strategies

strategies is a skill for Claude Code from mubit-ai/claude-plugins. It costs 53 tokens per session (737 once invoked), scanned A, original, Apache-2.0.

A tool that finds recurring patterns across many stored lessons and presents them as general working strategies.

In plain words
What is it for?
It is for questions such as why the same kind of build failure keeps happening or what a project has learned about testing.
Why use it?
It helps explain repeated mistakes or common project habits without reading lessons one by one.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the mubit-memory plugin — 13 skills, 1 agent, 13 hooks, 1 MCP server shipped together

Good fit It is for questions such as why the same kind of build failure keeps happening or what a project has learned about testing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mubit-ai/claude-plugins/strategies
Install

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.

Any agent
npx skills add mubit-ai/claude-plugins --skill strategies
Clone the repo
git clone --depth 1 https://github.com/mubit-ai/claude-plugins

Made for: Claude Code.

Or install mubit-memory, the plugin that ships this one along with the rest of its 13 skills, 1 agent, 13 hooks, 1 MCP server.

Wrote 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.

agentmods badge for strategies

README.md
[![agentmods](https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/strategies/github.svg)](https://agentmods.dev/skills/mubit-ai/claude-plugins/strategies)
Your own site
<a href="https://agentmods.dev/skills/mubit-ai/claude-plugins/strategies"><img src="https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/strategies/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.

agentmods 80×15 button for strategies

Your own site · 80×15
<a href="https://agentmods.dev/skills/mubit-ai/claude-plugins/strategies"><img src="https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/strategies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 737 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00737
Opus 5 $0.00026 $0.00368
Sonnet 5 $0.00011 $0.00147
Haiku 4.5 $0.00005 $0.00074

Measured 9d ago against content hash 7442faf6cbd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

strategies 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.

integrations/claude-code/skills/strategies/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Call mubit_strategiesPOST /v2/control/strategies — and report the strategies it returns in the user's own terms: what the pattern is, and what it was inferred from. Ask for a small number and report all of them; a wall of generalisations is less useful than three good ones.

The one thing to be clear about

mubit_strategies is the pattern across lessons. mubit_lessons reads the individual lessons themselves.

Every other retrieval tool here answers with entries. mubit_recall finds the lessons that match a question, mubit_lessons lists the catalogue, mubit_diagnose matches an error's shape, mubit_dereference fetches the one whose reference_id you already hold. This is the only one that answers with a shape over many of them: it clusters stored lessons into emergent strategies, so what comes back is a generalisation the server derived, not a record anybody wrote.

That makes the choice easy in both directions. "Why do we keep breaking the build the same way?" and "what has this project learned about testing?" are strategy questions. "What did we decide about the recall budget?" is not — that has one answer, and mubit_recall finds it faster and quotes it. Do not reach for this tool to locate a single lesson; it will hand back a summary of a cluster the lesson happens to sit in.

Arguments

  • max_strategies — 1 to 50. Ask for five to ten. The value of the answer is that it is short; fifty clusters over a few dozen lessons is the same information with the pattern taken back out.
  • lesson_types — narrows which lessons get clustered, when the user is asking about one kind of thing ("what have we learned about failures?").
  • session_id and user_id — leave both out. The launcher already passes this run's id, and user_id is a retrieval filter rather than a label: a value nothing was captured under matches nothing, so inventing one is how you get an empty answer from a full store.

Reporting it

A strategy is inferred, not stated. It has less standing than a rule, which somebody wrote down on purpose and which is enforced as written. Say which you are relaying — presenting a clustered generalisation as though the user had asked for it is how a plausible pattern becomes a fact nobody agreed to.

Read the full file on GitHub · 52 lines

Changes

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.

  1. 9d ago First seen · 52 lines · 53 tokens per session scan A 7442faf6cbd0

Subscribe to this mod's changes

strategies is a skill published in the GitHub repository mubit-ai/claude-plugins (13 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 737 once invoked, about $0.0003 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.

Related

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.

garrytan/gbrain · 52 tokens

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.…

mem0ai/mem0 · 273 tokens

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…

danielmiessler/LifeOS · 196 tokens

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.

opensquilla/opensquilla · 44 tokens

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…

shiwenwen/hope-agent · 115 tokens

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.

GanyuanRan/Aegis · 45 tokens