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 LH8PPL/core-memory-kit --skill memory-writegit clone --depth 1 https://github.com/LH8PPL/core-memory-kitWrote 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/lh8ppl/core-memory-kit/memory-write)<a href="https://agentmods.dev/skills/lh8ppl/core-memory-kit/memory-write"><img src="https://agentmods.dev/badge/skills/lh8ppl/core-memory-kit/memory-write/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/lh8ppl/core-memory-kit/memory-write"><img src="https://agentmods.dev/badge/skills/lh8ppl/core-memory-kit/memory-write.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 | $0.00202 | $0.01350 |
| Opus 5.5 | $0.00081 | $0.00540 |
| Sonnet 5.5 | $0.00040 | $0.00270 |
| Haiku 4.5 | $0.00020 | $0.00135 |
Grade A, and why
memory-write 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capturing durable memory
Durable facts — preferences, decisions, environment state — are saved through the kit's safe write path (Poison_Guard secret screening + home-path sanitization + dedup + conflict detection).
- NEVER hand-edit
context/MEMORY.md,context/USER.md, or any file undercontext/memory/. Direct edits bypass screening and can leak a credential or a local path into a committed file. - Silent on success. Do not announce "saved to memory" unless the user asked.
There are two equivalent surfaces onto the same safe path. Prefer the MCP tools
when the cmk server is connected — params are structured data, so backtick /
$() / quote-heavy rationale can't be mangled by a shell, and there's no
per-command approval prompt.
Preferred: the cmk MCP tools (when connected)
- Capture → call
mk_rememberwithtext. For a preference, working-style rule, or constraint, also passwhy,how,title, andtype— this writes a rich Why/How fact file, not just a bullet. - Remove → call
mk_forgetwith the factid. Two-step: the first call previews what would be removed and returns aconfirm_token; call again with that token to tombstone (audit trail preserved). Confirm with the user first. - Adjust trust → call
mk_trustwith the factidand aleveloflow,medium, orhigh. Use when the user signals how much a saved fact matters: "trust this" / "that's important — keep it" →high; "that's not important / I'm not sure / low priority" →low. Trust drives what gets injected first and what ages out, so this is the user steering their own memory without editing files.
type is one of:
feedback— how the user wants you to workuser— who the user is (role, expertise)project— an ongoing goal or constraintreference— a pointer to an external resource (URL, ticket, dashboard)
Fallback: the cmk CLI (when the MCP server isn't connected)
Capture a bullet:
cmk remember "<the fact, one sentence>"
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 · 130 lines · 202 tokens per session scan A 6374a26c2830
memory-write is a skill published in the GitHub repository LH8PPL/core-memory-kit (7 stars, last pushed 15d ago), licensed MIT. It adds 202 tokens to every session and 1,350 once invoked, about $0.0008 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 2026-08-31.
Other skills, from other repositories
mem9
Persistent cloud memory for OpenClaw agents. Use when users say: "install mem9" "setup memory" "add memory plugin" "openclaw memory" "mem9 onboarding" "memory not working" "import memories" "upload sessions".
mem9
Persistent cloud memory for OpenClaw agents. Use when users say: "install mem9" "setup memory" "add memory plugin" "openclaw memory" "mem9 onboarding" "memory not working" "import memories" "upload sessions".
ultramemory-snapshot
Compose and save a durable, wayback-grade session snapshot to UltraMemory. Use this whenever you are asked to write a session snapshot or rollup of the work just done — in particular when the UltraMemory capture hook nudges you to "Compose a session snapshot per the ultramemory-snapshot Skill rubric ... and save it…
setup
Guides Claude through first-time UltraMemory configuration after plugin install — API key, MCP server registration, test recall, and 401/403 troubleshooting.
save-topic
Use when the user wants to save or checkpoint topic progress, persist current discussion state, or save all topics before ending a session.
ignore-topic
Use when the user wants to ignore, skip, or exclude specific topics from being archived. Triggers on "ignore topic", "don't archive", "skip topic", "stop remembering", "list ignored topics", "remove ignore rule".