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 0dayInc/pwn --skill hidden_context_exposuregit clone --depth 1 https://github.com/0dayInc/pwnWrote 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/0dayinc/pwn/hidden_context_exposure)<a href="https://agentmods.dev/skills/0dayinc/pwn/hidden_context_exposure"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/hidden_context_exposure.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 5.1 | $0.00028 | $0.00364 |
| Opus 5 | $0.00014 | $0.00182 |
| Sonnet 5 | $0.00006 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
pwn-ai-redteam-hiddencontextexposure 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pwn-ai-redteam-multimodalinjection — 86% identical, 24 lines differ
What it actually says
PWN::AI::RedTeam::HiddenContextExposure
AI RedTeam Module used to extract or reconstruct hidden system instructions, tool schemas, refusal logic, and other non-user context (OWASP LLM08:2026). Broader than SystemPromptExtraction.
When to use
Call PWN::AI::RedTeam::HiddenContextExposure from pwn_eval when the task needs this module.
Do not reimplement it in shell.
Methodologies
Generated from pwn/ai/red_team/hidden_context_exposure.rb. Prefer the public class methods below.
Class methods take (opts = {}) and read opts.
How to call
PWN::AI::RedTeam::HiddenContextExposure.help
PWN::AI::RedTeam::HiddenContextExposure.scan(opts)
Public methods
scansecurity_referencesauthorshelp
References
references/security.md— CWE / NIST mappingreferences/urls.md— URLs from source
Source
pwn/ai/red_team/hidden_context_exposure.rb
Verification
PWN::AI::RedTeam::HiddenContextExposure.respond_to?(:scan) after the
module is loaded. Read the source for parameter names.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 54 lines · 28 tokens per session scan A fc6dc3696ea0
pwn-ai-redteam-hiddencontextexposure is a skill published in the GitHub repository 0dayInc/pwn (78 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 364 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 skills, from other repositories
race
Race condition / TOCTOU playbook — limit overrun (one-time codes used twice, gift cards spent twice), single-packet attack (last-byte sync) to force parallel processing, and state-confusion races (file upload + read, order before payment). Use when timing-sensitive logic could be abused — one-time codes, coupons/gift…
exploiting-insecure-deserialization
Identifying and exploiting insecure deserialization vulnerabilities in Java, PHP, Python, and .NET applications to achieve remote code execution during authorized penetration tests.
testing-for-business-logic-vulnerabilities
Identifying flaws in application business logic that allow price manipulation, workflow bypass, and privilege escalation beyond what technical vulnerability scanners can detect.
testing-for-sensitive-data-exposure
Identifying sensitive data exposure vulnerabilities including API key leakage, PII in responses, insecure storage, and unprotected data transmission during security assessments.
owasp-top-10-testing
Test an application against the OWASP Top 10 with Strix — autonomous AI agents that attempt real exploits for each category of the current OWASP Top 10:2025 (broken access control including SSRF, security misconfiguration, software supply chain failures, cryptographic failures, injection, insecure design…
application-security-testing
Application security testing (AppSec) across a whole product with Strix — decide which asset needs which test (source code, running web app, API, CI pipeline), run it, and turn the results into a ranked remediation plan. Autonomous agents exploit and prove each issue instead of emitting static-analysis alerts, so the…