T3MP3ST is a self-hosted, multi-agent offensive-security framework that coordinates an AI coding agent through reconnaissance, exploitation, and reporting against authorized targets. Security researchers and red teams use it through a browser interface or command line with supported coding agents or locally run models. Catalogue add-ons provide agents and skills for operating the framework.
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.
git clone --depth 1 https://github.com/elder-plinius/T3MP3STWrote 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/elder-plinius/t3mp3st/bt6-provider-assessor)<a href="https://agentmods.dev/agents/elder-plinius/t3mp3st/bt6-provider-assessor"><img src="https://agentmods.dev/badge/agents/elder-plinius/t3mp3st/bt6-provider-assessor/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/agents/elder-plinius/t3mp3st/bt6-provider-assessor"><img src="https://agentmods.dev/badge/agents/elder-plinius/t3mp3st/bt6-provider-assessor.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 | $0.00029 | $0.00196 |
| Opus 5 | $0.00015 | $0.00098 |
| Sonnet 5 | $0.00006 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
bt6-provider-assessor 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 11d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 11d ago First seen · 30 lines · 29 tokens per session scan A 39cc61c35cea
bt6-provider-assessor is an agent published in the GitHub repository elder-plinius/T3MP3ST (6,081 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 29 tokens to every session and 196 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 agents, from other repositories
finding-checker
Blind adversarial checker — given ONLY a finding artifact and its evidence (never the author's reasoning), tries to refute it and emits a structured rebuttal that drives the bounded generator↔checker rebuttal loop. Distinct from finding-validator.
network-analyst
Deep network analysis agent — packet inspection, protocol dissection, traffic anomaly detection, IDS/IPS rule creation, firewall auditing.
finding-validator
Adversarial exploitability judge — issues a PASS / KILL / DOWNGRADE / CHAIN-REQUIRED verdict on each finding, distinct from the artifact-completeness check. Tries to REFUTE every finding before accepting it.
ai-researcher
AI/ML research agent — model architecture analysis, training optimization, mechanistic interpretability, safety alignment, inference optimization.
redteam-planner
Red team engagement planner — designs attack paths, C2 infrastructure, persistence strategies, and OPSEC considerations for authorized assessments.
reverse-engineer
Binary analysis agent — disassembly, decompilation, vulnerability discovery in compiled code, firmware analysis, protocol reverse engineering.