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 skills/andrzejchm/fdb/using-fdbnpx skills add andrzejchm/fdb --skill using-fdbgit clone --depth 1 https://github.com/andrzejchm/fdbWrote 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/andrzejchm/fdb/using-fdb)<a href="https://agentmods.dev/skills/andrzejchm/fdb/using-fdb"><img src="https://agentmods.dev/badge/skills/andrzejchm/fdb/using-fdb.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 | $0.00247 | $0.00533 |
| Opus 5 | $0.00123 | $0.00267 |
| Sonnet 5 | $0.00049 | $0.00107 |
| Haiku 4.5 | $0.00025 | $0.00053 |
Grade A, and why
using-fdb 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.
What it actually says
Run fdb skill and read its full stdout output before doing anything with fdb.
That output is the authoritative, version-matched reference — it covers install,
fdb_helper setup, and the full command index.
For detailed docs on a specific topic, run fdb skill <topic>:
| Topic | What it covers |
|---|---|
fdb skill launch |
devices, launch, attach, doctor, reload, restart, status, kill, deeplinks, state files, best practices |
fdb skill interact |
screenshot, describe, tap, longpress, double-tap, input, scroll, scroll-to, swipe, back, widget key best practices |
fdb skill data |
shared-prefs, clean, ext (VM extensions), grant-permission, test setup best practices |
fdb skill diagnostics |
logs, syslog, crash-report, websocat fallback, debugPrint best practices |
fdb skill memory |
mem, gc, heap dump, leak-hunting workflow, GC-before-profiling best practices |
fdb skill simulator |
iOS simulator: appearance, text-size, status-bar, location, push, defaults, screenshot best practices |
Only load the topic you need — each sub-doc is self-contained.
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 First seen · 24 lines · 247 tokens per session scan A 66d89f1036fd
using-fdb is a skill published in the GitHub repository andrzejchm/fdb (45 stars, last pushed 6d ago), licensed MIT. It adds 247 tokens to every session and 533 once invoked, about $0.0012 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.
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