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 frankxai/claude-skills-library --skill agentic-jujutsugit clone --depth 1 https://github.com/frankxai/claude-skills-libraryWrote 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/frankxai/claude-skills-library/agentic-jujutsu)<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/agentic-jujutsu"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/agentic-jujutsu/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/frankxai/claude-skills-library/agentic-jujutsu"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/agentic-jujutsu.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 | $0.00057 | $0.01781 |
| Opus 5.5 | $0.00023 | $0.00712 |
| Sonnet 5.5 | $0.00011 | $0.00356 |
| Haiku 4.5 | $0.00006 | $0.00178 |
Grade A, and why
agentic-jujutsu 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.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Jujutsu - AI Agent Version Control
Quantum-ready, self-learning version control designed for multiple AI agents working simultaneously without conflicts.
When to Use This Skill
Use agentic-jujutsu when you need:
- ✅ Multiple AI agents modifying code simultaneously
- ✅ Lock-free version control (23x faster than Git)
- ✅ Self-learning AI that improves from experience
- ✅ Quantum-resistant security for future-proof protection
- ✅ Automatic conflict resolution (87% success rate)
- ✅ Pattern recognition and intelligent suggestions
- ✅ Multi-agent coordination without blocking
Quick Start
Installation
npx agentic-jujutsu
Basic Usage
const { JjWrapper } = require('agentic-jujutsu');
const jj = new JjWrapper();
// Basic operations
await jj.status();
await jj.newCommit('Add feature');
await jj.log(10);
// Self-learning trajectory
const id = jj.startTrajectory('Implement authentication');
await jj.branchCreate('feature/auth');
await jj.newCommit('Add auth');
jj.addToTrajectory();
jj.finalizeTrajectory(0.9, 'Clean implementation');
// Get AI suggestions
const suggestion = JSON.parse(jj.getSuggestion('Add logout feature'));
console.log(`Confidence: ${suggestion.confidence}`);
Reference
The full detail lives in references/ and loads only when needed:
references/capabilities-and-api.md— core capabilities, advanced use cases, API reference & performance.
Best Practices
1. Trajectory Management
// ✅ Good: Meaningful task descriptions
jj.startTrajectory('Implement user authentication with JWT');
// ❌ Bad: Vague descriptions
jj.startTrajectory('fix stuff');
// ✅ Good: Honest success scores
jj.finalizeTrajectory(0.7, 'Works but needs refactoring');
// ❌ Bad: Always 1.0
jj.finalizeTrajectory(1.0, 'Perfect!'); // Prevents learning
2. Pattern Recognition
// ✅ Good: Let patterns emerge naturally
for (let i = 0; i < 10; i++) {
jj.startTrajectory('Deploy feature');
await deploy();
jj.addToTrajectory();
jj.finalizeTrajectory(wasSuccessful ? 0.9 : 0.5);
}
// ❌ Bad: Not recording outcomes
await deploy(); // No learning
What ships with it
1 file 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.
- 1mo ago First seen · 282 lines · 57 tokens per session scan A 1b1af7c4044d
agentic-jujutsu is a skill published in the GitHub repository frankxai/claude-skills-library (47 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 1,781 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 2026-08-30.
Other skills, from other repositories
setup-pre-commit
A setup for Husky pre-commit checks in a JavaScript or TypeScript repository. A pre-commit hook runs automatically before a Git commit and can format staged files, check types, and run tests.
implement-spec
A coding workflow that implements a written specification through a set of linked tickets. It creates a branch and draft pull request, assigns independent work to separate agents, combines their changes, and prepares the result for review.
git-guardrails-claude-code
A Claude Code setup that blocks selected destructive Git commands before they run. Git is a tool for tracking code changes; the blocked commands include pushing, deleting branches, discarding changes, and hard resets.
ship
Commit, push, create PR(s), and auto-finalize — full automation pipeline. Handles uncommitted changes and recently created PRs.
iterm2-layout
Configure iTerm2 workspace layouts with TOML. TRIGGERS - iTerm2 layout, workspace tabs, layout.toml, AutoLaunch.
commit
Smart commit with Ollama-generated messages. Conventional commits, auto-push option. Triggers on: commit this, commit changes, smart commit, /commit.