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 skills add ArtemioPadilla/agent-triforce --skill git-worktreesgit clone --depth 1 https://github.com/ArtemioPadilla/agent-triforceWrote 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/artemiopadilla/agent-triforce/git-worktrees)<a href="https://agentmods.dev/skills/artemiopadilla/agent-triforce/git-worktrees"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/git-worktrees/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.
<a href="https://agentmods.dev/skills/artemiopadilla/agent-triforce/git-worktrees"><img src="https://agentmods.dev/badge/skills/artemiopadilla/agent-triforce/git-worktrees.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00041 | $0.00718 |
| Opus 5 | $0.00020 | $0.00359 |
| Sonnet 5 | $0.00008 | $0.00144 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
git-worktrees 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Worktrees
Manage an isolated worktree for: $ARGUMENTS
When to Use
- Starting feature implementation (keeps main workspace clean)
- Parallel development (multiple features simultaneously)
- Risky experiments (delete worktree if it fails, main untouched)
- Subagent isolation (agents work in worktree, can't pollute main)
Create Worktree
PROJECT_ROOT="$(git rev-parse --show-toplevel)"
PROJECT_NAME="$(basename "$PROJECT_ROOT")"
FEATURE_NAME="{feature-name}" # kebab-case, no spaces
WORKTREE_DIR="../${PROJECT_NAME}-worktrees/feat-${FEATURE_NAME}"
BRANCH_NAME="feat/${FEATURE_NAME}"
git worktree add -b "$BRANCH_NAME" "$WORKTREE_DIR"
cd "$WORKTREE_DIR"
Verify Clean Baseline
After creating the worktree, run the project's test suite:
# Detect and run test command
if [ -f "package.json" ]; then
npm test
elif [ -f "pyproject.toml" ] || [ -f "setup.py" ]; then
pytest
elif [ -f "Cargo.toml" ]; then
cargo test
elif [ -f "go.mod" ]; then
go test ./...
fi
If tests fail: Fix baseline before starting implementation. Do not proceed with a broken baseline.
During Implementation
- All work happens in the worktree directory
- Commit frequently to the feature branch
- Main workspace remains untouched
- Subagents receive the worktree path, not the main project path
Finish Branch
When implementation is complete, present exactly these 4 options:
Implementation complete. What would you like to do?
1. Merge back to {base-branch} locally
2. Push and create a Pull Request
3. Keep the branch as-is (I'll handle it later)
4. Discard this work
Option 1: Merge Locally
BASE_BRANCH="main" # or detected base
cd "$PROJECT_ROOT"
git checkout "$BASE_BRANCH"
git pull
git merge "$BRANCH_NAME"
# Verify tests pass on merged result
git branch -d "$BRANCH_NAME"
git worktree remove "$WORKTREE_DIR"
Option 2: Push + Create PR
git push -u origin "$BRANCH_NAME"
gh pr create --title "{title}" --body "## Summary
- {changes}
## Test Plan
- [ ] {verification steps}"
Worktree kept until PR merges.
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.
- 9d ago First seen · 114 lines · 41 tokens per session scan A 380378ed6c38
git-worktrees is a skill published in the GitHub repository ArtemioPadilla/agent-triforce (3 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 718 once invoked, about $0.0002 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.
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missive
Invoke only when spawning a quest from a GitHub issue reference. Fetches GitHub issue context for quest spawning. Parses issue references, retrieves structured data via gh, and produces branch suggestions and PR keywords. Used standalone or as input to quest orchestration.
artifact-metadata
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commit-and-push
Create a well-formatted git commit and push to remote repository.
customize-setup
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steward-prep-delivery
Steward-assisted prep for filing issues and PRs — environment capture, template selection, duplicate detection, delivery-policy compliance check.
customize-contribute-back
Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR.