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/0dayinc/pwn/prompt_cachenpx skills add 0dayInc/pwn --skill prompt_cachegit 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/prompt_cache)<a href="https://agentmods.dev/skills/0dayinc/pwn/prompt_cache"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/prompt_cache.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 | $0.00023 | $0.00472 |
| Opus 5 | $0.00012 | $0.00236 |
| Sonnet 5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
pwn-ai-agent-promptcache 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
PWN::AI::Agent::PromptCache
agent-style prompt-cache breakpoints. The static system prefix + SKILLS index stay cacheable; dynamic MEMORY / LEARNING / MISTAKES / METRICS / EXTROSPECTION stay uncached so a turn-local write is not baked into the prefix. Anthropic: system is an array of text blocks; the last static block carries cache_control: { type: 'ephemeral' }. OpenAI Chat Completions: two system/developer messages (static then dynamic) plus prompt_cache_key for cache routing. xAI Grok Chat Completions: the same message split plus the x-grok-conv-id request header (sticky server routing). Gemini generateContent: systemInstruction.parts = [static, dynamic] so implicit prefix cache can hit the stable head. Ollama: no-op.
When to use
Call PWN::AI::Agent::PromptCache from pwn_eval when the task needs this module.
Do not reimplement it in shell.
Methodologies
Generated from pwn/ai/agent/prompt_cache.rb. Prefer the public class methods below.
Class methods take (opts = {}) and read opts.
How to call
PWN::AI::Agent::PromptCache.help
PWN::AI::Agent::PromptCache.enabled(opts)
Public methods
enabledsplit_systemanthropic_system_blocksopenai_messagesgemini_system_instructioncache_keycache_markssupportsauthorshelpenabled?
Source
pwn/ai/agent/prompt_cache.rb
Verification
PWN::AI::Agent::PromptCache.respond_to?(:enabled) after the
module is loaded. Read the source for parameter names.
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 · 56 lines · 23 tokens per session scan A 33cb6142a946
pwn-ai-agent-promptcache is a skill published in the GitHub repository 0dayInc/pwn (78 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 472 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.
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