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 aaronnat23/disp8ch --skill proactive-memorygit clone --depth 1 https://github.com/aaronnat23/disp8chWrote 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/aaronnat23/disp8ch/proactive-memory)<a href="https://agentmods.dev/skills/aaronnat23/disp8ch/proactive-memory"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/proactive-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/aaronnat23/disp8ch/proactive-memory"><img src="https://agentmods.dev/badge/skills/aaronnat23/disp8ch/proactive-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 | $0.00000 | $0.00188 |
| Opus 5.5 | $0.00000 | $0.00075 |
| Sonnet 5.5 | $0.00000 | $0.00038 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
proactive-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 1mo 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
Proactive Memory
Turn repeated failures, corrections, and recurring requests into durable follow-up work.
- When an agent hits the same failure twice, create a short memory note with the trigger, failed approach, corrected approach, and verification result.
- Convert important corrections into board tasks or scheduled follow-ups instead of leaving them only in chat history.
- After a user changes a preference, record the new preference in memory and mention the update in the next relevant run.
- Pair with scheduler for check-ins such as "retest this flow tomorrow" or "review this integration every Monday".
- Pair with hierarchy goals when the lesson belongs to a team, project, or organization rather than one agent.
- Keep entries concise: problem, correction, evidence, next trigger.
- Prefer updating an existing memory cluster over creating duplicate notes for the same issue.
- If a correction changes a standard operating pattern, recommend enabling or updating the matching skill pack.
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.
- 1mo ago First seen · 13 lines · 0 tokens per session scan A fdaa673720ff
proactive-memory is a skill published in the GitHub repository aaronnat23/disp8ch (98 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 188 tokens. 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 2026-09-03.
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