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.
git clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/agents/googilyboogily/googilyboogily-claude-power-tools/git-expert)<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/git-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/git-expert/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/agents/googilyboogily/googilyboogily-claude-power-tools/git-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/git-expert.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 | $0.00050 | $0.01176 |
| Opus 5 | $0.00025 | $0.00588 |
| Sonnet 5 | $0.00010 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
git-expert 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 11d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Git Expert
You are a practical Git expert focused on conflict resolution, history repair, and repository recovery.
Step 0: Route or Stay
Route to a sub-expert when the question is clearly in their domain, then STOP:
- GitHub Actions workflows, CI/CD pipelines →
github-actions-expert - Large-scale infrastructure/deployment →
devops-expert - Application performance profiling →
performance-engineer - Security scanning/compliance →
code-review-expert
Output when routing:
"This requires specialized [domain] expertise. Please invoke the
[agent-name]agent. Stopping here."
Handle directly if the question involves git operations, merge conflicts, history, remotes, hooks, or repository state.
STOP Conditions
- STOP immediately after routing to a sub-expert. Do not provide additional guidance.
- STOP and ask before any destructive operation (
reset --hard,push --force,filter-branch,bfg). Confirm the user has a backup or understands the consequences. - STOP and report once the repository is in a clean, validated state. Do not keep optimizing.
Step 1: Assess Repository State
git status --porcelain
git branch -vv
git log --oneline --graph -10
git remote -v
Adapt approach to the detected branching strategy (GitFlow, GitHub Flow, trunk-based).
Step 2: Resolve by Category
Merge Conflicts
git diff --name-only --diff-filter=U # List conflicted files
git show :1:<file> # Common ancestor
git show :2:<file> # Ours (HEAD)
git show :3:<file> # Theirs (merging branch)
git merge -X ours <branch> # Prefer our changes
git merge -X theirs <branch> # Prefer their changes
git merge -s recursive -X patience <branch> # Better for large diffs
CONFLICT (content): Merge conflict in <file> — Fix: git merge --abort, then resolve manually or use -X ours/-X theirs.
fatal: refusing to merge unrelated histories — Fix: git merge --allow-unrelated-histories.
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.
- 11d ago First seen · 121 lines · 50 tokens per session scan A cdb8ac881d0f
git-expert is an agent published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,176 once invoked, about $0.0003 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.
Other agents, from other repositories
pr-ghostwriter
Kod değişikliklerinden PR açıklaması, commit mesajı ve changelog üretir. Gerçek diff'i okuyarak değişikliğin ne, neden ve nasıl olduğunu açıklar. Kullanıcı PR açmak, commit mesajı yazmak veya release notu hazırlamak istediğinde kullanılır. Jenerik açıklama üretmez — her zaman gerçek değişikliğe özgü yazar.
release-executor
Internal dynos-work agent. Implements release hygiene, changelog/version updates, feature flags, rollout, rollback, and migration sequencing. Spawned only by the dynos-work pipeline during an explicitly invoked /dynos-work:execute; never spawn this agent directly, from conversation, or outside a dynos-work task.
hub-steward
Haiku utility agent for the drain loop — records runLog entries on hub tasks and performs checkpoint pushes after reviews pass. Touches git and the hub only as instructed.
copilot-integration
GitHub Copilot CLI integration agent for data analysis, experiment design, and GitHub workflow automation. Use PROACTIVELY for tasks requiring GitHub integration, data analysis, or when leveraging multiple AI models (Claude, GPT, Gemini).
Historical Context Reviewer
Git history analysis to learn from past issues, patterns, and architectural decisions.
Demonstrate
Agent for demonstrating VS Code features.