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 sanjoy1234/gauntlex --skill rungit clone --depth 1 https://github.com/sanjoy1234/gauntlexWrote 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/sanjoy1234/gauntlex/run)<a href="https://agentmods.dev/skills/sanjoy1234/gauntlex/run"><img src="https://agentmods.dev/badge/skills/sanjoy1234/gauntlex/run.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00509 |
| Opus 5 | $0.00028 | $0.00254 |
| Sonnet 5 | $0.00011 | $0.00102 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
gauntlex:run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/gauntlex:run
Runs a full Gauntlex session on a specification or GitHub issue.
Usage
/gauntlex:run [--issue <url|file>] [--mode quick|standard|thorough] [--domain owasp_top10]
Execution
This skill invokes the installed gauntlex CLI. Run:
gauntlex run --issue "$ISSUE" --mode "$MODE" --domain "$DOMAIN"
Where:
$ISSUE= the spec file path or GitHub issue URL from the user's message$MODE=quick(default, 5 attacks, <90s),standard(20 attacks),thorough(50 attacks)$DOMAIN= policy domain (defaultowasp_top10)
What It Does
- Loads
.gauntlex.ymlfrom the current working directory (or defaults if not present) - Runs Builder and Breaker concurrently via
asyncio.gather() - Arbiter scores each attack: 1.0 (mitigated) / 0.5 (partial) / 0.0 (miss)
- Emits Resilience Report JSON + Markdown to
.gauntlex/reports/<run_id>.json - Returns ARS score and a table of attacks
Output to User
After running, report:
- ARS score (e.g.,
ARS: 0.87) - Number of attacks attempted and how many were mitigated
- Top 3 unmitigated attacks (if any)
- Report saved to
.gauntlex/reports/<run_id>.json - Whether the gate passed or failed (vs
minimum_arsin.gauntlex.yml)
Checking prerequisites
Before running, verify:
gauntlex doctorpasses (model reachable, ChromaDB writable).gauntlex.ymlexists or inform user defaults will be used
If gauntlex is not installed: pip install -e <project_root> or pip install gauntlex-ai
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.
- 6d ago First seen · 53 lines · 56 tokens per session scan A 674c0b5dd0c3
gauntlex:run is a skill published in the GitHub repository sanjoy1234/gauntlex (1 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 509 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 skills, from other repositories
prodcheck-review
Review this codebase against the prodcheck pre-production checklists — security, performance, scale, integrations and post-launch readiness. Use when asked to check whether a project is ready to ship, to audit an area before launch, or to work through a specific checklist. Produces evidence with file:line citations…
integrate-arcjet-guard-google-adk
Integrate Arcjet security into a Google ADK JS app using @arcjet/guard — put guardPlugin first on Runner({ plugins }) so beforeToolCallback gates tools, and read a caller-owned id from helper options or context. Use when asked to add Arcjet to Google ADK, @google/adk, rate limit its tools, screen inbound messages, or…
integrate-arcjet-guard-mastra
Integrate Arcjet security into a Mastra agent using @arcjet/guard — wrap createTool execute, screen input/output with a Processor tripwire, and gate unwrapped MCP/workspace tools with hooks. Use when asked to add Arcjet to a Mastra agent, rate limit its tools, screen inbound messages, or block prompt injection / PII.
integrate-arcjet-guard-claude-managed-agents
Integrate Arcjet security into Claude Managed Agents (hosted REST+SSE, beta managed-agents-2026-04-01) using @arcjet/guard — screen user.message / initialevents before sessions.events.send, and gate custom tools on agent.customtooluse. Use when asked to add Arcjet to Claude Managed Agents, rate limit custom tools, or…
adr-skill
Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject, deprecate, or supersede an ADR; bootstrap an adr folder and index; consult existing ADRs before implementing changes; or enforce ADR conventions. This skill uses…
terraform-skill
Terraform infrastructure as code best practices.