · 219 lines · 40 tokens per session scan A 0aa536d99077
remember is a skill published in the GitHub repository jsmastery-pro/jsm-agent-skill (160 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,629 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 2026-08-30.
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