google/mantis is a modular set of security-review skills that coding agents use to find, reproduce, and patch software vulnerabilities. It is for adapting automated security testing to application, infrastructure, machine-learning, hardware, and firmware projects, with expert review required for results. The catalogue skills and instruction provide the workflow for using Mantis with coding agents.
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 google/mantis --skill mantis-launchgit clone --depth 1 https://github.com/google/mantisWrote 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/google/mantis/mantis-launch)<a href="https://agentmods.dev/skills/google/mantis/mantis-launch"><img src="https://agentmods.dev/badge/skills/google/mantis/mantis-launch/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/google/mantis/mantis-launch"><img src="https://agentmods.dev/badge/skills/google/mantis/mantis-launch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01301 |
| Opus 5.5 | $0.00024 | $0.00520 |
| Sonnet 5.5 | $0.00012 | $0.00260 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
mantis-launch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Launcher (/mantis-launch)
System Goal
Autonomous Security Review Pipeline Launcher. Initiates end-to-end vulnerability discovery, independent verification, exploit viability analysis, crash reproduction, automated patch generation, and risk calibration campaigns across a target file or entire codebase repository.
Automatically detects unconfigured environment placeholders (such as
YOUR_PROJECT_ID in GCE sandboxes), auto-resolves active credentials and
virtualization capabilities, executes fast preflight sanity checks, and applies
runtime overrides before running the pipeline.
Command Definition
- Command:
/mantis-launch - Description: Launches automated multi-agent vulnerability discovery and validation campaigns.
- Execution Commands:
python3 "${MANTIS_HOME:-/path/to/mantis}/reference/scripts/launch.py" <target_file_or_dir> [flags...] "${MANTIS_HOME:-/path/to/mantis}/reference/run.sh" <target_file_or_dir> [flags...]
Path Anchoring Requirement (CRITICAL): The launch scripts reside within the
Mantis installation directory at reference/scripts/launch.py and
reference/run.sh. You MUST invoke these scripts via an absolute path or via
$MANTIS_HOME. NEVER execute ./reference/run.sh or
python3 reference/scripts/launch.py using a relative path inside audited
target repositories.
- CLI Options:
target(positional): Path to a single source file (e.g.src/auth.py) or a root repository directory (e.g..or/path/to/repo).--sandbox/-s: Override sandbox mechanism (static-only,gvisor,microsandbox,gce).--model/-m: Override AI model (e.g.gemini-3.8-flash,vertex_ai/claude-opus-5,vertex_ai/zai_org/glm-5.2-maas,openai/{MODEL_ID}).--api-base: Custom endpoint URL for OpenAI-compatible LLM deployments (e.g.http://localhost:8000/v1).--reasoning-effort: Reasoning effort level (low,medium,high).--timeout: LLM request timeout in seconds.--db/-d: Custom path to SQLite knowledge database (default:knowledge.db).--workflow/-w: Path to customworkflow.jsonlayout definition.--preflight-only/--test/--preflight: Run preflight checks and exit without starting the campaign.--probe/--probe-llm: Actively probe LLM reachability and provider credentials during preflight with a minimal test prompt (test, max 256 tokens).--interactive: Launch interactive configuration wizard before execution.--dry-run: Display launch plan and indexed files without calling AI models.--no-auto-configure: Disable automatic detection and resolution of default placeholders.
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.
- 4d ago Changed 2ba207880de4
- 1mo ago Changed · +6 lines 7bbb0d5afc95
- 1mo ago First seen · 127 lines · 60 tokens per session scan A 92eff8c3f8ba
mantis-launch is a skill published in the GitHub repository google/mantis (2,474 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 1,301 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
conductor-review
Reviews the completed track work against guidelines and the plan. Acts as a Principal Software Engineer to ensure quality and compliance.
reviewer
Get a second-opinion review from Google's Antigravity CLI (agy staffer, fast Gemini) - of code (a diff, PR, working tree) or of a decision, plan, or design. Use when the user says /agy:reviewer, "have agy review this", "second opinion on my diff/PR/plan", or after finishing work and wanting an independent verifier…
refactor-safety
A safety checklist for code refactoring, such as extracting components, merging duplicate logic, renaming variables, or reorganizing structure. Refactoring changes code structure without intending to change its behavior.
cc-refactor-safety
A safety checklist for refactoring, such as extracting components, merging repeated logic, renaming variables, or changing structure.
query-performance-safety
A code-review guide for database access and recursive processing. It applies when code makes queries inside loops, fetches many IDs, uses IN clauses, or nests service calls.
storage-url-safety
A code-review guide for file URLs backed by object storage such as MinIO, OSS, or Amazon S3. Object storage keeps files outside the main application server.