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btw

btw is a skill for Claude Code from ww-w-ai/bkit-claude-code. It costs 75 tokens per session (1,853 once invoked), scanned A, original, Apache-2.0.

A tool for recording improvement ideas while another task is in progress, then listing, reviewing, or promoting those ideas later.

In plain words
What is it for?
Use it to record an idea, list or analyze saved suggestions, promote one into a planned improvement, or view suggestion statistics.
Why use it?
It lets you capture suggestions without interrupting the work you are currently doing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the bkit plugin — 44 skills, 2 commands, 34 agents, 21 hooks shipped together

not rated 604repo +2 changed 1mo ago A scan SkillSpector: pass 75 tokens original Apache-2.0

Good fit Use it to record an idea, list or analyze saved suggestions, promote one into a planned improvement, or view suggestion statistics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ww-w-ai/bkit-claude-code/btw
View source ↗ ww-w-ai/bkit-claude-code bkit.ai
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 ww-w-ai/bkit-claude-code --skill btw
Clone the repo
git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code

Made for: Claude Code.

Or install bkit, the plugin that ships this one along with the rest of its 44 skills, 2 commands, 34 agents, 21 hooks.

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 btw

README.md
[![agentmods](https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/btw/github.svg)](https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/btw)
Your own site
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/btw"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/btw/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 btw

Your own site · 80×15
<a href="https://agentmods.dev/skills/ww-w-ai/bkit-claude-code/btw"><img src="https://agentmods.dev/badge/skills/ww-w-ai/bkit-claude-code/btw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,853 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00075 $0.01853
Opus 5.5 $0.00030 $0.00741
Sonnet 5.5 $0.00015 $0.00371
Haiku 4.5 $0.00007 $0.00185

Measured 1mo ago against content hash 5de897119797, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

btw 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 1mo 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.

skills/btw/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/btw - By-The-Way Suggestion Collector

작업 중 "이거 스킬로 만들면 좋겠다", "이 패턴 자동화하면 좋겠다" 등의 개선 제안을 즉시 기록하고 관리하는 도구.

Commands

/btw {suggestion} - Record a suggestion

  1. Read .bkit/btw-suggestions.json (create if not exists)
  2. Generate next ID: btw-NNN (zero-padded, sequential)
  3. Create suggestion entry: 
    {
  "id": "btw-001",
  "timestamp": "ISO-8601",
  "suggestion": "{user input}",
  "context": {
    "file": "{current working file if identifiable}",
    "pdcaPhase": "{current PDCA phase from getPdcaStatusView() or null}",
    "feature": "{current feature or null}"
  },
  "category": "auto-detect",
  "status": "pending",
  "promotedTo": null,
  "priority": null,
  "teamContext": {
    "isTeamSession": false,
    "phase": "{PDCA phase or null}",
    "role": "{teammate role that discovered this, or 'user'}",
    "pattern": "{orchestration pattern or null}"
  }
}
  4. Auto-detect category from suggestion text:
    • skill-request: mentions "skill", "스킬", "자동화", "automate"
    • bug-pattern: mentions "bug", "버그", "오류", "error", "fix"
    • improvement: mentions "개선", "improve", "better", "refactor"
    • documentation: mentions "문서", "doc", "설명", "explain"
    • general: default
  5. Update stats.total count
  6. Respond: "Recorded btw-{NNN}: {truncated suggestion}. Use /btw list to view all."

/btw list - List all suggestions

  1. Read .bkit/btw-suggestions.json
  2. Display table: 
    ID       | Status   | Category       | Suggestion (truncated)
---------|----------|----------------|----------------------
btw-001  | pending  | skill-request  | @Flow 모델에서 옵션 목록을 자동...
btw-002  | promoted | improvement    | DataProxy 패턴에 검증 로직을...
  3. Show summary: Total: N | Pending: N | Promoted: N | Dismissed: N

/btw analyze - Analyze suggestions for skill candidates

  1. Read all pending suggestions from .bkit/btw-suggestions.json
  2. Group by category and find patterns:
    • Cluster similar suggestions (keyword overlap)
    • Count frequency of similar topics
    • Identify suggestions that map to existing bkit skills vs. new skill needs
  3. For each skill candidate:
    • Estimate skill classification: workflow vs capability
    • Suggest skill name and description
    • Reference source suggestion IDs
  4. Output analysis: 
    Skill Candidates from /btw Analysis
=====================================

1. [NEW SKILL] hunikflow-validation (capability)
   Based on: btw-001, btw-005, btw-008
   Frequency: 3 mentions
   Description: Validation pattern guide for @Flow entities

2. [EXISTING SKILL ENHANCEMENT] code-review
   Based on: btw-003
   Suggestion: Add DataProxy-specific review rules
  5. Save analysis timestamp to stats.lastAnalyzed

Read the full file on GitHub · 201 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. 1mo ago Changed · +3 lines 5de897119797
  2. 1mo ago First seen · 198 lines · 75 tokens per session scan A b2ebf11b38fc

Subscribe to this mod's changes

btw is a skill published in the GitHub repository ww-w-ai/bkit-claude-code (604 stars, last pushed 24d ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,853 once invoked, about $0.0003 per session on Opus 5.5. 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.

Claude CodePlanningProductivityai-agentsai-native-developmentmulti-languagepdcapipeline
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