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 UnboundCompute/security-agent-skills --skill hunting-mobile-tls-pinning-and-trust-gapsgit clone --depth 1 https://github.com/UnboundCompute/security-agent-skillsWrote 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/unboundcompute/security-agent-skills/hunting-mobile-tls-pinning-and-trust-gaps)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-mobile-tls-pinning-and-trust-gaps"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-mobile-tls-pinning-and-trust-gaps/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/unboundcompute/security-agent-skills/hunting-mobile-tls-pinning-and-trust-gaps"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-mobile-tls-pinning-and-trust-gaps.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 | $0.00172 | $0.02053 |
| Opus 5.5 | $0.00069 | $0.00821 |
| Sonnet 5.5 | $0.00034 | $0.00411 |
| Haiku 4.5 | $0.00017 | $0.00205 |
Grade A, and why
hunting-mobile-tls-pinning-and-trust-gaps 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 1mo 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting mobile TLS pinning and trust gaps: when the app trusts a network it should not
A mobile app talks to its backend over connections it treats as private, and that privacy depends entirely on the app rejecting any network position that would let someone read or alter the traffic. The app does that by validating the server's certificate against trusted anchors, refusing cleartext, and, for its most sensitive connections, pinning to a known certificate or key so even a trusted-but-wrong authority is rejected. The gap is any place the app accepts a network position it should reject: it trusts certificate authorities the user or a device profile added, it allows a cleartext or mixed connection, it disables or loosens validation for convenience, or it pins some connections but leaves an unpinned or fallback path a network attacker can take. The bug is not the absence of pinning everywhere; it is a sensitive connection the app treats as secure that an intercepting network position can actually read or alter. You hunt these by listing every connection and checking whether each resists a network attacker.
When to use
- A mobile app makes network connections it treats as private and you can observe its trust behavior.
- The app may trust user-added anchors, allow cleartext, or loosen certificate validation.
- Some sensitive connections may be unpinned, or pinning may have a bypassable fallback.
Scope check
Hunt transport trust gaps only on apps and networks you own or are authorized to assess, on test devices and accounts, interposing only on a network you control and never on real users' traffic. A confirmed gap exposes supposedly secure traffic, so keep every probe within scope. If you can't name the authorization, stop.
The loop
- Establish whether each sensitive connection rejects an intercepting position first. For each connection the app treats as private, determine whether it validates the certificate against trusted anchors, refuses cleartext, and, where required, pins to a known certificate or key, so an intercepting network position is rejected, or whether some trust gap lets that position succeed. This is the false-positive killer: a connection that validates strictly and pins where it matters cannot be read by a network attacker, so its presence is not a finding. Name the accepted network position before claiming interception.
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.
- 1mo ago First seen · 136 lines · 172 tokens per session scan A 2c22e8f82631
hunting-mobile-tls-pinning-and-trust-gaps is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 172 tokens to every session and 2,053 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-09.
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