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/harry189/ha-mcp/wtnpx skills add harry189/ha-mcp --skill wtgit clone --depth 1 https://github.com/harry189/ha-mcpWrote 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/harry189/ha-mcp/wt)<a href="https://agentmods.dev/skills/harry189/ha-mcp/wt"><img src="https://agentmods.dev/badge/skills/harry189/ha-mcp/wt.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 | $0.00018 | $0.00275 |
| Opus 5 | $0.00009 | $0.00138 |
| Sonnet 5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
wt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to wt — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Create Git Worktree
Create a new worktree in worktree/<branch-name> with branch <branch-name>.
Execution
# Return to repo root
cd "$(git rev-parse --show-toplevel)"
# Pull latest master
git checkout master
git pull origin master
# Create worktree
git worktree add worktree/"$ARGUMENTS" -b "$ARGUMENTS"
# Initialize submodules (skills-vendor)
git -C worktree/"$ARGUMENTS" submodule update --init --recursive
# Navigate to worktree
cd worktree/"$ARGUMENTS"
# Confirm location and branch
echo ""
echo "✅ Worktree created and ready:"
echo " Location: $(pwd)"
echo " Branch: $(git rev-parse --abbrev-ref HEAD)"
echo ""
echo "You can now work in this isolated environment."
Notes
- Worktree inherits
.claude/skills/workflows - To remove when done:
cd ../.. && git worktree remove worktree/"$ARGUMENTS" - List all worktrees:
git worktree list
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.
- 3d ago First seen · 45 lines · 18 tokens per session scan A 1221d3a3b127
wt is a skill published in the GitHub repository harry189/ha-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 275 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to wt, differing in 0 lines, and is treated as a copy.
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chat-perf
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Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
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