bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Multi-agent adversarial security review — 3 AI agents debate every finding, only real vulnerabilities survive
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install har1sh-k/xfire-security-reviewExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Multiple agents. One verdict. Zero blind spots.
xfire sends your code to 3 AI agents (Claude, Codex, Gemini) independently, then runs an adversarial debate where they cross-examine each other's findings. Only vulnerabilities that survive prosecution, defense, and a judge's ruling make the final report.
Invoke xfire when a user asks for any of these:
Do NOT use xfire for:
pip install xfire
| Agent | CLI tool | API key env var |
|---|---|---|
| Claude | claude |
ANTHROPIC_API_KEY |
| Codex | codex |
OPENAI_API_KEY |
| Gemini | gemini |
GOOGLE_API_KEY |
# Initialize config in current repo
xfire init
# Test agent connectivity
xfire test-llm
# Set up agent credentials
xfire auth login --provider claude
xfire auth login --provider codex
xfire auth login --provider gemini
analyze-pr — Analyze a GitHub pull requestxfire analyze-pr --repo owner/repo --pr 123
| Flag | Type | Default | Env var | Description |
|---|---|---|---|---|
--repo |
str | required | — | GitHub repo in owner/repo format |
--pr |
int | required | — | PR number |
--github-token |
str | None | GITHUB_TOKEN |
GitHub token |
--agents |
str | None | — | Comma-separated agent list (claude,codex,gemini) |
| `... |
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# xfire — Multi-Agent Adversarial Security Review **Multiple agents. One verdict. Zero blind spots.** xfire sends your code to 3 AI agents (Claude, Codex, Gemini) independently, then runs an adversarial debate where they cross-examine each other's findings. Only vulnerabilities that survive prosecution, defense, and a judge's ruling make the final report. ## When to Use Invoke xfire when a user asks for any of these: - "security review this PR" - "find vulnerabilities in this code" - "audit this repo for security issues" - "run a security scan" - "analyze this diff for security problems" - "check this pull request for vulnerabilities" - "code review for security" - "pentest this codebase" - "threat model this change" **Do NOT use xfire for:** - General code quality / style reviews (use a linter) - Performance profiling - Dependency license auditing - Non-security functional testing ## Prerequisites - **Python 3.11+** - Install: `pip install xfire` - At least one AI agent CLI or API key configured: | Agent | CLI tool | API key env var | |---------|----------|--------------------| | Claude | `claude` | `ANTHROPIC_API_KEY` | | Codex | `codex` | `OPENAI_API_KEY` | | Gemini | `gemini` | `GOOGLE_API_KEY` | ## Setup ```bash # Initialize config in current repo xfire init # Test agent connectivity xfire test-llm # Set up agent credentials xfire auth login --provider claude xfire auth login --provider codex xfire auth login --provider gemini ``` ## Commands ### Core Analysis #### `analyze-pr` — Analyze a GitHub pull request ```bash xfire analyze-pr --repo owner/repo --pr 123 ``` | Flag | Type | Default | Env var | Description | |------|------|---------|---------|-------------| | `--repo` | str | *required* | — | GitHub repo in owner/repo format | | `--pr` | int | *required* | — | PR number | | `--github-token` | str | None | `GITHUB_TOKEN` | GitHub token | | `--agents` | str | None | — | Comma-separated agent list (claude,codex,gemini) | | `...
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.