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/rohitg00/agentmemory/forgetnpx skills add rohitg00/agentmemory --skill forgetgit clone --depth 1 https://github.com/rohitg00/agentmemoryWhat 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 | $0.00043 | $0.00595 |
| Opus 5 | $0.00022 | $0.00298 |
| Sonnet 5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00060 |
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 2d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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. - Lessons are separate: delete one with
memory_lesson_deleteand itslessonId;memory_governance_deletedoes not touch lessons. - Report the deletion count back. A count of 0 means the ids did not exist; say so instead of claiming a delete.
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.
- 2d ago First seen · 70 lines · 43 tokens per session scan A 4578899d32c2
forget is a skill published in the GitHub repository rohitg00/agentmemory (27,906 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 595 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.
Other skills, from other repositories
impeccable
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states.…
circuit
Operate Circuit, the flow engine that runs coding work as structured, evidence-backed flows (Fix, Build, Explore, Review, Prototype). Use this skill at the START of any substantive coding task in a project where Circuit is installed: fixing a bug, building a feature, refactoring, reviewing a diff or PR, investigating…
latent-potential
First-principles, team-of-experts assessment of a software project that surfaces latent potential; underexploited assets, a sharper north star, missing high-leverage capabilities, better framing and messaging. Produces a prioritized, evidence-grounded report with cheap probes, a reframe candidate, a stop-doing list…
claude-code-audit
Forensic audit of the user's recent Claude Code sessions to surface step-change workflow improvements — not marginal ones. Use when the user asks to "audit my Claude Code sessions", "analyze how I use Claude Code", "find patterns in my usage", "improve my Claude Code workflow", "review my sessions", "find leverage in…
literate-guide
Create a narrative guide to a codebase or feature in the style of Knuth's Literate Programming — code and prose interwoven as a single essay, ordered for human understanding rather than compiler needs. Use when the user asks to 'explain this codebase as a story', 'write a literate guide', 'create a narrative…
typography
Apply professional typography principles to create readable, hierarchical, and aesthetically refined interfaces. Use when setting type scales, choosing fonts, adjusting spacing, designing text-heavy layouts, implementing dark mode typography, or when asked about readability, font pairing, line height, measure…