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 rmarquesa/agentmemory-offline --skill forgetgit clone --depth 1 https://github.com/rmarquesa/agentmemory-offlineWrote 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/rmarquesa/agentmemory-offline/forget)<a href="https://agentmods.dev/skills/rmarquesa/agentmemory-offline/forget"><img src="https://agentmods.dev/badge/skills/rmarquesa/agentmemory-offline/forget/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/rmarquesa/agentmemory-offline/forget"><img src="https://agentmods.dev/badge/skills/rmarquesa/agentmemory-offline/forget.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 | $0.00043 | $0.00539 |
| Opus 5.5 | $0.00017 | $0.00216 |
| Sonnet 5.5 | $0.00009 | $0.00108 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
forget 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.
This is a copy
89% identical to forget — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
The user wants to remove data from agentmemory: $ARGUMENTS
Quick start
memory_smart_search { "query": "old api key in config", "limit": 20 }
Show the matches, get a yes, then:
memory_governance_delete { "memoryIds": ["abc12345", "def67890"], "reason": "user privacy request" }
Expected output:
Found 2 matching memories. Confirmed. Deleted 2 memories.
Why
This is destructive and irreversible. Show exactly what will be deleted and get an explicit yes before calling delete. Delete by memory ID, never a bare session.
Workflow
- Search with
memory_smart_search, the user's text asquery,limit: 20. - Show what matched: session ids, memory ids, titles. Ask for explicit confirmation. Do not proceed on silence or a vague "sure, whatever".
- On confirmation, call
memory_governance_deletewithmemoryIds(array or comma-separated string) and optionalreason(defaultplugin skill request). - To drop a whole session, collect every memory id in that session from the
search results and pass them all. The MCP does not accept a bare
sessionId. - Report the deletion count back.
Anti-patterns
WRONG: search returns matches, you immediately call memory_governance_delete
without showing them or waiting for a yes.
RIGHT: list the matches, ask "Delete these 2? (yes/no)", and only delete after an explicit yes.
Checklist
- Matches were shown to the user before any delete.
- An explicit yes was received, not assumed.
memoryIdsholds real ids from the search, never a baresessionId.- Final message states the actual count deleted.
See also
remember: the write side; forget is its undo.recall: find the exact memory id before deleting.
Troubleshooting
See ../_shared/TROUBLESHOOTING.md if memory_smart_search or memory_governance_delete is not available.
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.
- 1mo ago First seen · 67 lines · 43 tokens per session scan A 3f3cd1fb3da2
forget is a skill published in the GitHub repository rmarquesa/agentmemory-offline (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 539 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to forget, differing in 29 lines, and is treated as a copy.
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