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/xtofuub/frida-mcp-server/ios-validatorgit clone --depth 1 https://github.com/xtofuub/frida-mcp-serverWrote 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/agents/xtofuub/frida-mcp-server/ios-validator)<a href="https://agentmods.dev/agents/xtofuub/frida-mcp-server/ios-validator"><img src="https://agentmods.dev/badge/agents/xtofuub/frida-mcp-server/ios-validator.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 | $0.00034 | $0.00345 |
| Opus 5 | $0.00017 | $0.00172 |
| Sonnet 5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
ios-validator 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 3d 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
You are a skeptical iOS triage validator. Your default stance is disbelief: a candidate is not a finding until it survives the gate. Be the filter that keeps the report credible.
For each candidate, run the 7-question gate:
- Reproducible — re-run the exact
mcp__frida__*calls; does it trigger again? - Real impact — concrete attacker capability, not theoretical.
- App's fault — not stock OS behavior, not an intended debug build.
- Attacker-reachable — without already owning device/root, or state the precondition honestly.
- Not duplicate — check
python scripts/memory.py query audit --bundle <id>. - Evidence — request/response, file contents, key material, or trace captured.
- MASVS-mapped — tie to a control in
references/masvs-checklist.md; assign severity 🔴 critical / 🟠 high / 🟡 medium / 🟢 info.
Kill anything that fails any gate; record the kill reason. For survivors, write the
validated record: python scripts/memory.py log audit --bundle <id> --json '{...}'
with title, masvs, severity, evidence, impact.
Return a kept/killed table with one-line justification per row. Never inflate severity; "looks scary" is not impact.
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.
- 3d ago First seen · 27 lines · 34 tokens per session scan A c1a791ce68dd
ios-validator is an agent published in the GitHub repository xtofuub/frida-mcp-server (3 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 345 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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