Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aegntic/cldcdenpx agentmods add skills/aegntic/cldcde/ae-ltd-worktree-meshWrote 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/aegntic/cldcde/ae-ltd-worktree-mesh)<a href="https://agentmods.dev/skills/aegntic/cldcde/ae-ltd-worktree-mesh"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ae-ltd-worktree-mesh/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/aegntic/cldcde/ae-ltd-worktree-mesh"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ae-ltd-worktree-mesh.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 | $0.00047 | $0.00346 |
| Opus 5.5 | $0.00019 | $0.00138 |
| Sonnet 5.5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
ae-ltd-worktree-mesh 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 today.
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.
What it actually says
AE.LTD Worktree Mesh
What This Skill Does
Manages parallel Git worktrees for isolated feature work, hotfixes, and review fixes without context switching. Niche gem source: create-worktrees plugin from awesome-claude-code-toolkit.
- Create isolated worktrees for parallel tasks
- Map branch ownership across worktrees
- Clean up merged/obsolete worktrees safely
Quick Start
User: "I need to work on two features in parallel"
→ git worktree list → git worktree add ../repo-feature -b feature main
Workflow
-
Inspect current worktrees. Run
git worktree listand map branch ownership. -
Create targeted worktree.
git worktree add ../<repo>-<task> -b <branch> <base> -
Isolate runtime config. Do not duplicate secrets. Keep per-worktree local env overrides where needed.
-
Keep each worktree single-purpose. One task or ticket per worktree. Avoid mixed commits.
-
Clean only when safe. Remove merged/obsolete worktrees, then run
git worktree prune.
Guardrails
- Never remove worktrees with uncommitted changes.
- Use
git branch -d, not force delete, unless user explicitly approves. - Keep worktrees outside the main repo directory.
- Use descriptive branch names tied to the task.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 46 lines · 47 tokens per session scan A a31ba8dd0937
ae-ltd-worktree-mesh is a skill published in the GitHub repository aegntic/cldcde (11 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 346 once invoked, about $0.0002 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 2026-11-05.
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