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/turn_finalizernpx skills add 0dayInc/pwn --skill turn_finalizergit 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/turn_finalizer)<a href="https://agentmods.dev/skills/0dayinc/pwn/turn_finalizer"><img src="https://agentmods.dev/badge/skills/0dayinc/pwn/turn_finalizer.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 | $0.00024 | $0.00513 |
| Opus 5 | $0.00012 | $0.00257 |
| Sonnet 5 | $0.00005 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
pwn-ai-agent-turnfinalizer 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 yesterday.
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::TurnFinalizer
agent-style post-reply learning. Loop.run returns the user-visible answer first; Reward / Policy / Curriculum keep running off that path. User-visible turn (Loop.run) tools, streaming, TaskSummarizer, final text After the reply is already decided TurnFinalizer.defer -> daemon thread re-attaches the R5 episode snapshot Learning.auto_introspect (critic, Reward.judge, PRM, HER, reflect) Default ON during Loop.run (PWN::Env[:ai][:agent][:defer_introspect]). Direct Learning.auto_introspect calls (specs, cron, tools) stay inline so existing ORM contracts still get a synchronous return value.
When to use
Call PWN::AI::Agent::TurnFinalizer from pwn_eval when the task needs this module.
Do not reimplement it in shell.
Methodologies
Generated from pwn/ai/agent/turn_finalizer.rb. Prefer the public class methods below.
Class methods take (opts = {}) and read opts.
How to call
PWN::AI::Agent::TurnFinalizer.help
PWN::AI::Agent::TurnFinalizer.enter_user_path(opts)
Public methods
enter_user_pathleave_user_pathuser_pathshould_deferdeferfinalizejoin_allpendingarbitrateevidence_ledgerevidence_satisfiedauthorshelpenter_user_path!evidence_satisfied?join_all!leave_user_path!should_defer?user_path?
Source
pwn/ai/agent/turn_finalizer.rb
Verification
PWN::AI::Agent::TurnFinalizer.respond_to?(:enter_user_path) 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.
- yesterday Changed · +4 lines 77d1e794d480
- 5d ago First seen · 60 lines · 24 tokens per session scan A a4e289803d89
pwn-ai-agent-turnfinalizer is a skill published in the GitHub repository 0dayInc/pwn (78 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 513 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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