kb-store

A command for saving a learning, decision, context note, or session summary in the project’s knowledge bank. The knowledge bank is an indexed collection of Markdown files stored in the repository.

In plain words
What is it for?
Use it to create a dated note with a category, title, tags, and content, then update the knowledge-bank indexes.
Why use it?
It gives the project a consistent way to record useful conclusions and find them later instead of relying on chat history.

Command

Part of the obsidian-knowledge-bank plugin — 1 skill, 4 commands shipped together

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.

agentmods
npx agentmods add commands/stilero/claude-plugins/kb-store
Clone the repo
git clone --depth 1 https://github.com/stilero/claude-plugins

Or install obsidian-knowledge-bank, the plugin that ships this one along with the rest of its 1 skill, 4 commands.

Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.00274
Opus 5 $0.00009 $0.00137
Sonnet 5 $0.00003 $0.00055
Haiku 4.5 $0.00002 $0.00027

Measured 2d ago against content hash df7ebfaec06b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kb-store 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.

plugins/obsidian-knowledge-bank/commands/kb-store.md · 29 lines

What it actually says

KB Store

Store a new knowledge entry in the knowledge bank.

FIRST: Load the knowledge-bank:knowledge-bank skill using the Skill tool, then execute Step 2b (STORE) from the skill.

If $ARGUMENTS is provided:

  • Parse it as [category] [title] — use these to pre-fill the entry.
  • Valid categories: learnings, decisions, context, sessions

If $ARGUMENTS is empty:

  • Infer what to store from the recent conversation context.
  • Ask the user to confirm the title, category, and tags before writing.

The skill will:

  1. Gather title, category, tags, and content
  2. Create a dated markdown file under .knowledge-bank/<category>/YYYY-MM/
  3. Append an index entry to the master and category INDEX.md files
  4. Confirm the file path and assigned ID

For formal Architecture Decision Records, use /kb-adr instead.

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. 2d ago First seen · 29 lines · 17 tokens per session scan A df7ebfaec06b

Subscribe to this mod's changes

kb-store is a command published in the GitHub repository stilero/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 274 once invoked, about $0.0001 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.