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.
npx skills add elder-plinius/T3MP3ST --skill bt6-pr-auditgit 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/skills/elder-plinius/t3mp3st/bt6-pr-audit)<a href="https://agentmods.dev/skills/elder-plinius/t3mp3st/bt6-pr-audit"><img src="https://agentmods.dev/badge/skills/elder-plinius/t3mp3st/bt6-pr-audit/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/elder-plinius/t3mp3st/bt6-pr-audit"><img src="https://agentmods.dev/badge/skills/elder-plinius/t3mp3st/bt6-pr-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00912 |
| Opus 5.5 | $0.00016 | $0.00365 |
| Sonnet 5.5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
bt6-pr-audit 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 2mo 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.
- 2mo ago First seen · 97 lines · 40 tokens per session scan A 3064366f1cf0
bt6-pr-audit is a skill published in the GitHub repository elder-plinius/T3MP3ST (6,658 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 40 tokens to every session and 912 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
vulnerability-analysis
Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risks.
fabric-spec
Starts a persistent Pi Fabric spec supervisor that audits the main session against a feature design spec and steers only when a requirement lacks verified evidence. Use for strict, unblocked spec compliance while the main agent keeps full freedom to orchestrate.
fabric-advisor
Starts a persistent Pi Fabric peer advisor that reviews the main agent at decision points and surfaces only concrete, material advice. Use for ambient correctness review without another extension.
lavra-review
Perform exhaustive code reviews using multi-agent analysis and ultra-thinking.
lavra-eng-review
Engineering review -- parallel agents check architecture, simplicity, security, and performance.
second-opinion
GPT (GPT-6 Astra by default) as advisor, adversarial reviewer or judge through headless codex exec, always read-only; never an implementer. Modes: advise (independent read on a plan, diff or design, beside Claude's own view, with follow-ups), review (Codex's built-in reviewer on uncommitted work, a branch or a…