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 s-annam/okfmem --skill okfmem-curategit clone --depth 1 https://github.com/s-annam/okfmemWrote 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/s-annam/okfmem/okfmem-curate)<a href="https://agentmods.dev/skills/s-annam/okfmem/okfmem-curate"><img src="https://agentmods.dev/badge/skills/s-annam/okfmem/okfmem-curate/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/s-annam/okfmem/okfmem-curate"><img src="https://agentmods.dev/badge/skills/s-annam/okfmem/okfmem-curate.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 | $0.00076 | $0.05841 |
| Opus 5 | $0.00038 | $0.02920 |
| Sonnet 5 | $0.00015 | $0.01168 |
| Haiku 4.5 | $0.00008 | $0.00584 |
Grade A, and why
okfmem-curate 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 9d 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
okfmem Curate
Names. Canonical
/okfmem-curate;/memory-curateis a back-compat alias (a symlink at~/tools/skills/memory-curate→ this skill). This skill lives in theokfmemrepo (~/okfmem/skills/);okfmem initsymlinks it into each harness.
Fallback tool (as of 2026-07-16). Routine memory hygiene is now automatic: the okfmem P3 consolidation job (
~/okfmem/memory_consolidate.py, wired to the Claude Code session-end Stop hook) decay-scores every page and gracefully archives stale ones (projects/<proj>/archive/, never deleted), regeneratingMEMORY.md, every session — no hand-running required. See issue #1. Reach for/okfmem-curateonly for judgment-driven curation the automated decay pass does not do: merging duplicate-with-CLAUDE.md entries, semantic consolidation, or a hard purge the archive gate is too conservative to make. Note the layers differ: consolidation archives (reversible); this skill can delete (hard, gated). Prefer letting decay do the routine work.
Curate the per-project auto-memory store under ~/.claude/projects/<project-slug>/memory/. Detects stale, superseded, or duplicate-with-CLAUDE.md entries; proposes a deletion/compression plan; on approval, executes and rewrites MEMORY.md as tight one-line hooks per the user's auto-memory convention.
Page deletion and archival are store hygiene and recall precision — not a context optimization (#52). Only MEMORY.md and STATE.md are auto-loaded at session start; every other page costs zero context regardless of how many exist. A curate pass that deletes or archives 100 pages and touches no pointer saves 0 tokens. The number that moves the needle is auto-loaded bytes — see Phase 2 and Phase 4.
Applies the "deterministic collection + LLM judgment" principle: a script collects facts, then an LLM cross-reads each candidate and produces verdicts. Hard rule: no file is deleted and no index is rewritten until the user has explicitly approved the plan.
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.
- 9d ago First seen · 335 lines · 76 tokens per session scan A 80021e64b175
okfmem-curate is a skill published in the GitHub repository s-annam/okfmem (5 stars, last pushed 26d ago), licensed Apache-2.0. It adds 76 tokens to every session and 5,841 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.