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 agentmods add agents/frontman-ai/frontman/verifygit clone --depth 1 https://github.com/frontman-ai/frontmanWhat 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 | $0.00013 | $0.00389 |
| Opus 5 | $0.00006 | $0.00195 |
| Sonnet 5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
verify 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 45 lines · 13 tokens per session scan A ac8732964664
verify is an agent published in the GitHub repository frontman-ai/frontman (681 stars, last pushed yesterday), with no licence file. It adds 13 tokens to every session and 389 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
frontend-engineer
Senior frontend engineer for Vue 3 development. Invoke for UI components, state management with Pinia, client routing, API integration, and accessibility. Writes production code using component-first workflow.
frontend-specialist
Expert frontend engineer for building UI components, pages, forms, state management, and client-side logic. Adapts to any frontend framework based on project context.
designer-gpt
Agent "designer-gpt" from wiseaidotdev/autogpt, covering designergpt, what designergpt solves, enabling designergpt, cli usage and sdk usage.
chamber-ui-tester
Runtime UI validation specialist for Chamber. Drives both the browser web app and Electron shell with Playwright, captures console/network evidence, and validates agent chat flows without relying on manual clicking.
qa-engineer
Use this agent to VERIFY an implemented feature or fix via e2e and regression testing — writes test scenarios, implements them as executable test code (Playwright, Maestro, or whatever fits the target's existing stack), runs them, and reports pass/fail with mandatory evidence per claim. Does NOT own unit or…
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.