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 cobibean/agent-memory-wiki --skill prepforresetgit clone --depth 1 https://github.com/cobibean/agent-memory-wikiWrote 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/cobibean/agent-memory-wiki/prepforreset)<a href="https://agentmods.dev/skills/cobibean/agent-memory-wiki/prepforreset"><img src="https://agentmods.dev/badge/skills/cobibean/agent-memory-wiki/prepforreset/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/cobibean/agent-memory-wiki/prepforreset"><img src="https://agentmods.dev/badge/skills/cobibean/agent-memory-wiki/prepforreset.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00038 | $0.00396 |
| Opus 5.5 | $0.00015 | $0.00158 |
| Sonnet 5.5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
prepforreset 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
Prep for Reset — Compatibility Alias
This skill keeps /prepforreset working. The canonical package is obsidian-memory-wiki.
Load and follow obsidian-memory-wiki, then execute its Reset Preparation phase. If the parent skill is unavailable, use this fallback:
- Resolve the Obsidian vault path safely and keep writes inside it.
- Search existing Daily Logs and Session Logs before writing.
- Update or create:
Daily Logs/YYYY-MM-DD.mdSession Logs/YYYY-MM-DD-<short-topic-slug>.md
- Continue an existing authoritative session note when work is genuinely continuing; suffix filenames only for unrelated collisions.
- Distill rather than dump the transcript. Capture the goal, current status, decisions, artifacts, verified outcomes, blockers, and next concrete actions.
- Do not store secrets or raw credential values.
- Add backlinks between daily and session notes when both exist.
- Return a lean copy/paste handoff naming current state, authoritative artifacts, blockers, and next steps.
For new installs and automation, use obsidian-memory-wiki; this alias exists only for command continuity.
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 · 35 lines · 38 tokens per session scan A 1a968dc88920
prepforreset is a skill published in the GitHub repository cobibean/agent-memory-wiki (23 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 396 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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