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/logly/mureo/learnnpx skills add logly/mureo --skill learngit clone --depth 1 https://github.com/logly/mureoWhat 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 | $0.00098 | $0.01271 |
| Opus 5 | $0.00049 | $0.00635 |
| Sonnet 5 | $0.00020 | $0.00254 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
learn 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn
PREREQUISITE: Read
../_mureo-shared/SKILL.mdfor auth, security rules, output format, and Tool Selection (Read/Write on Code,mureo_strategy_*/mureo_state_*MCP on Desktop / Cowork).
Save a marketing diagnosis insight to the pro-diagnosis knowledge base.
Saved insights are loaded at the start of future sessions and applied
across /daily-check, /rescue, /budget-rebalance, and the other
diagnostic workflows.
The skill persists insights by shelling out to mureo learn add,
which routes the write through the KnowledgeStore Protocol. The
default backend writes to
~/.claude/skills/_mureo-pro-diagnosis/SKILL.md (preserving the
prior file layout); an alternate backend registered via the
mureo.runtime_context_factory entry-point group can redirect or
split the write without changing this skill.
The knowledge base has two tiers — an operator tier shared across
every workspace, and an optional workspace tier scoped to the
current one. Use mureo learn tiers to find out which are available
before deciding where an insight belongs (step 4).
When to use
- The user runs
/learnfollowed by an insight, e.g.:/learn CV少ないサイトではマイクロCVを活用すべき/learn 予算5000円/日で広告グループ8個は多すぎる/learn Target CPA を下げすぎると逆に CV が減る
- The user runs
/learnwith no argument — review the current conversation for corrections or marketing expertise the user shared and propose those as insights.
Steps
-
Identify the insight. If the user passed an insight as the argument, use it. Otherwise review the current conversation for moments where the user corrected the agent's analysis or supplied marketing expertise, and select the most reusable one(s).
-
Structure the insight using this template:
### [Short descriptive title] **Situation:** [When this insight applies] **Wrong assumption:** [What an inexperienced agent might think] **Correct approach:** [The right way to handle this situation] **Why:** [The reasoning behind the correct approach] Date learned: YYYY-MM-DD
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 · 124 lines · 98 tokens per session scan A 132a04b74956
learn is a skill published in the GitHub repository logly/mureo (42 stars, last pushed 2d ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,271 once invoked, about $0.0005 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.
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