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 fellowship-dev/navvi --skill navvi-logingit clone --depth 1 https://github.com/fellowship-dev/navviWrote 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/fellowship-dev/navvi/navvi-login)<a href="https://agentmods.dev/skills/fellowship-dev/navvi/navvi-login"><img src="https://agentmods.dev/badge/skills/fellowship-dev/navvi/navvi-login/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/fellowship-dev/navvi/navvi-login"><img src="https://agentmods.dev/badge/skills/fellowship-dev/navvi/navvi-login.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 | $0.00049 | $0.00723 |
| Opus 5 | $0.00024 | $0.00362 |
| Sonnet 5 | $0.00010 | $0.00145 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
navvi-login 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 12d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Navvi Login
Login automation skill. Logs into a service using stored credentials via Navvi MCP tools.
First Step (ALWAYS)
Read the persona brief — this tells you who you are, your accounts, and credentials:
mcp__navvi__navvi_milestone(action="brief", persona="{persona}")
Prerequisites
- Navvi container must be running (
mcp__navvi__navvi_start) - Account must be registered via
navvi_accountwith acreds_refpointing to gopass
Workflow
Step 1: Use navvi_login (primary method)
mcp__navvi__navvi_login(service="SERVICE_NAME", persona="default")
This handles everything: reads gopass, navigates to login page, autofills credentials, submits, and verifies. Passwords NEVER appear in your context.
Step 2: Verify result
Take a screenshot and Read it to confirm login succeeded:
mcp__navvi__navvi_screenshot()
Step 3: Handle failures
If navvi_login fails or reports issues:
- 2FA required: call
navvi_vnc()and tell the user to complete it manually - reCAPTCHA v2: try clicking the checkbox (
navvi_find(selector="iframe[title*=reCAPTCHA]")→navvi_click) up to 3 times. If an image challenge appears or 3 clicks fail, callnavvi_vnc()for human help - Other CAPTCHAs (Arkose/FunCaptcha, hCaptcha): call
navvi_vnc()— do NOT attempt to solve - Non-standard form: unlock atomic tools with
navvi_atomic(enable=true), then usenavvi_find+navvi_fillfor username only. For passwords, use VNC.
Step 4: Record milestone (first login only)
If this is the persona's first login to this service, record it:
mcp__navvi__navvi_milestone(action="add", persona="{persona}", event="First login to {Service}", detail="Logged in as {username}. Landing page: {description of what's visible}.", url="{current_url}", tags="first,{service},login", screenshot=true)
Rules
- ALWAYS try
navvi_loginfirst — only fall back to atomic tools if it fails - NEVER type or display passwords
- For reCAPTCHA v2, try clicking the checkbox first (up to 3 attempts) before escalating to VNC
- For other CAPTCHAs (Arkose, hCaptcha, image puzzles), escalate to VNC immediately
- Always screenshot before and after to verify
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.
- 12d ago First seen · 69 lines · 49 tokens per session scan A e05a16a6c7da
navvi-login is a skill published in the GitHub repository fellowship-dev/navvi (9 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 723 once invoked, about $0.0002 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.
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