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 enuno/dokploy --skill claude-mem-masterygit clone --depth 1 https://github.com/enuno/dokployWrote 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/enuno/dokploy/claude-mem-mastery)<a href="https://agentmods.dev/skills/enuno/dokploy/claude-mem-mastery"><img src="https://agentmods.dev/badge/skills/enuno/dokploy/claude-mem-mastery.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01410 |
| Opus 5 | $0.00019 | $0.00705 |
| Sonnet 5 | $0.00008 | $0.00282 |
| Haiku 4.5 | $0.00004 | $0.00141 |
Grade A, and why
claude-mem-coded-assistant 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 7d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude‑Mem Coding Skill
What This Skill Does
This skill teaches Claude how to:
- Mine claude-mem (via MCP) for high‑signal past work.
- Maintain a concise, high‑impact CLAUDE.md (~1,500 tokens).
- Maintain a curated MEMORY.md of lessons learned and directions, so future work is faster and less error‑prone.
It is an entry point, not a full manual. Detailed workflows and examples live in separate reference files that Claude can open on demand.
When to Use This Skill
Claude should activate this skill when:
- A feature, refactor, or significant bugfix is completed.
- An infra/deployment change introduces new operational lessons.
- Starting work on an area with substantial history in claude-mem.
- Performing a daily “memory maintenance” pass on an active repo.
Inputs and Outputs
Inputs
Claude relies on:
- Files (in repo root):
CLAUDE.md– main project instructions.MEMORY.md– curated lessons and directions.
- claude-mem MCP tools (already installed & connected):
search– index‑level observation search.timeline– temporal context around observations.get_observations– full structured details.
Outputs
This skill produces:
- Patch‑style edits to:
MEMORY.md– new or updated lessons, patterns, and playbooks.CLAUDE.md– refreshed rules while staying under ~1,500 tokens.
- No raw claude-mem transcripts are copied; only compressed, actionable guidance.
How Claude Should Behave
1. Mine claude-mem → Update MEMORY.md
High‑level behavior (details in claude-mem-usage.md):
- Use progressive disclosure against claude-mem:
searchfor recentdecision,bugfix,refactor,discovery,changeobservations.timelinearound promising IDs to see context.get_observationsfor a small set of high‑value IDs.
- From those, update
MEMORY.mdwith:- Architectural decisions and their impact.
- Implementation patterns and anti‑patterns.
- Debugging playbooks and DevOps lessons.
What ships with it
4 files 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.
- 7d ago First seen · 174 lines · 39 tokens per session scan A 4ee4b852f6b5
claude-mem-coded-assistant is a skill published in the GitHub repository enuno/dokploy (2 stars, last pushed 27d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,410 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 2026-08-31.
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.